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HWGenotypePlot <- function(X,plottype=1,xlab=expression(f[AA]),ylab=ifelse(plottype==1,expression(f[AB]),
expression(f[BB])),asp=1,pch=19,xlim=c(0,1),ylim=c(0,1),cex=1,cex.axis=2,cex.lab=2,...) {
if (is.vector(X)) {
if (length(X) != 3) {
stop("X must have three elements")
}
else {
X <- matrix(X, ncol = 3, dimnames = list(c("1"),
names(X)))
}
}
nr <- nrow(X)
nc <- ncol(X)
if (any(X < 0))
stop("X must be non-negative")
if (nc != 3)
stop("X must have three columns")
if (nrow(X) == 1) {
Xcom <- X/sum(X)
} else {
Xcom <- HWClo(X)
}
fAA <- seq(0,1,by=0.01)
fAB <- 2*(sqrt(fAA)-fAA)
fBB <- (1-sqrt(fAA))^2
if(is.element(plottype,c(1,2))) {
opar <- par(mar=c(5,5,2,1))
if(plottype==1) {
plot(Xcom[,1],Xcom[,2],pch=pch,xlim=xlim,ylim=ylim,xlab=xlab,ylab=ylab,cex=cex,cex.axis=cex.axis,cex.lab=cex.lab,...)
lines(c(0,1),c(1,0),lwd=2,col="red")
points(fAA,fAB,pch=19,col="blue",type="l",lwd=2)
}
if(plottype==2) {
plot(Xcom[,1],Xcom[,3],pch=pch,xlim=xlim,ylim=ylim,xlab=xlab,ylab=ylab,cex=cex,cex.axis=cex.axis,cex.lab=cex.lab,...)
lines(c(0,1),c(1,0),lwd=2,col="red")
points(fAA,fBB,pch=19,col="blue",type="l",lwd=2)
}
par(opar)
} else stop("HWGenotypePlot: invalid argument for plottype")
return(NULL)
} |
BP2D_coef <- function(result) {
if (class(result) == "BP2D_result") {
len_coef <- list()
for (j in seq_len(length(result$store_coefficient))) {
len_coef[[j]] <- sapply(result$store_coefficient[[j]], length)
}
len_coef <- do.call(cbind, len_coef)
store_coef <- lapply(result$store_coef, unlist)
max_len <- max(sapply(store_coef, length))
store_coef <- sapply(store_coef, function(x) c(x, rep(NA, max_len - length(x))))
colnames(len_coef) <- colnames(store_coef) <- names(result$store_coefficient)
row.names(len_coef) <- seq_len(nrow(len_coef))
row.names(store_coef) <- seq_len(nrow(store_coef))
return(list(store_coefficient = store_coef, len_coefficient = len_coef))
} else {
stop("Please check your input and try again")
}
} |
euclidean.compy.f <- function(modsite, fossite){
return(fossite[2]- modsite[2])
} |
Read_Results <- function(file, node = "pre") {
if (stringr::str_detect(file, "\\.pdf$|\\.aspx$") == TRUE) {
results <- pdftools::pdf_text(file)
as_lines <- stringr::str_extract_all(results, "\n.*")
as_lines_list_2 <- unlist(as_lines, recursive = FALSE)
as_lines_list_2 <- read_results_flag(as_lines_list_2)
return(as_lines_list_2)
} else if (stringr::str_detect(file, "\\.htm") == TRUE) {
if (is.character(node) == FALSE) {
stop(" Please supply a value for node")
} else {
webpage <- xml2::read_html(file)
html <- rvest::html_nodes(webpage, node)
results <- rvest::html_text(html)
as_lines <- stringr::str_extract_all(results, "\n.*")
as_lines_list_2 <- unlist(as_lines, recursive = FALSE)
as_lines_list_2 <- read_results_flag(as_lines_list_2)
return(as_lines_list_2)
}
} else if (stringr::str_detect(file, "\\.hy3") == TRUE) {
results <-
readr::read_delim(file, delim = "\\s\\2", col_names = FALSE)
as_lines_list_2 <- unlist(results, recursive = FALSE)
as_lines_list_2 <- read_results_flag(as_lines_list_2)
row_numbs <- seq(1, length(as_lines_list_2), 1)
as_lines_list_2 <- paste(as_lines_list_2, row_numbs, sep = " ")
return(as_lines_list_2)
} else {
stop("Please supply a valid .html, .hy3 or .pdf document")
}
}
read_results <- Read_Results
read_results_flag <- function(x){
x <- c("read_results_flag", x)
} |
validate_colours <- function(x, on_invalid = stop) {
validation <- is_colour(x)
n_invalid <- sum(!validation)
if (n_invalid == 1) {
on_invalid(x[!validation], ' is not a valid colour.', call. = FALSE)
} else if (n_invalid > 1) {
on_invalid(display_list(x[!validation]), ' are not valid colours.', call. = FALSE)
}
} |
blandr.plot.ggplot <- function ( statistics.results ,
method1name = "Method 1" ,
method2name = "Method 2" ,
plotTitle = "Bland-Altman plot for comparison of 2 methods" ,
ciDisplay = TRUE ,
ciShading = TRUE ,
normalLow = FALSE ,
normalHigh = FALSE ,
overlapping = FALSE ,
x.plot.mode = "means" ,
y.plot.mode = "difference" ,
plotProportionalBias = FALSE ,
plotProportionalBias.se = TRUE ,
assume.differences.are.normal = TRUE
) {
if (!requireNamespace("ggplot2", quietly = TRUE)) {
stop("Package \"ggplot2\" needed for this function to work. Please install it.",
call. = FALSE)
}
x.axis <- statistics.results$means
if( y.plot.mode == "proportion" ) {
y.axis <- statistics.results$proportion
} else {
y.axis <- statistics.results$differences
}
plot.data <- data.frame( x.axis , y.axis )
colnames(plot.data)[1] <- "x.axis"
colnames(plot.data)[2] <- "y.axis"
ba.plot <- ggplot( plot.data , aes( x = plot.data$x.axis , y = plot.data$y.axis ) ) +
geom_point() +
theme(plot.title = element_text(hjust = 0.5)) +
geom_hline( yintercept = 0 , linetype = 1 ) +
geom_hline( yintercept = statistics.results$bias , linetype = 2 ) +
geom_hline( yintercept = statistics.results$bias + ( statistics.results$biasStdDev * statistics.results$sig.level.convert.to.z ) , linetype = 2 ) +
geom_hline( yintercept = statistics.results$bias - ( statistics.results$biasStdDev * statistics.results$sig.level.convert.to.z ) , linetype = 2 ) +
ggtitle( plotTitle ) +
xlab( "Means" )
if ( y.plot.mode == "proportion" ) {
ba.plot <- ba.plot + ylab( "Difference / Average %" )
} else {
ba.plot <- ba.plot + ylab( "Differences" )
}
if( ciDisplay == TRUE ) {
ba.plot <- ba.plot +
geom_hline( yintercept = statistics.results$biasUpperCI , linetype = 3 ) +
geom_hline( yintercept = statistics.results$biasLowerCI , linetype = 3 ) +
geom_hline( yintercept = statistics.results$upperLOA_upperCI , linetype = 3 ) +
geom_hline( yintercept = statistics.results$upperLOA_lowerCI , linetype = 3 ) +
geom_hline( yintercept = statistics.results$lowerLOA_upperCI , linetype = 3 ) +
geom_hline( yintercept = statistics.results$lowerLOA_lowerCI , linetype = 3 )
if( ciShading == TRUE ) {
ba.plot <- ba.plot +
annotate( "rect", xmin = -Inf , xmax = Inf , ymin = statistics.results$biasLowerCI , ymax = statistics.results$biasUpperCI , fill="blue" , alpha=0.3 ) +
annotate( "rect", xmin = -Inf , xmax = Inf , ymin = statistics.results$upperLOA_lowerCI , ymax = statistics.results$upperLOA_upperCI , fill="green" , alpha=0.3 ) +
annotate( "rect", xmin = -Inf , xmax = Inf , ymin = statistics.results$lowerLOA_lowerCI , ymax = statistics.results$lowerLOA_upperCI , fill="red" , alpha=0.3 )
}
}
if( normalLow != FALSE ) {
if( is.numeric(normalLow) == TRUE ) {
ba.plot <- ba.plot + geom_vline( xintercept = normalLow , linetype = 4 , col=6 )
}
}
if( normalHigh != FALSE ) {
if( is.numeric(normalHigh) == TRUE ) {
ba.plot <- ba.plot + geom_vline( xintercept = normalHigh , linetype = 4 , col=6 )
}
}
if( overlapping == TRUE ) {
ba.plot <- ba.plot + geom_count()
}
if( plotProportionalBias == TRUE ) {
if( plotProportionalBias.se !=TRUE && plotProportionalBias.se != FALSE) {
plotProportionalBias.se <- TRUE
}
ba.plot <- ba.plot + ggplot2::geom_smooth( method = 'lm' , se = plotProportionalBias.se )
}
return(ba.plot)
} |
NULL
setClass("DamerauLevenshtein", contains = "Levenshtein",
slots = c(transposition = "numeric"),
prototype = structure(
.Data = function(x, y, ...) elementwise(sys.function(), x, y, ...),
transposition = 1.0
),
validity = function(object) {
errs <- character()
if (object@transposition < 0 | length(object@transposition) != 1)
errs <- c(errs, "`transposition` must be a non-negative numeric vector of length 1")
ifelse(length(errs) == 0, TRUE, errs)
})
DamerauLevenshtein <- function(deletion = 1.0, insertion = 1.0, substitution = 1.0,
transposition = 1.0, normalize = FALSE, similarity = FALSE,
ignore_case = FALSE, use_bytes = FALSE) {
arguments <- c(as.list(environment()))
arguments$similarity <- similarity
arguments$distance <- !similarity
arguments$symmetric <- deletion == insertion
arguments$tri_inequal <- deletion == insertion & !similarity
do.call("new", append("DamerauLevenshtein", arguments))
} |
bootstrapSoilTexture <- function(ssc, method = c('dirichlet', 'normal'), n = 100) {
if(!requireNamespace("compositions", quietly = TRUE))
stop("package `compositions` is required", call.=FALSE)
ssc <- na.omit(ssc)
method <- match.arg(method)
if(ncol(ssc) < 3 | nrow(ssc) < 3) {
stop('insufficient observations or incorrect column specification', call. = FALSE)
}
name.check <- sapply(c('SAND', 'SILT', 'CLAY'), function(i) {
any(names(ssc) %in% i)
})
if(! all(name.check)) {
stop('`ssc` must contain columns: `SAND`, `SILT`, `CLAY`.')
}
ssc <- ssc[, c('SAND', 'SILT', 'CLAY')]
range.check <- range(sapply(ssc, range))
if(! all(range.check >= 0 & range.check < 100)) {
stop('data should be in the range of 0 to 100 (%)', call. = FALSE)
}
z <- compositions::acomp(ssc, total = 100)
mean.comp <- compositions::meanCol(z)
var.comp <- compositions::var(z, robust = FALSE, method = 'pearson')
s <- switch(
method,
'normal' = {
D <- NULL
compositions::rnorm.acomp(
n = n,
mean = mean.comp,
var = var.comp
)
},
'dirichlet' = {
el <- compositions::mean.rmult(compositions::ult(z), robust = FALSE)
D <- compositions::fitDirichlet(z, elog = el)$alpha
compositions::rDirichlet.acomp(n = n, alpha = D)
}
)
s <- as.data.frame(unclass(s) * 100)
names(s) <- names(ssc)
res <- list(
samples = s,
mean = mean.comp,
var = var.comp,
D.alpha = D
)
return(res)
} |
expected <- eval(parse(text="TRUE"));
test(id=0, code={
argv <- eval(parse(text="list(function (object) TRUE)"));
.Internal(`body`(argv[[1]]));
}, o=expected); |
library(gtools)
today <- Sys.Date()
tenweeks <- seq(today, length.out = 10, by = "1 week")
df1 <- data.frame(dates = tenweeks, chars = letters[1:10], ints = 1:10, numeric = 1.1:10.1)
df2 <- data.frame(chars = letters[11:20], ints = 11:20, numeric = 11.1:20.1)
smartbind(df1, df2) |
determine_mapping <- function(df, ..., listviewer = TRUE){
df %>%
framecleaner::select_otherwise(..., otherwise = tidyselect::everything(), return_type = "df") %>%
dplyr::ungroup(.) -> df1
if(ncol(df1) < 2){
rlang::abort("insufficient non-unique columns")
}
cnf_output <- list()
for(i in 2:ncol(df1)){
for(j in 1:(i-1)){
nm1 <- rlang::sym(names(df1)[i])
nm2 <- rlang::sym(names(df1)[j])
cnf_output <- append(cnf_output, utils::capture.output(suppressMessages(confirm_mapping(df1, !!nm1, !!nm2, view = F))) )
}
}
cnf_output %>% unlist -> cnf_output1
list_output <- list()
list_output[["1 - 1 mapping"]] <- stringr::str_subset(cnf_output1, "1 - 1 mapping") %>% stringr::str_remove(., "1 - 1 mapping between ")
list_output[["1 - many mapping"]] <- stringr::str_subset(cnf_output1, "1 - many mapping") %>% stringr::str_remove(., "1 - many mapping between ")
list_output[["many - 1 mapping"]] <- stringr::str_subset(cnf_output1, "many - 1 mapping") %>% stringr::str_remove(., "many - 1 mapping between ")
list_output[["many - many mapping"]] <- stringr::str_subset(cnf_output1, "many - many mapping") %>% stringr::str_remove(., "many - many mapping between ")
if(listviewer){
listviewer::jsonedit(list_output)} else {
list_output
}
} |
sanity_model_specific <- function (model, ...) {
UseMethod("sanity_model_specific", model)
}
sanity_model_specific.default <- function(model, ...) {
return(invisible(NULL))
}
sanity_model_supported_class <- function(model) {
supported <- list("betareg",
"bife",
"brglmFit",
"brmsfit",
c("bracl", "brmultinom", "brglmFit"),
c("brnb", "negbin", "glm"),
"clm",
"coxph",
"crch",
"fixest",
c("Gam", "glm", "lm"),
c("gam", "glm", "lm"),
c("geeglm", "gee", "glm"),
"glm",
"gls",
"glmerMod",
"glmrob",
c("glmmPQL", "lme"),
"glimML",
"glmx",
"hurdle",
"hxlr",
"ivreg",
"iv_robust",
"lm",
"lmerMod",
"lmerModLmerTest",
"lmrob",
"lmRob",
"lm_robust",
"loess",
c("lrm", "lm"),
c("lrm", "rms", "glm"),
c("mblogit", "mclogit"),
c("mclogit", "lm"),
c("multinom", "nnet"),
c("negbin", "glm", "lm"),
c("plm", "panelmodel"),
"polr",
"rlmerMod",
"rq",
c("scam", "glm", "lm"),
"speedglm",
"speedlm",
"stanreg",
c("tobit", "survreg"),
"truncreg",
"zeroinfl")
flag <- FALSE
for (sup in supported) {
if (all(sup %in% class(model))) {
flag <- TRUE
}
}
if (isFALSE(flag)) {
support <- paste(sort(unique(sapply(supported, function(x) x[1]))), collapse = ", ")
msg <-
'Models of class "%s" are not supported.
Supported model classes include: %s.
New modeling packages can usually be supported by `marginaleffects` if they include a working `predict()` method. If you believe that this is the case, please file a feature request on Github: https://github.com/vincentarelbundock/marginaleffects/issues'
msg <- sprintf(msg, class(model)[1], support)
stop(msg)
}
}
sanity_model <- function(model, ...) {
sanity_model_specific(model, ...)
sanity_model_supported_class(model)
return(model)
} |
mergeDocumentation <- function(x) {
if(!anyDuplicated(names(x))) return(x)
out <- list()
for(i in unique(names(x))) {
out[[i]] <- unlist(x[names(x)==i], use.names=FALSE)
}
return(out)
} |
met.geodesic <- function(M, weighted = TRUE, shortest.weight = FALSE, normalization = TRUE, directed = TRUE, out = TRUE) {
test <- is.matrix(M)
if (test) {
result <- met.geodesicDiameter.single(M, weighted, shortest.weight, normalization, directed, out)[[2]]
return(result)
}
else {
if (!is.null(attributes(M)$ANT)) {
test1 <- attributes(M)$ANT == "list of matrices obtained through data frames of interactions"
if(test1){
result <- lapply(M, function(x, weighted, shortest.weight, normalization, directed, out) {
r <- met.geodesicDiameter.single(x, weighted = weighted, shortest.weight = shortest.weight, normalization = normalization, directed = directed, out = out)[[2]]
}, weighted = weighted, shortest.weight = shortest.weight, normalization = normalization, directed = directed, out = out)
return(result)
}
else{
stop("Geodesic distances is a matrix and cannot be analyse on ANTs analyticial protocols ")
}
}
else {
if (!test & is.list(M)) {
result <- lapply(M, function(x, weighted, shortest.weight, normalization, directed, out) {
r <- met.geodesicDiameter.single(x, weighted = weighted, shortest.weight = shortest.weight, normalization = normalization, directed = directed, out = out)[[2]]
}, weighted = weighted, shortest.weight = shortest.weight, normalization = normalization, directed = directed, out = out)
return(result)
}
}
}
} |
IPA_TargetedAnalysis <- function(spreadsheet, mzCandidate, rtCandidate, exportEIC = TRUE, exportTable = FALSE) {
cc_table <- c()
if (length(mzCandidate) != length(rtCandidate)) {
stop("Error!!! mz and rt vectors do not have the same length!")
}
PARAM <- xlsxAnalyzer_EIC(spreadsheet)
if (length(PARAM) > 0) {
number_processing_cores <- as.numeric(PARAM[which(PARAM[, 1] == 'PARAM0006'), 2])
input_path_hrms <- PARAM[which(PARAM[, 1] == 'PARAM0007'), 2]
if (tolower(PARAM[which(PARAM[, 1] == 'PARAM0008'), 2]) == "all") {
file_name_hrms <- dir(path = input_path_hrms)
file_name_hrms <- file_name_hrms[grep(paste0(".", tolower(PARAM[which(PARAM[, 1] == 'PARAM0009'), 2]), "$"), file_name_hrms, ignore.case = TRUE)]
} else {
samples_string <- PARAM[which(PARAM[, 1] == 'PARAM0008'), 2]
file_name_hrms <- strsplit(samples_string, ";")[[1]]
}
output_path <- PARAM[which(PARAM[, 1] == 'PARAM0010'), 2]
if (!dir.exists(output_path)) {
print("Created output directory!")
dir.create(output_path)
}
output_path_eic <- paste0(output_path, "/EICs")
if (!dir.exists(output_path_eic)) {
dir.create(output_path_eic)
}
opendir(output_path_eic)
if (exportEIC == TRUE) {
img <- png::readPNG(paste0(system.file("extdata", package = "IDSL.IPA"),"/EIC_legend.png"))
legend_EIC <- grid::rasterGrob(img, interpolate = TRUE)
}
max_ratio_13c <- as.numeric(PARAM[which(PARAM[, 1] == 'PARAM0012'), 2])
mass_accuracy_xic <- as.numeric(PARAM[which(PARAM[, 1] == 'PARAM0013'), 2])
mass_accuracy_13c <- 1.5*mass_accuracy_xic
smoothing_window <- as.numeric(PARAM[which(PARAM[, 1] == 'PARAM0015'), 2])
peak_resolving_power <- as.numeric(PARAM[which(PARAM[, 1] == 'PARAM0017'), 2])
scan_tol <- as.numeric(PARAM[which(PARAM[, 1] == 'PARAM0020'), 2])
n_spline <- as.numeric(PARAM[which(PARAM[, 1] == 'PARAM0028'), 2])
R0 <- c(1, 2, 4, 5, 6, 7, 9, 14, 24)
R3 <- c(3, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23)
R5 <- c(8, 10)
osType <- Sys.info()[['sysname']]
print("Initiated the targeted analysis!")
if(osType == "Windows") {
cl <- makeCluster(number_processing_cores)
registerDoSNOW(cl)
cc_table <- foreach(i = 1:length(file_name_hrms), .combine ='rbind', .verbose = FALSE) %dopar% {
MassSpec_file <- paste0(input_path_hrms, "/", file_name_hrms[i])
outputer <- MS_deconvoluter(MassSpec_file)
spectraList <- outputer[[1]]
RetentionTime <- outputer[[2]]
nRT <- length(RetentionTime)
chrome <- do.call(rbind, lapply(1:length(mzCandidate), function(j) {
ScanNumberApex <- which.min(abs(RetentionTime - rtCandidate[j]))
t1 <- ScanNumberApex - scan_tol
if (t1 < 1) {
t1 <- 1
}
t2 <- ScanNumberApex + scan_tol
if (t2 > nRT) {
t2 <- nRT
}
chromatogram_segment <- do.call(rbind, lapply(t1:t2, function(t) {
Spec_ScN_j <- c()
Spec <- spectraList[[t]]
if (length(Spec) > 0) {
x_mz1 <- which(abs(Spec[, 1] - mzCandidate[j]) <= mass_accuracy_xic)
if (length(x_mz1) > 0) {
x_mz2 <- which(abs(Spec[, 1] - (1.00335484 + mzCandidate[j])) <= mass_accuracy_13c)
if (length(x_mz2) > 0) {
if (length(x_mz1) > 1) {
x_min <- which.min(abs(Spec[x_mz1, 1] - mzCandidate[j]))
x_mz1 <- x_mz1[x_min]
}
if (length(x_mz2) > 1) {
x_min <- which.min(abs(Spec[x_mz2, 1] - (1.00335484 + mzCandidate[j])))
x_mz2 <- x_mz2[x_min]
}
if (Spec[x_mz2, 2]/Spec[x_mz1, 2] <= max_ratio_13c/100) {
Spec_ScN_j <- c(Spec[x_mz1, 1], Spec[x_mz1, 2], t, Spec[x_mz2, 1], Spec[x_mz2, 2])
}
}
}
}
Spec_ScN_j
}))
if (length(chromatogram_segment) != 0) {
chromatogram_segment <- chromatogram_segment[order(chromatogram_segment[, 3]), ]
chromatogram_segment <- matrix(chromatogram_segment, ncol = 5)
} else {
chromatogram_segment <- matrix(c(mzCandidate[j], mzCandidate[j], 0 , 0 , t1, t2, 0, 0, 0, 0), ncol = 5)
}
if (chromatogram_segment[1, 3] != t1) {
chromatogram_segment <- rbind(c(mzCandidate[j], 0, t1, 0, 0), chromatogram_segment)
}
if (chromatogram_segment[dim(chromatogram_segment)[1], 3] != t2) {
chromatogram_segment <- rbind(chromatogram_segment, c(mzCandidate[j], 0, t2, 0, 0))
}
peak_property <- chromatography_analysis(chromatogram_segment, smoothing_window, peak_resolving_power,
min_nIsoPair = 0, min_peak_height = 0, min_ratio_IsoPair = 0, max_rpw = 1, min_snr_baseline = 0,
max_R13C_integrated_peak = Inf, max_percentage_missing_scans = Inf, mz_target = mzCandidate[j],
rt_target = rtCandidate[j], mass_accuracy_xic, spectraList, RetentionTime, n_spline)
if (length(peak_property) > 0) {
peak_property <- matrix(peak_property, ncol = 1)
peak_property[R0] <- round(peak_property[R0], 0)
peak_property[R3] <- round(peak_property[R3], 3)
peak_property[R5] <- round(peak_property[R5], 5)
peak_property_xic <- c(peak_property[3], peak_property[8], peak_property[10], mass_accuracy_xic, peak_property[1:2], peak_property[4:7], peak_property[9], peak_property[11:24])
peak_property_xic <- data.frame(peak_property_xic)
colnames(peak_property_xic) <- ""
rownames(peak_property_xic) <- c("Retention time (min)", "m/z (monoisotopic)", "m/z (13C)", "Mass tolerance (Da)", "Scan (start)",
"Scan (end)", "Peak height", "Peak area", "nIsoPair", "RCS(%)", "Cumulative intensity",
"R13C (%)", "Peak width @ baseline", "Ratio peak width @ 50%", "Separation trays", "Asymmetry factor @ 10%",
"USP tailing factor @ 5%", "Skewness derivative method", "Symmetry pseudo-moments", "Skewness pseudo-moments",
"Gaussianity", "S/N baseline", "S/N xcms method", "S/N RMS", "Sharpness")
if (exportEIC == TRUE) {
EIC_figure <- EIC_plotter(chromatogram_segment, peak_property_xic, smoothing_window, peak_resolving_power,
mass_accuracy_xic, spectraList, RetentionTime, mz_target = mzCandidate[j], rt_target = rtCandidate[j], file_name = file_name_hrms[i], legend_EIC)
ggsave(filename=paste0("/IPA_EIC_", file_name_hrms[i], "_", j, "_", round(mzCandidate[j], 5), "_",round(rtCandidate[j], 2), ".png"),
plot = EIC_figure,
device = "png",
path = output_path_eic,
scale = 1,
width = 16,
height = 8,
units = "in",
dpi = 100)
}
} else {
peak_property <- rep(0, 24)
}
cbind(file_name_hrms[i], round(mzCandidate[j], 5), round(rtCandidate[j], 2), data.frame(matrix(peak_property, nrow = 1)))
}))
chrome
}
stopCluster(cl)
}
if (osType == "Linux") {
cc_table <- do.call(rbind, lapply(1:length(file_name_hrms), function(i) {
MassSpec_file <- paste0(input_path_hrms, "/", file_name_hrms[i])
outputer <- MS_deconvoluter(MassSpec_file)
spectraList <- outputer[[1]]
RetentionTime <- outputer[[2]]
nRT <- length(RetentionTime)
chrome <- do.call(rbind, mclapply(1:length(mzCandidate), function(j) {
ScanNumberApex <- which.min(abs(RetentionTime - rtCandidate[j]))
t1 <- ScanNumberApex - scan_tol
if (t1 < 1) {
t1 <- 1
}
t2 <- ScanNumberApex + scan_tol
if (t2 > nRT) {
t2 <- nRT
}
chromatogram_segment <- do.call(rbind, lapply(t1:t2, function(t) {
Spec_ScN_j <- c()
Spec <- spectraList[[t]]
if (length(Spec) > 0) {
x_mz1 <- which(abs(Spec[, 1] - mzCandidate[j]) <= mass_accuracy_xic)
if (length(x_mz1) > 0) {
x_mz2 <- which(abs(Spec[, 1] - (1.00335484 + mzCandidate[j])) <= mass_accuracy_13c)
if (length(x_mz2) > 0) {
if (length(x_mz1) > 1) {
x_min <- which.min(abs(Spec[x_mz1, 1] - mzCandidate[j]))
x_mz1 <- x_mz1[x_min]
}
if (length(x_mz2) > 1) {
x_min <- which.min(abs(Spec[x_mz2, 1] - (1.00335484 + mzCandidate[j])))
x_mz2 <- x_mz2[x_min]
}
if (Spec[x_mz2, 2]/Spec[x_mz1, 2] <= max_ratio_13c/100) {
Spec_ScN_j <- c(Spec[x_mz1, 1], Spec[x_mz1, 2], t, Spec[x_mz2, 1], Spec[x_mz2, 2])
}
}
}
}
Spec_ScN_j
}))
if (length(chromatogram_segment) != 0) {
chromatogram_segment <- chromatogram_segment[order(chromatogram_segment[, 3]), ]
chromatogram_segment <- matrix(chromatogram_segment, ncol = 5)
} else {
chromatogram_segment <- matrix(c(mzCandidate[j], mzCandidate[j], 0 , 0 , t1, t2, 0, 0, 0, 0), ncol = 5)
}
if (chromatogram_segment[1, 3] != t1) {
chromatogram_segment <- rbind(c(mzCandidate[j], 0, t1, 0, 0), chromatogram_segment)
}
if (chromatogram_segment[dim(chromatogram_segment)[1], 3] != t2) {
chromatogram_segment <- rbind(chromatogram_segment, c(mzCandidate[j], 0, t2, 0, 0))
}
peak_property <- chromatography_analysis(chromatogram_segment, smoothing_window, peak_resolving_power,
min_nIsoPair = 0, min_peak_height = 0, min_ratio_IsoPair = 0, max_rpw = 1, min_snr_baseline = 0,
max_R13C_integrated_peak = Inf, max_percentage_missing_scans = Inf, mz_target = mzCandidate[j],
rt_target = rtCandidate[j], mass_accuracy_xic, spectraList, RetentionTime, n_spline)
if (length(peak_property) > 0) {
peak_property <- matrix(peak_property, ncol = 1)
peak_property[R0] <- round(peak_property[R0], 0)
peak_property[R3] <- round(peak_property[R3], 3)
peak_property[R5] <- round(peak_property[R5], 5)
peak_property_xic <- c(peak_property[3], peak_property[8], peak_property[10], mass_accuracy_xic, peak_property[1:2], peak_property[4:7], peak_property[9], peak_property[11:24])
peak_property_xic <- data.frame(peak_property_xic)
colnames(peak_property_xic) <- ""
rownames(peak_property_xic) <- c("Retention time (min)", "m/z (monoisotopic)", "m/z (13C)", "Mass tolerance (Da)", "Scan (start)",
"Scan (end)", "Peak height", "Peak area", "nIsoPair", "RCS(%)", "Cumulative intensity",
"R13C (%)", "Peak width @ baseline", "Ratio peak width @ 50%", "Separation trays", "Asymmetry factor @ 10%",
"USP tailing factor @ 5%", "Skewness derivative method", "Symmetry pseudo-moments", "Skewness pseudo-moments",
"Gaussianity", "S/N baseline", "S/N xcms method", "S/N RMS", "Sharpness")
if (exportEIC == TRUE) {
EIC_figure <- EIC_plotter(chromatogram_segment, peak_property_xic, smoothing_window, peak_resolving_power,
mass_accuracy_xic, spectraList, RetentionTime, mz_target = mzCandidate[j], rt_target = rtCandidate[j], file_name = file_name_hrms[i], legend_EIC)
ggsave(filename=paste0("/IPA_EIC_", file_name_hrms[i], "_", j, "_", round(mzCandidate[j], 5), "_",round(rtCandidate[j], 2), ".png"),
plot = EIC_figure,
device = "png",
path = output_path_eic,
scale = 1,
width = 16,
height = 8,
units = "in",
dpi = 100)
}
} else {
peak_property <- rep(0, 24)
}
cbind(file_name_hrms[i], round(mzCandidate[j], 5), round(rtCandidate[j], 2), data.frame(matrix(peak_property, nrow = 1)))
}, mc.cores = number_processing_cores))
chrome
}))
closeAllConnections()
}
print("Completed the targeted analysis!")
}
if (exportTable == TRUE) {
if (length(cc_table) > 0) {
cc_table <- data.frame(cc_table)
names(cc_table) <- c("Name HRMS", "m/z candidate", "RT candidate",
"ScanNumberStart","ScanNumberEnd","RetentionTimeApex","PeakHeight","PeakArea",
"NumberDetectedScans(nIsoPair)","RCS(%)","m/z MonoIsotopic","CumulatedIntensity",
"m/z 13C","Ratio 13C CumulatedIntensity","PeakWidthBaseline","Ratio PeakWidth @ 50%",
"SeperationTray","AsymmetryFactor @ 10%","USPTailingFactor @ 5%",
"Skewness_DerivativeMethod", "Symmetry PseudoMoments","Skewness PseudoMoments",
"Gaussianity", "S/N baseline", "S/N xcms method", "S/N RMS", "Sharpness")
rownames(cc_table) <- c()
save(cc_table, file = paste0(output_path, "/exportTable.Rdata"))
write.csv(cc_table, file = paste0(output_path, "/exportTable.csv"))
}
}
} |
FunctionImputation <- R6Class("FunctionImputation",
inherit = DistributionDecorator,
public = list(
packages = c("pracma", "GoFKernel"),
decorate = function(distribution, n = 1000) {
assert_pkgload(self$packages)
if (!testUnivariate(distribution)) {
stop("FunctionImputation is currently only supported for univariate distributions.")
}
if ("FunctionImputation" %in% distribution$decorators) {
message(paste(distribution$name, "is already decorated with FunctionImputation."))
invisible(self)
} else {
pdist <- distribution$.__enclos_env__$private
pdist$.log <- TRUE
pdist$n_grid <- checkmate::assertIntegerish(n)
if (!isPdf(distribution)) {
pdf <- FunctionImputation$private_methods$.pdf
formals(pdf) <- c(formals(pdf), list(self = distribution, private = pdist))
pdist$.pdf <- pdf
pdist$.isPdf <- -1L
}
if (!isCdf(distribution)) {
cdf <- FunctionImputation$private_methods$.cdf
formals(cdf) <- c(formals(cdf), list(self = distribution, private = pdist))
pdist$.cdf <- cdf
pdist$.isCdf <- -1L
}
if (!isQuantile(distribution)) {
quantile <- FunctionImputation$private_methods$.quantile
formals(quantile) <- c(formals(quantile), list(self = distribution, private = pdist))
pdist$.quantile <- quantile
pdist$.isQuantile <- -1L
}
if (!isRand(distribution)) {
rand <- FunctionImputation$private_methods$.rand
formals(rand) <- c(formals(rand), list(self = distribution, private = pdist))
pdist$.rand <- rand
pdist$.isRand <- -1L
}
message(paste(distribution$name, "is now decorated with FunctionImputation."))
pdist$.updateDecorators(c(distribution$decorators, "FunctionImputation"))
invisible(self)
}
}
),
active = list(
methods = function() {
names(private)
}
),
private = list(
.pdf = function(x, log = FALSE) {
if (testDiscrete(self)) {
data <- matrix(x, ncol = 1)
pdf <- self$cdf(data = data) - self$cdf(data = data - 1)
} else if (testContinuous(self)) {
message(.distr6$message_numeric)
pdf <- pracma::fderiv(self$cdf, x)
}
if (log) {
pdf <- log(pdf)
}
return(pdf)
},
.cdf = function(x, lower.tail = TRUE, log.p = FALSE) {
message(.distr6$message_numeric)
if (testDiscrete(self)) {
grid_x <- impute_genx(self, private$n_grid)
cdf <- C_NumericCdf_Discrete(
q = x,
x = grid_x,
pdf = self$pdf(grid_x),
lower = lower.tail,
logp = log.p
)
} else {
cdf <- numeric(length(x))
for (i in seq_along(x)) {
cdf[i] <- integrate(self$pdf, self$properties$support$lower, x[i])$value
}
}
return(cdf)
},
.quantile = function(p, lower.tail = TRUE, log.p = FALSE) {
message(.distr6$message_numeric)
data <- p
if (testContinuous(self)) {
x <- self$workingSupport()
lower <- x$lower
upper <- x$upper
quantile <- numeric(length(data))
for (i in seq_along(data)) {
quantile[i] <- suppressMessages(GoFKernel::inverse(self$cdf,
lower = lower, upper = upper
)(data[i]))
}
} else {
x <- impute_genx(self, private$n_grid)
if (isCdf(self) == 1L) {
quantile <- suppressMessages(C_NumericQuantile(data, x, self$cdf(x), lower.tail, log.p))
} else {
cdf <- suppressMessages(C_NumericCdf_Discrete(x, x, self$pdf(x),
lower = TRUE,
logp = FALSE
))
quantile <- C_NumericQuantile(data, x, cdf, lower.tail, log.p)
}
}
return(quantile)
},
.rand = function(n) {
message(.distr6$message_numeric)
if (isQuantile(self) == 1L) {
return(self$quantile(runif(n)))
} else if (isPdf(self) == 1L) {
x <- impute_genx(self, private$n_grid)
return(sample(x, n, TRUE, self$pdf(x)))
} else {
return(self$quantile(runif(n)))
}
}
)
)
.distr6$decorators <- append(.distr6$decorators, list(FunctionImputation = FunctionImputation)) |
delta.error.loop <- function(g) {
if (g$method=="harmonic2") {
z <- g$fit[[1]]
rss <- sum(z$residuals^2)
p <- z$rank
p1 <- 1L:p
resvar1 <- rss/z$df.residual
R1 <- chol2inv(z$qr$qr[p1, p1, drop = FALSE])
se1 <- sqrt(diag(R1) * resvar1)
z2 <- g$fit[[2]]
rss <- sum(z2$residuals^2)
p <- z2$rank
p1 <- 1L:p
resvar2 <- rss/z2$df.residual
R2 <- chol2inv(z2$qr$qr[p1, p1, drop = FALSE])
se2 <- sqrt(diag(R2) * resvar2)
cov.Ta<- R1*resvar1
cov.Tb<- R2*resvar2
cov.matrix <- cbind(rbind(cov.Ta,matrix(0,3,3)),rbind(matrix(0,3,3),cov.Tb))
b.xSE<-deltamethod(~sqrt(x2^2+x3^2),c(z$coefficients,z2$coefficients), cov.matrix)
phase.angleSE<-deltamethod(~atan(x3/x2),c(z$coefficients,z2$coefficients), cov.matrix)
if (g$values["n"]==1) splitSE <- deltamethod(~atan(x6/sqrt(x2^2+x3^2)),c(z$coefficients,z2$coefficients), cov.matrix)*180/pi
else splitSE <- NA
hysteresis.ySE <- deltamethod(~x5/x6,c(z$coefficients,z2$coefficients), cov.matrix)
m <- g$values["m"]
form <- sprintf("~1/sqrt(1+(x6/x5)^(2/%f))",m)
hysteresis.xSE<-deltamethod(as.formula(form),c(z$coefficients,z2$coefficients), cov.matrix)
coercionform <- sprintf("~sqrt(x2^2+x3^2)/sqrt(1+(x6/x5)^(2/%f))",m)
coercionSE<-deltamethod(as.formula(coercionform),c(z$coefficients,z2$coefficients), cov.matrix)
lagSE <- deltamethod(~atan(x5/x6),c(z$coefficients,z2$coefficients), cov.matrix)*g$period/(2*pi)
leftpart <- (0.5/(beta((m + 3)/2, (m + 3)/2) * (m + 2)) + 1/beta((m +
1)/2, (m + 1)/2) - 1/beta((m + 3)/2, (m - 1)/2))/(2^m) * pi
form <- sprintf("~%f * x5* atan(x3/x2)",leftpart)
areaSE <- deltamethod(as.formula(form),c(z$coefficients,z2$coefficients), cov.matrix)
SEs<- list("n"=NA,"m"=NA,"b.x"=b.xSE,"b.y"=se2[3],"phase.angle"=phase.angleSE,
"cx"=se1[1],"cy"=se2[1],"retention"=se2[2],"coercion"=coercionSE,"area"=areaSE,"lag"=lagSE, "split.angle"=splitSE,"hysteresis.x"=hysteresis.xSE,"hysteresis.y"=hysteresis.ySE)
}
else {
n <- length(g$x)
coefs <- g$fit$par[(n+1):(n+7)]
vmat <- (as.vector(2*crossprod(g$residuals)/(n-7))*solve(g$fit$hessian))
vmat2 <- vmat[(n+1):(n+7),(n+1):(n+7)]
SEm <- deltamethod(~exp(x5),coefs,vmat2)
SEn <- deltamethod(~exp(x6),coefs,vmat2)
coercionSE <- deltamethod(~x3/sqrt(1+(x4/x7)^(2/x5)),coefs,vmat2)
hysteresis.xSE <- deltamethod(~1/sqrt(1+(x4/x7)^(2/x5)),coefs,vmat2)
areaSE <- NA
splitSE <- NA
hysteresis.ySE <- deltamethod(~x7/x4,coefs,vmat2)
lagSE <- deltamethod(~atan(x7/x4),coefs,vmat2)*g$period/(pi*2)
SEs<- list("n"=SEn,"m"=SEm,"b.x"=sqrt(vmat2[3,3]),"b.y"=sqrt(vmat2[4,4]),"phase.angle"=sqrt(vmat[1,1]),
"cx"=sqrt(vmat2[1,1]),"cy"=sqrt(vmat2[2,2]),"retention"=sqrt(vmat2[7,7]),
"coercion"=coercionSE,"area"=areaSE,"lag"=lagSE, "split.angle"=splitSE,"hysteresis.x"=hysteresis.xSE,"hysteresis.y"=hysteresis.ySE)
}
SEs
} |
slice <- function(.data, ..., .preserve = FALSE) {
UseMethod("slice")
}
slice.data.frame <- function(.data, ..., .preserve = FALSE) {
loc <- slice_rows(.data, ..., caller_env = caller_env(), error_call = current_env())
dplyr_row_slice(.data, loc, preserve = .preserve)
}
slice_head <- function(.data, ..., n, prop) {
UseMethod("slice_head")
}
slice_head.data.frame <- function(.data, ..., n, prop) {
check_slice_dots(..., n = n, prop = prop)
size <- get_slice_size(n = n, prop = prop)
idx <- function(n) {
to <- size(n)
if (to > n) {
to <- n
}
seq2(1, to)
}
dplyr_local_error_call()
slice(.data, idx(dplyr::n()))
}
slice_tail <- function(.data, ..., n, prop) {
UseMethod("slice_tail")
}
slice_tail.data.frame <- function(.data, ..., n, prop) {
check_slice_dots(..., n = n, prop = prop)
size <- get_slice_size(n = n, prop = prop)
idx <- function(n) {
from <- n - size(n) + 1
if (from < 1L) {
from <- 1L
}
seq2(from, n)
}
dplyr_local_error_call()
slice(.data, idx(dplyr::n()))
}
slice_min <- function(.data, order_by, ..., n, prop, with_ties = TRUE) {
UseMethod("slice_min")
}
slice_min.data.frame <- function(.data, order_by, ..., n, prop, with_ties = TRUE) {
check_required(order_by)
check_slice_dots(..., n = n, prop = prop)
size <- get_slice_size(n = n, prop = prop)
if (with_ties) {
idx <- function(x, n) head(order(x), smaller_ranks(x, size(n)))
} else {
idx <- function(x, n) head(order(x), size(n))
}
dplyr_local_error_call()
slice(.data, local({
order_by <- {{ order_by }}
n <- dplyr::n()
x <- fix_call(vec_assert(order_by, size = n, arg = "order_by"), NULL)
idx(x, n)
}))
}
slice_max <- function(.data, order_by, ..., n, prop, with_ties = TRUE) {
UseMethod("slice_max")
}
slice_max.data.frame <- function(.data, order_by, ..., n, prop, with_ties = TRUE) {
check_required(order_by)
check_slice_dots(..., n = n, prop = prop)
size <- get_slice_size(n = n, prop = prop)
if (with_ties) {
idx <- function(x, n) head(
order(x, decreasing = TRUE), smaller_ranks(desc(x), size(n))
)
} else {
idx <- function(x, n) head(order(x, decreasing = TRUE), size(n))
}
dplyr_local_error_call()
slice(.data, local({
order_by <- {{ order_by }}
n <- dplyr::n()
order_by <- fix_call(vec_assert(order_by, size = n, arg = "order_by"), NULL)
idx(order_by, n)
}))
}
slice_sample <- function(.data, ..., n, prop, weight_by = NULL, replace = FALSE) {
UseMethod("slice_sample")
}
slice_sample.data.frame <- function(.data, ..., n, prop, weight_by = NULL, replace = FALSE) {
check_slice_dots(..., n = n, prop = prop)
size <- get_slice_size(n = n, prop = prop, allow_negative = FALSE)
dplyr_local_error_call()
slice(.data, local({
weight_by <- {{ weight_by }}
n <- dplyr::n()
if (!is.null(weight_by)) {
weight_by <- fix_call(vec_assert(weight_by, size = n, arg = "weight_by"), NULL)
}
sample_int(n, size(n), replace = replace, wt = weight_by)
}))
}
slice_rows <- function(.data, ..., caller_env, error_call = caller_env()) {
error_call <- dplyr_error_call(error_call)
dots <- enquos(...)
if (is_empty(dots)) {
return(TRUE)
}
mask <- DataMask$new(.data, caller_env, "slice", error_call = error_call)
on.exit(mask$forget(), add = TRUE)
chunks <- slice_eval(mask, dots, error_call = error_call)
slice_indices <- slice_combine(chunks, mask = mask, error_call = error_call)
vec_c(!!!slice_indices, .ptype = integer())
}
is_slice_call <- function(error_call) {
is_slice <- TRUE
if (is_environment(error_call) && !identical(error_call$.Generic, "slice")) {
is_slice <- FALSE
}
is_slice
}
slice_eval <- function(mask, dots, error_call = caller_env()) {
index <- 0L
impl <- function(...) {
n <- ...length2()
out <- vector("list", n)
for (i in seq_len(n)) {
index <<- i
out[[i]] <- ...elt2(i)
}
index <<- 0L
fix_call(
vec_c(!!!out),
call = NULL
)
}
withCallingHandlers(
mask$eval_all(quo(impl(!!!dots))),
error = function(cnd) {
if (index && is_slice_call(error_call)) {
local_error_context(dots = dots, .index = index, mask = mask)
header <- cnd_bullet_header("evaluating")
} else {
header <- "Problem while computing indices."
}
bullets <- c(header, i = cnd_bullet_cur_group_label())
abort(bullets, call = error_call, parent = cnd)
}
)
}
slice_combine <- function(chunks, mask, error_call = caller_env()) {
rows <- mask$get_rows()
slice_indices <- new_list(length(rows))
withCallingHandlers(
for (group in seq_along(rows)) {
current_rows <- rows[[group]]
res <- chunks[[group]]
if (is.logical(res) && all(is.na(res))) {
res <- integer()
} else if (is.numeric(res)) {
if (is.matrix(res) && ncol(res) == 1) {
res <- as.vector(res)
}
res <- fix_call(vec_cast(res, integer()), NULL)
} else {
bullets <- c(
glue("Invalid result of type <{vec_ptype_full(res)}>."),
i = "Indices must be positive or negative integers."
)
abort(bullets, call = NULL)
}
if (length(res) == 0L) {
} else if (all(res >= 0, na.rm = TRUE)) {
res <- res[!is.na(res) & res <= length(current_rows) & res > 0]
} else if (all(res <= 0, na.rm = TRUE)) {
res <- setdiff(seq_along(current_rows), -res)
} else {
mask$set_current_group(group)
n_positive <- sum(res >= 0, na.rm = TRUE)
n_negative <- sum(res <= 0, na.rm = TRUE)
bullets <- c(
"Indices must be all positive or all negative.",
i = glue("Got {n_positive} positives, {n_negative} negatives.")
)
abort(bullets, call = NULL)
}
slice_indices[[group]] <- current_rows[res]
}, error = function(cnd) {
mask$set_current_group(group)
bullets <- c(
"Problem while computing indices.",
i = cnd_bullet_cur_group_label()
)
abort(bullets, call = error_call, parent = cnd)
})
slice_indices
}
check_constant <- function(x, name, error_call = caller_env()) {
withCallingHandlers(force(x), error = function(e) {
bullets <- c(
glue("`{name}` must be a constant.")
)
abort(bullets, parent = e, call = error_call)
})
}
check_slice_dots <- function(..., n, prop, error_call = caller_env()) {
if (missing(n) && missing(prop)) {
dots <- enquos(...)
if (length(dots) == 1L && names2(dots)[1] == "") {
slice_call <- error_call$.Generic
bullets <- c(
"`n` must be explicitly named.",
i = glue("Did you mean `{slice_call}(n = {as_label(dots[[1]])})`?")
)
abort(bullets, call = error_call)
}
}
check_dots_empty(call = error_call)
}
check_slice_n_prop <- function(n, prop, error_call = caller_env()) {
if (missing(n) && missing(prop)) {
list(type = "n", n = 1L)
} else if (!missing(n) && missing(prop)) {
n <- check_constant(n, "n", error_call = error_call)
if (!is.numeric(n) || length(n) != 1 || is.na(n)) {
abort("`n` must be a single number.", call = error_call)
}
list(type = "n", n = n)
} else if (!missing(prop) && missing(n)) {
prop <- check_constant(prop, "prop", error_call = error_call)
if (!is.numeric(prop) || length(prop) != 1 || is.na(prop)) {
abort("`prop` must be a single number.", call = error_call)
}
list(type = "prop", prop = prop)
} else {
abort("Must supply `n` or `prop`, but not both.", call = error_call)
}
}
get_slice_size <- function(n, prop, allow_negative = TRUE, error_call = caller_env()) {
slice_input <- check_slice_n_prop(n, prop, error_call = error_call)
if (slice_input$type == "n") {
if (slice_input$n > 0) {
function(n) floor(slice_input$n)
} else if (allow_negative) {
function(n) ceiling(n + slice_input$n)
} else {
abort("`n` must be positive.", call = error_call)
}
} else if (slice_input$type == "prop") {
if (slice_input$prop > 0) {
function(n) floor(slice_input$prop * n)
} else if (allow_negative) {
function(n) ceiling(n + slice_input$prop * n)
} else {
abort("`prop` must be positive.", call = error_call)
}
}
}
sample_int <- function(n, size, replace = FALSE, wt = NULL) {
if (size == 0L) {
integer(0)
} else {
sample.int(n, size, prob = wt, replace = replace)
}
}
smaller_ranks <- function(x, y) {
sum(min_rank(x) <= y, na.rm = TRUE)
} |
"Baz" |
KHQ5D <- function(
scores,
country,
type,
author,
year,
source,
ignore.invalid = FALSE,
weights = NULL,
save.xlsx = FALSE,
filename = NULL,
sheetName = NULL
){
DimensionNames <- c("RL", "PL", "SL", "E", "S")
if (is.numeric(scores) & length(names(scores)) == 5) {
if (!all(DimensionNames %in% names(scores))) {
print(names(scores))
stop("Unable to identify KHQ5D dimensions (RL, PL, SL, E, and S) in data.")
}
} else if (is.data.frame(scores) & length(names(scores)) == 5) {
if (!all(DimensionNames %in% names(scores))) {
print(names(scores))
stop("Unable to identify KHQ5D dimensions (RL, PL, SL, E, and S) in data.")
}
}
if (length(as.data.frame(scores)) == 1 & length(names(scores)) != 5) {
scores <- data.frame(score = scores)
colnames(scores) <- "score"
scores <- strsplit(as.character(scores$score), "")
if (!all(lengths(scores) == 5)) {
digitMissing <- data.frame(digitMissing = lengths(scores) != 5, numDigit = lengths(scores))
digitMissing$rowDigitMissing <- rownames(digitMissing)
print(digitMissing[digitMissing[,1] == "TRUE", 2:3])
stop("Unable to identify the five digit format in the data.")
}
scores <- do.call(rbind, scores) %>% data.frame()
colnames(scores) <- DimensionNames
} else if (is.numeric(scores)) {
scores <- as.data.frame(matrix(scores, ncol = 5))
colnames(scores) <- DimensionNames
}
if (ignore.invalid == FALSE & any(is.na(scores) == TRUE)){
rowNAs = which(is.na(scores) == TRUE, arr.ind = TRUE) %>% data.frame()
print(scores[unique(rowNAs$row),])
stop("Missing/non-numeric dimension found. In case the response was randomly lost, consider use ignore.invalid == TRUE to avoid further problems.")
}
if (any(apply(scores, 1, function(x) !all(x %in% c(NA,1:4))) == TRUE)) {
rowCodedWrong <- data.frame(rowCodedWrong = apply(scores, 1, function(x) !all(x %in% c(NA,1:4))))
rowCodedWrong <- data.frame(rowCodedWrong = rowCodedWrong, numRowCodeWrong = rownames(rowCodedWrong))
print(scores[rowCodedWrong[rowCodedWrong[,1] == "TRUE", 2],])
stop("Scores must be coded as 1, 2, 3 or 4 for KHQ5D.")
}
Utility_Index_data <- KHQ::Utility_Index_data
if (!any(country == unique(colnames(Utility_Index_data)[-1]))) {
print(data.frame(Country = unique(unique(colnames(Utility_Index_data)[-1]))))
stop("Country must be one of the above.")
}
Utility_Index_data <- Utility_Index_data[, c(1, grep(pattern = paste0("^", country), colnames(Utility_Index_data)))]
info_data <- Utility_Index_data[(which(Utility_Index_data$Variables == "Year" |
Utility_Index_data$Variables == "Author" |
Utility_Index_data$Variables == "Type" |
Utility_Index_data$Variables == "Source")), ]
collist <- colnames(info_data)
select_score <- apply(info_data[,collist], 2, function(x) all(x %in% c(year, author, type, source)))
if (select_score[-1] == FALSE) {
colnames(info_data) <- NULL
rownames(info_data) <- NULL
print(info_data)
stop("\n Information set type not recognized.\n Year, Author, Type, and Source must be one of the above.")
}
Utility_Index_data <- data.frame(Variables = Utility_Index_data$Variables, data_country = Utility_Index_data[,select_score])
df_Sco_Uti_Ind <- Utility_Index_data[-(which(Utility_Index_data$Variables == "Year" |
Utility_Index_data$Variables == "Author" |
Utility_Index_data$Variables == "Type" |
Utility_Index_data$Variables == "Source" |
Utility_Index_data$Variables == "Health state")), ]
df_Sco_Uti_Ind$data_country <- as.numeric(df_Sco_Uti_Ind$data_country)
df_Sco_Uti_Ind <- data.frame(RL = c(0, df_Sco_Uti_Ind[2:4,2]),
PL = c(0, df_Sco_Uti_Ind[5:7,2]),
SL = c(0, df_Sco_Uti_Ind[8:10,2]),
E = c(0, df_Sco_Uti_Ind[11:13,2]),
S = c(0, df_Sco_Uti_Ind[14:16,2]))
df_weight <- data.frame(matrix(0, nrow = nrow(scores), ncol = ncol(scores)))
colnames(df_weight) <- DimensionNames
for (i in 1:nrow(scores)) {
if (is.na(scores[i,1])) {
df_weight[i,1] <- NA
} else {
df_weight[i,1] <- df_Sco_Uti_Ind[scores[i,1],1]
}
if (is.na(scores[i,2])) {
df_weight[i,2] <- NA
} else {
df_weight[i,2] <- df_Sco_Uti_Ind[scores[i,2],2]
}
if (is.na(scores[i,3])) {
df_weight[i,3] <- NA
} else {
df_weight[i,3] <- df_Sco_Uti_Ind[scores[i,3],3]
}
if (is.na(scores[i,4])) {
df_weight[i,4] <- NA
} else {
df_weight[i,4] <- df_Sco_Uti_Ind[scores[i,4],4]
}
if (is.na(scores[i,5])) {
df_weight[i,5] <- NA
} else {
df_weight[i,5] <- df_Sco_Uti_Ind[scores[i,5],5]
}
}
FullHealth <- Utility_Index_data[which(Utility_Index_data$Variables == "FullHealth"),2] %>% as.numeric()
df_Uti_Ind <- data.frame(UtilityIndex = 1:nrow(scores))
for (i in 1:nrow(scores)) {
df_Uti_Ind[i,] <- FullHealth - abs(sum(df_weight[i,]))
}
if (!is.null(weights)) {df_Uti_Ind <- cbind(df_weight, df_Uti_Ind)}
if (!is.null(weights) & save.xlsx == TRUE & is.null(filename) & is.null(sheetName)) {
openxlsx::write.xlsx(df_Uti_Ind, file = "Res_KHQ5D_weig_uti_ind.xlsx", sheetName = "Weights_Utility_Index", keepNA = FALSE, na.string = "NA", overwrite = TRUE)
} else if (save.xlsx == TRUE & is.null(filename) & is.null(sheetName)) {
openxlsx::write.xlsx(df_Uti_Ind, file = "Res_KHQ5D_uti_ind.xlsx", sheetName = "Utility_Index", keepNA = FALSE, na.string = "NA", overwrite = TRUE)
} else if (save.xlsx == TRUE) {
openxlsx::write.xlsx(df_Uti_Ind, file = filename, sheetName = sheetName, keepNA = FALSE, na.string = "NA", overwrite = TRUE)
}
return(df_Uti_Ind)
} |
NULL
fixed <- function(xname, method=c("z", "t", "f", "chisq", "anova", "lr", "sa", "kr", "pb")) {
method <- if(missing(method)) "default" else match.arg(method)
test <- switch(method,
default = defaulttest,
z = ztest,
t = ttest,
f = waldftest,
lr = lrtest,
chisq = waldchisqtest,
anova = anovatest,
kr = krtest,
sa = satest,
pb = pbtest
)
descriptionText <- switch(method,
default = "default",
z = "z-test",
t = "t-test",
f = paste0("Type-",getSimrOption("carTestType"), " F-test (package car)"),
lr = "Likelihood ratio",
chisq = paste0("Type-",getSimrOption("carTestType"), " Chi-Square-test (package car)"),
anova = "F-test",
kr = "Kenward Roger (package pbkrtest)",
sa = "Satterthwait (package lmerTest)",
pb = "Parametric bootstrap (package pbkrtest)"
)
description <- fixeddesc(descriptionText, xname)
rval <- function(.) test(., xname)
wrapTest(rval, str_c("for predictor '", removeSquiggle(xname), "'"), description)
}
fixeddesc <- function(text, xname) {
function(fit, sim) {
if(text %in% c("t-test") & inherits(fit,"merMod")){
text <- paste(text,"with",getSimrOption("lmerTestDdf"),
"degrees of freedom (package lmerTest)")
}else if(text %in% c("F-test")){
if(inherits(fit,"merMod")){
text <- paste0("Type-", getSimrOption("lmerTestType")," ", text,
" with ",getSimrOption("lmerTestDdf")," degrees of freedom (package lmerTest)")
}else{
text <- paste("Type-I",text)
}
}
rval <- if(text=="default") defaultdesc(fit, xname) else text
fe <- maybe(fixef)(sim)$value
if(!is.null(fe) && xname %in% names(fe)) {
rval[2] <- sprintf("Effect size for %s is %
}
return(rval)
}
}
defaulttest <- function(fit, xname) {
x <- getData(fit)[[xname]]
if(is.factor(x) || is.character(x)) {
return(lrtest(fit, xname))
}
switch(class(fit)[1],
lm = ttest(fit, xname),
glm = ztest(fit, xname),
lmerMod = krtest(fit, xname),
glmerMod = ztest(fit, xname),
stop(str_c("No default test for ", class(fit)[1]))
)
}
checkInteractions <- function(fit, xname) {
ts <- terms(fit)
order <- attr(ts, "order")
label <- attr(ts, "term.labels")
xname %in% unlist(str_split(label[order > 1], stringr::fixed(":")))
}
defaultdesc <- function(fit, xname) {
if(is.factor(getData(fit)[[xname]])) return("Likelihood ratio")
switch(class(fit)[1],
lm = "t-test",
glm = "z-test",
lmerMod = "Kenward Roger (package pbkrtest)",
glmerMod = "z-test",
"unknown test"
)
}
compare <- function(model, method=c("lr", "pb")) {
method <- match.arg(method)
test <- switch(method,
lr = lrcompare,
pb = pbcompare
)
description <- switch(method,
lr = "Likelihood ratio",
pb = "Parametric bootstrap (package pbkrtest)"
)
rval <- function(fit1) {
fit2 <- update(fit1, formula(model), evaluate=FALSE)
fit2 <- eval(fit2, envir=environment(formula(fit1)))
test(fit1, fit2)
}
description[2] <- str_c("Comparison to ", deparse(formula(model)))
wrapTest(rval, "for model comparison", description)
}
fcompare <- function(model, method=c("lr", "kr", "pb")) {
method <- match.arg(method)
test <- switch(method,
lr = lrcompare,
kr = krcompare,
pb = pbcompare
)
description <- switch(method,
lr = "Likelihood ratio",
kr = "Kenward-Roger (package pbkrtest)",
pb = "Parametric bootstrap (package pbkrtest)"
)
rval <- function(fit1) {
fe.part <- deparse(nobars(formula(model)))
re.part <- do.call(str_c, c(llply(findbars(formula(fit1)), function(.) str_c("(", deparse(.), ")")), sep=" + "))
new.formula <- str_c(fe.part, " + ", re.part)
fit2 <- update(fit1, as.formula(new.formula), evaluate=FALSE)
fit2 <- eval(fit2, envir=environment(formula(fit1)))
test(fit1, fit2)
}
description[2] <- str_c("Comparison to ", deparse(formula(model)), " + [re]")
wrapTest(rval, "for model comparison", description)
}
rcompare <- function(model, method=c("lr", "pb")) {
method <- match.arg(method)
test <- switch(method,
lr = lrcompare,
pb = pbcompare
)
description <- switch(method,
lr = "Likelihood ratio",
pb = "Parametric bootstrap (package pbkrtest)"
)
rval <- function(fit1) {
fe.part <- deparse(nobars(formula(fit1)))
re.part <- laply(findbars(formula(model)), function(.) str_c("(", deparse(.), ")"))
new.formula <- str_c(fe.part, " + ", re.part)
fit2 <- update(fit1, as.formula(new.formula), evaluate=FALSE)
fit2 <- eval(fit2, envir=environment(formula(fit1)))
test(fit1, fit2)
}
description[2] <- str_c("Comparison to [fe] + ", deparse(formula(model)))
wrapTest(rval, "for model comparison", description)
}
random <- function() {
rval <- function(.) exactRLRT(.)$p.value
rval <- wrapTest(rval, "for a single random effect", "Exact restricted LRT (package RLRsim)")
return(rval)
}
wrapTest <- function(test, text="[user defined]", description="[user defined function]") {
if(is.character(text)) {
this.text <- str_c("Power ", text)
text <- function(...) this.text
}
if(is.character(description)) {
this.description <- description
description <- function(...) this.description
}
if(is.null(attr(test, "text"))) attr(test, "text") <- text
if(is.null(attr(test, "description"))) attr(test, "description") <- description
return(test)
}
addSquiggle <- function(x) {
if(inherits(x, "formula")) return(x)
if(inherits(x, "character")) {
return(formula(str_c("~", x)))
}
stop(str_c("Can't interpret a fixed effect name with class ", class(x)[[1]]))
}
removeSquiggle <- function(x) {
if(inherits(x, "character")) return(x)
if(inherits(x, "formula")) {
return(deparse(x[[length(x)]]))
}
stop(str_c("Can't interpret a fixed effect name with class ", class(x)[[1]]))
}
ztest <- function(fit, xname) {
xname <- removeSquiggle(xname)
if(is_lmerTest(fit)) {
a <- lmerTest_summary(fit, ddf="lme4")$coefficients
} else {
a <- summary(fit)$coefficients
}
if(inherits(fit, "lmerMod")) {
rval <- pnorm(abs(a[xname, "t value"]), lower.tail=FALSE)*2
} else {
rval <- a[xname, "Pr(>|z|)"]
}
return(rval)
}
ttest <- function(fit, xname) {
xname <- removeSquiggle(xname)
if(inherits(fit, "merMod")){
if(requireNamespace("lmerTest", quietly=TRUE)) {
a <- lmerTest_summary(fit, ddf=getSimrOption("lmerTestDdf"))$coefficients
} else {
stop("t-tests for lmer models require the lmerTest package")
}
} else {
a <- summary(fit)$coefficients
}
rval <- a[xname, "Pr(>|t|)"]
return(rval)
}
waldftest <- function(fit, xname) {
if(checkInteractions(fit, xname)) warning("Main effect (", xname, ") was tested but there were interactions.")
xname <- removeSquiggle(xname)
if(inherits(fit, "merMod") & !isREML(fit)) {
warning("F test available only for linear mixed model fit by REML: refitting model with REML.")
fit <- update(fit, REML=TRUE)
}
a <- Anova(fit,test.statistic="F", type=getSimrOption("carTestType"))
rval <- a[xname, "Pr(>F)"]
return(rval)
}
waldchisqtest <- function(fit, xname) {
if(checkInteractions(fit, xname)) warning("Main effect (", xname, ") was tested but there were interactions.")
xname <- removeSquiggle(xname)
a <- Anova(fit, test.statistic="Chisq", type=getSimrOption("carTestType"))
rval <- a[xname, "Pr(>Chisq)"]
return(rval)
}
anovatest <- function(fit, xname){
if(checkInteractions(fit, xname)) warning("Main effect (", xname, ") was tested but there were interactions.")
xname <- removeSquiggle(xname)
if(inherits(fit,"merMod")) {
if(is_lmerTest(fit)) {
a <- lmerTest_anova(fit, ddf=getSimrOption("lmerTestDdf"), type=getSimrOption("lmerTestType"))
} else {
if(requireNamespace("lmerTest", quietly=TRUE)) {
a <- lmerTest_anova(fit, ddf=getSimrOption("lmerTestDdf"), type=getSimrOption("lmerTestType"))
} else {
stop("anova-tests for lmer-fitted models require the lmerTest package")
}
}
} else {
a <- anova(fit)
}
rval <- a[xname, "Pr(>F)"]
return(rval)
}
lrtest <- function(fit, xname) {
if(checkInteractions(fit, xname)) warning("Main effect (", xname, ") was tested but there were interactions.")
dropname <- addSquiggle(xname)
xname <- removeSquiggle(xname)
test <- if(inherits(fit, "lm") && family(fit)$family == "gaussian") "F" else "Chisq"
a <- drop1(fit, dropname, test=test)
testname <- grep("Pr\\(", colnames(a), value=TRUE)
rval <- a[xname, testname]
return(rval)
}
drop1test <- function(fit, xname, fun, ...) {
dropname <- addSquiggle(xname)
xname <- removeSquiggle(xname)
a <- drop1(fit, dropname, test="user", sumFun=fun, ...)
rval <- a[xname, "p.value"]
return(rval)
}
krWrap <- function(object, objectDrop, ...) {
krnames <- c("ndf", "ddf", "Fstat", "p.value", "F.scaling")
if(missing(objectDrop)) return(setNames(rep(NA, length(krnames)), krnames))
krtest <- suppressMessages(KRmodcomp(object, objectDrop))
rval <- unlist(krtest$stats[krnames])
return(rval)
}
krtest <- function(fit, xname) {
if(checkInteractions(fit, xname)) warning("Main effect (", xname, ") was tested but there were interactions.")
drop1test(fit, xname, krWrap)
}
pbWrap <- function(object, objectDrop, ...) {
pbnames <- c("stat", "df", "p.value")
if(missing(objectDrop)) return(setNames(rep(NA, length(pbnames)), pbnames))
pbtest <- PBmodcomp(object, objectDrop, nsim=getSimrOption("pbnsim"))
rval <- unlist(pbtest$test["PBtest", pbnames])
return(rval)
}
pbtest <- function(fit, xname) drop1test(fit, xname, pbWrap)
satest <- function(fit, xname) {
xname <- removeSquiggle(xname)
a <- lmerTest_summary(fit, ddf="Satterthwaite")$coefficients
rval <- a[xname, "Pr(>|t|)"]
return(rval)
}
krcompare <- function(model1, model2) {
suppressMessages(KRmodcomp(model1, model2)$stats$p.value)
}
pbcompare <- function(model1, model2) {
PBmodcomp(model1, model2, nsim=getSimrOption("pbnsim"))$test["PBtest", "p.value"]
}
lrcompare <- function(model1, model2) {
suppressMessages(anova(model1, model2, test="Chisq")$Pr[2])
} |
ladfit = function (x, y, intercept = TRUE) {
tolerance = 1e-07
print.it = TRUE
xn = if (is.matrix(x))
dimnames(x)[[2]]
else "X"
x = as.matrix(x)
dx = dim(x)
vars = dx[2]
if (length(xn) == 0)
xn = paste("X", 1:vars, sep = "")
if (intercept) {
vars = vars + 1
xn = c("Intercept", xn)
x = cbind(1, x)
}
obs = dx[1]
if (obs != length(y))
stop("Y and X have different number of observations!")
if (obs <= vars)
stop("Less observations than variables")
storage.mode(y) <- "double"
z <- matrix(0, nrow = obs + 2, ncol = vars + 2)
z[1:obs, 1:vars] <- x
storage.mode(z) <- "double"
fit <- .Fortran("l1", n = as.integer(obs), p = as.integer(vars),
n2 = as.integer(obs + 2), p2 = as.integer(vars + 2),
z = z, y = y, tol = as.double(tolerance), cf = double(vars),
resid = double(obs), work = integer(obs))
minimum <- fit$z[obs + 1, vars + 1]
rank = fit$z[obs + 1, vars + 2]
info = fit$z[obs + 2, vars + 1]
numIter = fit$z[obs + 2, vars + 2]
fitted = drop(x %*% fit$cf)
msg = character(0)
if (info == 0) {
msg = "Non-unique solution possible!"
if (print.it)
warning(msg)
}
else if (info != 1)
stop("Premature termination!!")
if (rank != vars) {
msg = c(msg, paste("Matrix not of full rank, apparent rank",
rank))
if (print.it)
warning(msg[length(msg)])
}
out = list(coefficients = fit$cf, minimum = minimum, fitted.values = fitted,
residuals = fit$resid, rank = rank, numIter = numIter,
info = info)
names(out$coefficients) <- xn
if (length(msg))
out$message = list(msg)
out
} |
hclust.grouping <- function(current.peaks, min.samp.grp = 1, max.dupli.prop = 0.25, maxClust = 10, linkage = "average") {
if (nrow(current.peaks) <= 1) {
regrouped.peaks <- current.peaks
} else {
if (nrow(current.peaks) < maxClust) {
maxClust <- nrow(current.peaks) - 1
}
dissE <- cluster::daisy(matrix(c(current.peaks$peakPPM), ncol = 1), metric = "euclid", stand = TRUE, warnType = FALSE)
fit <- stats::hclust(dissE, method = linkage)
duplicates <- numeric(maxClust)
duplicates[1] <- sum(duplicated(current.peaks$Sample))
groupassignment <- matrix(NA, ncol = maxClust + 1, nrow = length(current.peaks$Sample))
grpcounter <- 1
if (sum(duplicated(current.peaks$Sample))/length(current.peaks$Sample) < max.dupli.prop) {
groupassignment[, 1] <- grpcounter
grpcounter <- grpcounter + 1
}
for (k in 2:maxClust) {
groups <- stats::cutree(fit, k)
dup.sub.prop <- numeric(k)
sub.size <- numeric(k)
for (kk in 1:k) {
dup.sub.prop[kk] <- sum(duplicated(current.peaks$Sample[groups == kk]))/length(current.peaks$Sample[groups ==
kk])
sub.size[kk] <- length(current.peaks$Sample[groups == kk])
if (dup.sub.prop[kk] <= max.dupli.prop & sub.size[kk] >= min.samp.grp) {
groupassignment[groups == kk, k] <- grpcounter
grpcounter <- grpcounter + 1
}
}
duplicates[k] <- mean(dup.sub.prop)
}
for (s in seq_along(current.peaks$Sample)) {
groupassignment[s, maxClust + 1] <- suppressWarnings(min(groupassignment[s, 1:maxClust],
na.rm = TRUE))
}
group <- rep(0, length(current.peaks$Sample))
grps <- unique(groupassignment[, maxClust + 1])
grps <- grps[!is.infinite(grps)]
if (length(grps) > 0) {
for (cl in seq_along(grps)) {
group[groupassignment[, maxClust + 1] == grps[cl]] <- cl
}
ngrps <- max(group)
starts <- numeric(ngrps)
stops <- numeric(ngrps)
for (g in 1:ngrps) {
starts[g] <- min(current.peaks$peakPPM[group == g])
stops[g] <- max(current.peaks$peakPPM[group == g])
}
for (gg in 1:ngrps) {
if (any(duplicated(current.peaks$Sample[group == gg]))) {
duplicated.samples <- unique(current.peaks$Sample[group == gg][duplicated(current.peaks$Sample[group ==
gg])])
group.meanppm <- mean(current.peaks$peakPPM[group == gg][!current.peaks$Sample[group ==
gg] %in% duplicated.samples])
group.meanSNR <- mean(current.peaks$peakSNR[group == gg][!current.peaks$Sample[group ==
gg] %in% duplicated.samples])
for (ds in seq_along(duplicated.samples)) {
dat.mat <- matrix(c(group.meanppm, current.peaks$peakPPM[group == gg & current.peaks$Sample ==
duplicated.samples[ds]], group.meanSNR, current.peaks$peakSNR[group == gg & current.peaks$Sample ==
duplicated.samples[ds]]), ncol = 2, byrow = F)
nduplis <- nrow(dat.mat) - 1
peak.to.keep <- which.min(cluster::daisy(dat.mat, metric = "gower", stand = FALSE)[1:nduplis])
to.remove <- seq(1, nduplis)
to.remove <- to.remove[-peak.to.keep]
group[group == gg & current.peaks$Sample == duplicated.samples[ds]][to.remove] <- rep(0,
length(to.remove))
}
}
}
group.order <- order(starts)
stops <- stops[group.order]
starts <- starts[group.order]
if (any((starts[2:ngrps] - stops[1:ngrps - 1]) < 0)) {
overlapping.groups <- which((starts[2:ngrps] - stops[1:ngrps - 1]) < 0)
all.overlapping.groups <- matrix(c(overlapping.groups, overlapping.groups + 1), ncol = 2)
for (jj in seq(from = nrow(all.overlapping.groups), to = 1, by = -1)) {
group[group == all.overlapping.groups[jj, 2]] <- all.overlapping.groups[jj, 1]
}
ngrps <- ngrps - nrow(all.overlapping.groups)
if (any(!(seq(1, ngrps) %in% group))) {
curr.grps <- sort(unique(group[group > 0]))
for (gg in seq_along(curr.grps)) {
group[group == curr.grps[gg]] <- gg
}
}
}
regrouped.peaks <- current.peaks[group > 0, , drop = FALSE]
group <- group[group > 0, drop = FALSE]
if (nrow(regrouped.peaks) > 0) {
for (g in 1:max(group)) {
theoretical.centerIndex <- round(as.numeric(stats::kmeans(regrouped.peaks$peakIndex[group ==
g], centers = 1)[2]))
regrouped.peaks$peakIndex[group == g] <- theoretical.centerIndex
}
regrouped.peaks <- regrouped.peaks[order(regrouped.peaks$peakIndex), ]
}
} else {
regrouped.peaks <- matrix(NA, ncol = 6, nrow = 0)
}
}
return(regrouped.peaks)
} |
bn.boot = function(data, statistic, R = 200, m = nrow(data), algorithm,
algorithm.args = list(), statistic.args = list(), cluster, debug = FALSE) {
check.data(data)
R = check.replicates(R)
m = check.bootsize(m, data)
check.logical(debug)
check.learning.algorithm(algorithm)
algorithm.args = check.learning.algorithm.args(algorithm.args)
statistic = match.fun(statistic)
if (isTRUE(all.equal(statistic, base::I)))
statistic = function(x) x
if (!is.list(statistic.args))
statistic.args = as.list(statistic.args)
cluster = check.cluster(cluster)
if (!is.null(cluster)) {
if (debug) {
warning("disabling debugging output for parallel computing.")
debug = FALSE
}
}
bootstrap.backend(data = data, statistic = statistic, R = R, m = m,
algorithm = algorithm, algorithm.args = algorithm.args,
statistic.args = statistic.args, cluster = cluster, debug = debug)
}
boot.strength = function(data, cluster, R = 200, m = nrow(data), algorithm,
algorithm.args = list(), cpdag = TRUE, debug = FALSE) {
data.info = check.data(data)
nodes = names(data)
R = check.replicates(R)
m = check.bootsize(m, data)
check.logical(debug)
check.logical(cpdag)
check.learning.algorithm(algorithm)
algorithm.args = check.learning.algorithm.args(algorithm.args)
cluster = check.cluster(cluster)
if (!is.null(cluster)) {
slaves.setup(cluster)
if (debug) {
warning("disabling debugging output for parallel computing.")
debug = FALSE
}
}
res = arc.strength.boot(data = data, cluster = cluster, R = R, m = m,
algorithm = algorithm, algorithm.args = algorithm.args, arcs = NULL,
cpdag = cpdag, debug = debug)
res = structure(res, nodes = nodes, method = "bootstrap",
threshold = threshold(res), class = c("bn.strength", class(res)))
if (data.info$type == "mixed-cg")
attr(res, "illegal") = list.cg.illegal.arcs(names(data), data)
return(res)
}
bn.cv = function(data, bn, loss = NULL, ...,
algorithm.args = list(), loss.args = list(), fit = "mle",
fit.args = list(), method = "k-fold", cluster, debug = FALSE) {
data.info = check.data(data)
nodes = names(data)
method = check.cv.method(method)
extra.args = check.cv.args(method, list(...), data)
check.fitting.method(fit, data)
cluster = check.cluster(cluster)
if (!is.null(cluster)) {
if (debug) {
warning("disabling debugging output for parallel computing.")
debug = FALSE
}
}
if (is.character(bn)) {
check.learning.algorithm(bn)
loss = check.loss(loss, data, bn)
algorithm.args = check.learning.algorithm.args(algorithm.args)
if ((loss %in% c("pred", "pred-exact", "pred-lw")) &&
(is.null(loss.args$target)) && (bn %in% classifiers))
loss.args$target = algorithm.args$training
loss.args = check.loss.args(loss, bn, nodes, data, loss.args)
}
else if (is(bn, "bn")) {
if (!identical(algorithm.args, list()))
warning("no learning algorithm is used, so 'algorithm.args' will be ignored.")
check.bn.vs.data(bn, data)
loss = check.loss(loss, data, bn)
if (!is.dag(arcs = bn$arcs, nodes = nodes)) {
if (!is.null(bn$learning$undirected) && bn$learning$undirected)
warning(deparse(substitute(bn)), " is just a skeleton (no arc directions ",
"have been learned) and trying to extend it is probably wrong.")
bn = cpdag.extension(cpdag.backend(bn, moral = TRUE, wlbl = TRUE))
if (!is.dag(arcs = bn$arcs, nodes = nodes))
stop("the network from the 'bn' argument has no consistent extension.")
}
if (is(bn, "bn.naive"))
check.bn.naive(bn)
loss.args = check.loss.args(loss, bn, nodes, data, loss.args)
}
else {
stop("'bn' must be either the label of a learning algorithm or a bn object.")
}
actual.runs = ifelse(is.null(extra.args$runs), 1, extra.args$runs)
result = structure(vector(actual.runs, mode = "list"), class = "bn.kcv.list")
for (r in seq(actual.runs))
result[[r]] = crossvalidation(data = data, bn = bn, loss = loss,
k = extra.args$k, m = extra.args$m,
folds = extra.args$folds[[r]],
algorithm.args = algorithm.args, loss.args = loss.args,
fit = fit, fit.args = fit.args, method = method,
cluster = cluster, data.info = data.info, debug = debug)
if (actual.runs == 1)
return(result[[1]])
else
return(result)
}
loss = function(x) {
if (is(x, "bn.kcv"))
losses = attr(x, "mean")
else if (is(x, "bn.kcv.list"))
losses = sapply(x, function(x) attr(x, "mean"))
else
stop("x must be an object of class 'bn.kcv' or 'bn.kcv.list'.")
return(losses)
} |
PlotEmpiricalOperatingCharacteristics <- function(dataset, trts = 1, rdrs = 1, opChType, legend.position = c(0.8, 0.3), maxDiscrete = 10)
{
if (dataset$descriptions$type == "ROI") stop("No operating characteristics are defined for an ROI dataset")
if (opChType == "ROC"){
if (dataset$descriptions$type == "FROC") ds <- DfFroc2Roc(dataset)
else if (dataset$descriptions$type == "LROC") ds <- DfLroc2Roc(dataset)
else ds <- dataset
} else if ((opChType %in% c("FROC", "AFROC", "wAFROC", "AFROC1", "wAFROC1")) && (dataset$descriptions$type == "FROC")) {
ds <- dataset
} else if ((opChType == "LROC") && (dataset$descriptions$type == "LROC")) {
ds <- dataset
} else {
errMsg <- sprintf("%s is not a valid operating characteristic for this dataset", opChType)
stop(errMsg)
}
ret <- gpfPlotGenericEmpiricalOperatingCharacteristic(ds, trts, rdrs, opChType = opChType, legend.position, maxDiscrete)
return(ret)
} |
prediction.hetglm <-
function(model,
data = find_data(model, parent.frame()),
at = NULL,
type = c("response", "link", "scale"),
calculate_se = FALSE,
...) {
type <- match.arg(type)
data <- data
if (missing(data) || is.null(data)) {
pred <- make_data_frame(fitted = predict(model, type = type, ...))
} else {
if (is.null(at)) {
out <- data
} else {
out <- build_datalist(data, at = at, as.data.frame = TRUE)
at_specification <- attr(out, "at_specification")
}
tmp <- predict(model,
newdata = out,
type = type,
...)
pred <- make_data_frame(out, fitted = tmp, se.fitted = rep(NA_real_, length(tmp)))
}
vc <- NA_real_
structure(pred,
class = c("prediction", "data.frame"),
at = if (is.null(at)) at else at_specification,
type = type,
call = if ("call" %in% names(model)) model[["call"]] else NULL,
model_class = class(model),
row.names = seq_len(nrow(pred)),
vcov = vc,
jacobian = NULL,
weighted = FALSE)
} |
print.fmanovatrp = function(x, ...){
cat("\n", "FMANOVA - Tests based on Random Projections", "\n")
iik = 0
for(ik in x$k){
iik = iik + 1
cat("\n", "Number of random projections k =", ik, "\n")
cat("p-value Wilks =", (x$pvalues)[1, iik], "\n")
cat("p-value Lawley-Hotelling =", (x$pvalues)[2, iik], "\n")
cat("p-value Pillai =", (x$pvalues)[3, iik], "\n")
cat("p-value Roy =", (x$pvalues)[4, iik], "\n")
}
} |
library(testthat)
library(callr)
if (Sys.getenv("NOT_CRAN", "") == "true") test_check("callr") |
freeVariables = undefinedVariables =
function(sc, info = as(sc, "ScriptInfo"))
{
pos = seq(from = 1, to = length(info))
outputs = lapply(info[ - length(pos) ], function(x) x@outputs)
ans = character()
defs = character()
for(i in pos) {
el = info[[i]]
ans = c(ans, setdiff(el@inputs, defs))
defs = c(defs, el@outputs)
}
ans
}
unusedVariables =
function(sc, info = as(sc, "ScriptInfo"))
{
pos = seq(from = 1, to = length(info) - 1L)
inputs = lapply(info[pos + 1], function(x) x@inputs)
ans = character()
for(i in pos) {
el = info[[i]]
ans = c(ans, setdiff(el@outputs, unlist(inputs)[i:length(pos)]))
}
ans
} |
tabItem(tabName = "hedging",
fluidRow(
column(12,
h3("Here you can manage the risk of a portfolio composed of options and the underlying asset.",class = "hTitle"),
h4("The evolution of the underlying asset is simulated by the models you estimated in the Modeling section.", br(),
"After performing the simulation, click on the Show P&L button in the Profit&Loss tab and customize your portfolio.",br(),
"The Profit&Loss distribution of your portfolio will be displayed (it includes transaction costs that you can customize)."),
hr(class = "hrHeader")
)
),
fluidRow(column(12,bsAlert("hedging_alert"))),
tabsetPanel(id = "panel_hedging", type = "tabs",
tabPanel(title = "Start simulations",
fluidRow(column(12, br(),
h4("Click on the model in order to simulate the evolution of the underlying asset"),
DT::dataTableOutput("hedging_databaseModels")
)
),
br(),
fluidRow(column(12,div(align="center",
br(),
fluidRow(
column(3,selectInput("hedging_type", label="Option Type:", c(Call="call", Put="put"))),
column(3,uiOutput("hedging_strike")),
column(3,dateInput("hedging_maturity", label="Maturity:", value = Sys.Date()+30)),
column(3,numericInput("hedging_optMarketPrice", label="Option Market Price:", value=NA, min = 0))
),
fluidRow(
column(3),
column(3,uiOutput("hedging_assMarketPrice")),
column(3,numericInput("hedging_lotMult", label="Number of Options per Lot:", value=1, min = 1)),
column(3)
),
fluidRow(
column(4),
column(4,numericInput("hedging_nSim", label="Number of Simulations", value=1000, min = 1)),
column(4)
),
fluidRow(
column(4),
column(4, actionButton("hedging_button_startComputation", label = "Start Computation", width = "50%"))
)
)))
),
tabPanel(title = "Profit&Loss",
bsModal(id="hedging_commissionPlan", trigger = "hedging_button_show", title = "Profit & Loss", size = "large",
div(id="hedging_body",align="center",
fluidRow(
column(3),
column(6, uiOutput("hedging_modal_id")),
column(3, uiOutput("hedging_modal_id_hidden"))
),
fluidRow(
column(3),
column(3,uiOutput("hedging_nOptLot_hedge")),
column(3,uiOutput("hedging_nAss_hedge"))
),
fluidRow(
column(9, plotOutput("hedging_plot_distribution")),
column(3,
sliderInput("hedging_slider_nBin", label = "Adjust bin width", min=1, max=100, value = 30, step = 1, ticks = FALSE),
br(),
sliderInput("hedging_slider_rangeHist", label = "Quantiles (%)", min = 0, max = 100, value = c(5,95), ticks = FALSE, step = 0.01),
uiOutput("hedging_quantiles_text"),
br(),br(),
uiOutput("hedging_capital_text"),
br(),br(),
actionButton("hedging_button_saveHedging", "Save Changes", width = "80%")
)
),
br(),
box(title = p("Modify Option", style="color:black; font-weight: bold;"),collapsible = TRUE, collapsed = FALSE, width = 12,
fluidRow(
column(4,uiOutput("hedging_type2")),
column(4,uiOutput("hedging_strike2")),
column(4,uiOutput("hedging_optMarketPrice2"))
)
),
box(title = p("Trading Costs", style="color:black; font-weight: bold;"),collapsible = TRUE, collapsed = FALSE, width = 12,
fluidRow(
column(3,br(),numericInput("hedging_percCostAss", label="Asset: Trading cost (%):", value=0.19, min = 0)),
column(3,br(),numericInput("hedging_minCostAss", label="Asset: Min trading cost:", value=2.95, min = 0)),
column(3,numericInput("hedging_rateShort", label="Asset: Yearly interest rate short position (%):", value=4.95, min = 0)),
column(3,numericInput("hedging_lotCostOpt", label="Option: Trading cost per lot:", value=5.95, min = 0))
)
)
)
),
fluidRow(column(12,br(),
DT::dataTableOutput("hedging_table_results")
)),
br(),
fluidRow(
column(2,actionButton(inputId = "hedging_button_show", label = "Show P&L")),
column(6),
column(2,actionButton(inputId = "hedging_button_delete", label = "Delete")),
column(2,actionButton(inputId = "hedging_button_deleteAll", label = "Delete All"))
)
)
)
) |
"binAC" <-
function(n, y, conf.level=0.95, alternative="two.sided")
{
alpha=1-conf.level
est=y/n
z1s=qnorm(conf.level)
z2s=qnorm(1-alpha/2)
esti1s=(y+(z1s^2)/2)/(n+z1s^2)
esti2s=(y+(z2s^2)/2)/(n+z2s^2)
ni1s=n+z1s^2
ni2s=n+z2s^2
if(alternative=="two.sided"){
CI=c(esti2s-z2s*sqrt(esti2s*(1-esti2s)/(ni2s)),
esti2s+z2s*sqrt(esti2s*(1-esti2s)/(ni2s)) )
}
else{if (alternative=="less"){
CI=c( 0 , esti1s+z1s*sqrt(esti1s*(1-esti1s)/(ni1s)) )
}
else{if(alternative=="greater"){
CI=c(esti1s-z1s*sqrt(esti1s*(1-esti1s)/(ni1s)), 1 )
}
else {stop("alternative mis-specified")}}}
CI
}
"binBlaker" <-
function (n,y,conf.level=0.95, tolerance=1e-04, alternative="two.sided")
{
acceptbin <- function(y,n,p)
{
p1 = 1-pbinom(y-1, n, p)
p2 = pbinom(y, n, p)
a1 = p1 + pbinom( qbinom(p1,n,p)-1, n, p )
a2 = p2+1-pbinom( qbinom(1-p2,n,p), n, p )
return(min(a1,a2))
}
lower<-0
upper<-1
if(y!=0)
{lower<-qbeta((1-conf.level)/2, y, n-y+1)
{while(acceptbin(y,n,lower+tolerance)<(1-conf.level))
lower=lower+tolerance}
}
if(y!=n)
{upper<-qbeta(1-(1-conf.level)/2, y+1, n-y)
{while(acceptbin(y,n,upper-tolerance)<(1-conf.level))
upper=upper-tolerance}
}
c(lower, upper)
}
"binCP" <-
function(n, y, conf.level=0.95, alternative="two.sided")
{
lower<-0
upper<-1
if(alternative=="two.sided")
{
if(y!=0)
{lower<-qbeta((1-conf.level)/2, y, n-y+1)}
if(y!=n)
{upper<-qbeta(1-(1-conf.level)/2, y+1, n-y)}
}
if(alternative=="less")
{
if(y!=n)
{upper<-qbeta(1-(1-conf.level), y+1, n-y)}
}
if(alternative=="greater")
{
if(y!=0)
{lower<-qbeta((1-conf.level), y, n-y+1)}
}
c(lower,upper)
}
"binCI" <-
function(n, y, conf.level=0.95, alternative="two.sided", method="CP")
{
if(length(n)!=1 || (n<1 | abs(round(n)-n) > 1e-07)){stop("number of groups n must be specified as a single integer > 0")}
if(length(y)!=1 || (y<0 | abs(round(y)-y) > 1e-07)){stop("observed number of positive groups y must be specified as a single integer>0")}
if(y>n) {stop("number of positive tests y can not be greater than number of groups n")}
if( length(conf.level)!=1 || conf.level<0 || conf.level>1){stop("conf.level must be a positive number between 0 and 1, usually 0.95")}
method<-match.arg(method, choices=c("CP","Blaker","AC","Score","Wald","SOC"))
alternative<-match.arg(alternative, choices=c("two.sided","less","greater"))
estimate=y/n
switch(method,
"CP"={conf.int<-binCP(n=n, y=y, conf.level=conf.level, alternative=alternative)},
"Blaker"={
if(alternative=="less" || alternative=="greater"){
warning("The Blaker CI is inherently two-sided.")
conf.int<-c(NA, NA)
}
if(alternative=="two.sided")
{conf.int<-binBlaker(n=n, y=y, conf.level=conf.level)}
},
"Score"={conf.int<-binWilson(n=n, y=y, conf.level=conf.level, alternative=alternative)},
"AC"={conf.int<-binAC(n=n, y=y, conf.level=conf.level, alternative=alternative)},
"Wald"={conf.int<-binWald(n=n, y=y, conf.level=conf.level, alternative=alternative)},
"SOC"={conf.int<-binSOC(n=n, y=y, conf.level=conf.level, alternative=alternative)}
)
out<-list(conf.int=conf.int,
estimate=estimate,
method=method,
conf.level=conf.level,
alternative=alternative)
class(out)<-"binCI"
out
}
"binSOC" <-
function(n,y,conf.level=0.95,alternative="two.sided")
{
esti<-y/n
kappa<-qnorm(conf.level)
eta<-(kappa^2)/3 + 1/6
gamma1<-((13/18)*kappa^2 + 17/18)*(-1)
gamma2<-(kappa^2)/18 + 7/36
midpo<-(y+eta)/(n+2*eta)
if(alternative=="less")
{CI=c( 0 , midpo + kappa * sqrt(esti*(1-esti) + (gamma1*esti*(1-esti) + gamma2)/n)/sqrt(n) )}
if(alternative=="greater")
{CI=c( midpo - kappa*sqrt(esti*(1-esti) + (gamma1*esti*(1-esti) + gamma2)/n)/sqrt(n) , 1)}
if (alternative=="two.sided")
{
kappa<-qnorm(1-(1-conf.level)/2)
eta<-(kappa^2)/3 + 1/6
gamma1<-((13/18)*kappa^2 + 17/18)*(-1)
gamma2<-(kappa^2)/18 + 7/36
CI=c( midpo - kappa*sqrt(esti*(1-esti) + (gamma1*esti*(1-esti) + gamma2)/n)/sqrt(n) ,
midpo + kappa*sqrt(esti*(1-esti) + (gamma1*esti*(1-esti) + gamma2)/n)/sqrt(n) )
}
CI
}
"binWald" <-
function(n, y, conf.level=0.95, alternative="two.sided")
{
alpha=1-conf.level
est=y/n
z1s=qnorm(conf.level)
z2s=qnorm(1-alpha/2)
if(alternative=="two.sided"){
KI=c(est-z2s*sqrt(est*(1-est)/(n)),
est+z2s*sqrt(est*(1-est)/(n)) )
}
else{if (alternative=="less"){
KI=c( 0 , est+z1s*sqrt(est*(1-est)/(n)) )
}
else{if(alternative=="greater"){
KI=c(est-z1s*sqrt(est*(1-est)/(n)), 1 )
}
else {stop("alternative mis-specified")}}}
KI
}
"binWilson" <-
function(n,y,conf.level=0.95,alternative="two.sided") {
alpha=1-conf.level
t=y/n
if(alternative =="two.sided"){
est.int=(y+(qnorm(1-alpha/2)^2)/2)/(n+(qnorm(1-alpha/2))^2)
w.se=((qnorm(1-alpha/2))*sqrt(n*t*(1-t)+(qnorm(1-alpha/2)^2)/4))/(n+qnorm(1-alpha/2)^2)
CI=c( est.int-w.se, est.int+w.se )
}
else{if(alternative=="less"){
est.int=(y+(qnorm(1-alpha)^2)/2)/(n+(qnorm(1-alpha))^2)
w.se=((qnorm(1-alpha))*sqrt(n*t*(1-t)+(qnorm(1-alpha)^2)/4))/(n+qnorm(1-alpha)^2)
CI=c( 0, est.int+w.se )
}
else{if(alternative=="greater"){
est.int=(y+(qnorm(1-alpha)^2)/2)/(n+(qnorm(1-alpha))^2)
w.se=((qnorm(1-alpha))*sqrt(n*t*(1-t)+(qnorm(1-alpha)^2)/4))/(n+qnorm(1-alpha)^2)
CI=c( est.int-w.se , 1 )
}
else{stop("argument alternative misspecified")}}}
CI
} |
.calculateLabelPositions <- function(object, x, y, peakLabels, adj, cex, srt,
maxSteps=100L) {
i <- sort.int(y, index.return=TRUE)$ix
rects <- .textLabelRects(x[i], y[i], peakLabels[i], adj=adj, cex=cex, srt=srt)
for (j in seq_along(x)) {
rects[j, ] <- .testLabelOverlap(object, rects, currentIndex=j,
maxSteps=maxSteps)
}
rects[i, ] <- rects
rects
}
.testLabelOverlap <- function(object, rects, currentIndex, maxSteps) {
r <- pi / 180L * c(90, as.vector(rbind(seq(80L, 40L, by=-10L),
seq(100L, 140L, by=10L))))
testrects <- rbind(matrix(c(object@mass, rep(0L, length(object)),
object@mass, object@intensity), ncol=4L),
rects[seq_len(currentIndex - 1L),
c("x0", "y0", "x1", "y1")])
for (k in 0L:maxSteps) {
s <- k / 4L
cur <- rects[currentIndex, ]
cur[c("y0", "y1", "y")] <- cur[c("y0", "y1", "y")] + s * cur["h"]
for (l in r) {
oldcur <- cur
cur[c("y0", "y1", "y")] <- cur[c("y0", "y1", "y")] +
sin(l) * s * cur["h"]
cur[c("x0", "x1", "x")] <- cur[c("x0", "x1", "x")] +
cos(l) * s * cur["w"]
if (!.overlaps(cur, testrects)) {
return(cur)
}
cur <- oldcur
}
}
rects[currentIndex, ]
}
.textLabelRects <- function(x, y, text, adj=c(0.5, 0L), cex=0.7, srt=0,
offset=c(0.0, 0.2)) {
wh <- .strWH(text, srt=srt, cex=cex)
offset <- t(t(wh) * offset)
m <- matrix(c(x - wh[, "w"] * adj[1L] - offset[, "w"],
y - wh[, "h"] * adj[2L] - offset[, "h"],
x + wh[, "w"] * (1L - adj[1L]) + offset[, "w"],
y + wh[, "h"] * (1L - adj[2L]) + offset[, "h"],
x, y, wh[, "w"], wh[, "h"]),
ncol = 8L, dimnames = list(c(), c("x0", "y0", "x1", "y1",
"x", "y", "w", "h")))
if (srt) {
m[, c("x0", "x1", "y0", "y1")] <-
.rotate(rbind(m[, c("x0", "y0")], m[, c("x1", "y1")]),
center=m[, c("x", "y")], srt=srt)
if (m[1L, "x0"] > m[1L, "x1"]) {
m[, c("x1", "x0")] <- m[, c("x0", "x1")]
}
if (m[1L, "y0"] > m[1L, "y1"]) {
m[, c("y1", "y0")] <- m[, c("y0", "y1")]
}
m[, c("w", "h")] <- m[, c("x1", "y1")] - m[, c("x0", "y0")]
}
m
}
.overlaps <- function(a, b) {
if (is.vector(b)) {
b <- t(b)
}
any(
!((a[1L] >= b[, 3L] | a[3L] <= b[, 1L]) |
(a[2L] >= b[, 4L] | a[4L] <= b[, 2L])))
}
.scaleFactor <- function() {
usr <- par("usr")
pin <- par("pin")
dx <- usr[2L] - usr[1L]
dy <- usr[4L] - usr[3L]
(dy * pin[1L]) / (dx * pin[2L])
}
.rotate <- function(x, center, srt) {
stopifnot(all(dim(x)) == all(dim(center)))
a <- pi * srt / 180L
cosa <- cos(a)
sina <- sin(a)
dx <- x[, 1L] - center[, 1L]
dy <- x[, 2L] - center[, 2L]
x[, 1L] <- center[, 1L] + dx * cosa - dy * sina
x[, 2L] <- center[, 2L] + dx * sina + dy * cosa
x
}
.strWH <- function(text, srt, cex=0.7, scale=.scaleFactor()) {
a <- pi * srt / 180L
scale <- abs(cos(a) + sin(a) * scale)
matrix(c(strwidth(text, cex=cex) * scale,
strheight(text, cex=cex) / scale), ncol = 2L,
dimnames = list(c(), c("w", "h")))
} |
Subsplit <- function (splits, tips, keepAll = FALSE, unique = TRUE) {
if (is.list(splits)) {
lapply(splits, Subsplit, tips = tips, keepAll = keepAll, unique = unique)
} else if (length(splits) == 0) {
ret <- splits
attr(ret, 'nTip') <- length(tips)
attr(ret, 'tip.label') <- if (is.character(tips)) {
tips
} else {
attr(splits, 'tip.label')[tips]
}
ret
} else {
allSplits <- as.Splits(as.logical(splits)[, tips])
ret <- if (keepAll) allSplits else WithoutTrivialSplits(allSplits)
if (unique) unique(ret) else ret
}
}
TrivialSplits <- function (splits, nTip = attr(splits, 'nTip')) {
inSplit <- TipsInSplits(splits)
inSplit < 2L | inSplit > nTip - 2L
}
WithoutTrivialSplits <- function (splits, nTip = attr(splits, 'nTip')) {
splits[[!TrivialSplits(splits, nTip)]]
}
CompatibleSplits <- function (splits, splits2) {
splits <- as.Splits(splits)
nTip <- attr(splits, 'nTip')
splits2 <- as.Splits(splits2, splits)
apply(splits2, 1, function (split)
apply(splits, 1, .CompatibleSplit, split, nTip))
}
.CompatibleSplit <- function (a, b, nTip) {
rawMask <- if (nTip %% 8L) {
as.raw(c(2^(nTip %% 8L) - 1L, rep.int(255L, nTip %/% 8)))
} else {
rep.int(as.raw(255), nTip %/% 8L)
}
.CompatibleRaws(a, b, rawMask)
}
.CompatibleRaws <- function (rawA, rawB, bitmask) {
!any(as.logical(rawA & rawB)) ||
!any(as.logical(rawA & !rawB)) ||
!any(as.logical(!rawA & rawB)) ||
!any(as.logical(!rawA & !rawB & bitmask))
}
SplitMatchProbability <- function (split1, split2) {
if (NTip(split1) != NTip(split2)) stop("Splits pertain to different tips")
split1 <- as.logical(split1)
split2 <- as.logical(as.Splits(split2, split1))
partitions <- c(sum(split1 & split2), sum(split1 & !split2),
sum(!split1 & split2), sum(!split1 & !split2))
split1Size <- .rowSums(partitions, 2, 2)
split2Size <- .colSums(partitions, 2, 2)
A1 <- split1Size[1]
A2 <- split2Size[1]
B2 <- split2Size[2]
n <- sum(partitions)
minA1B2 <- max(0, A1 - A2)
iMax <- min(A1, B2)
minB1A2 <- B2 - iMax
nArrangements <- iMax - minA1B2 + 1L
arrangements <- vapply(minA1B2:iMax,
function (i) c(A1 - i, i, i + A2 - A1, B2 - i),
double(4))
extraTipsInPerfectMatch.A1A2.B1B2 <- sum(arrangements[c(1, 4), nArrangements])
extraTipsInPerfectMatch.A1B2.B1A2 <- sum(arrangements[c(2, 3), 1L])
ranking <- if (extraTipsInPerfectMatch.A1A2.B1B2 >
extraTipsInPerfectMatch.A1B2.B1A2) {
c(seq.int(1L, nArrangements, 2L),
rev(seq.int(2L, nArrangements, 2L)))
} else if (extraTipsInPerfectMatch.A1A2.B1B2 <
extraTipsInPerfectMatch.A1B2.B1A2) {
c(seq.int(2L, nArrangements, 2L),
rev(seq.int(1L, nArrangements, 2L)))
} else {
c(seq.int(1L, nArrangements, 2L),
rev(seq.int(2L, nArrangements, 2L)) - 1)
}
choices <- apply(arrangements, 2, NPartitionPairs)
sum(choices[ranking <= ranking[partitions[3] + 1L - minA1B2]]) / choose(n, A1)
}
LnSplitMatchProbability <- function (split1, split2) {
log(SplitMatchProbability(split1, split2))
}
TipLabels <- function (x, single = TRUE) UseMethod('TipLabels')
TipLabels.matrix <- function (x, single = TRUE) colnames(x)
TipLabels.phylo <- function (x, single = TRUE) x$tip.label
TipLabels.default <- function (x, single = TRUE) attr(x, 'tip.label')
TipLabels.phyDat <- function (x, single = TRUE) names(x)
TipLabels.TreeNumber <- TipLabels.default
TipLabels.Splits <- TipLabels.default
TipLabels.list <- function (x, single = FALSE) {
if (!is.null(attr(x, 'tip.label'))) return (attr(x, 'tip.label'))
xTipLabel <- x$tip.label
if (!is.null(xTipLabel)) {
if (is.list(xTipLabel) && !is.null(xTipLabel$tip.label)) {
return(xTipLabel$tip.label)
} else {
return(xTipLabel)
}
}
.ListLabels(x, single, TipLabels)
}
AllTipLabels <- function (x) UseMethod('AllTipLabels')
AllTipLabels.list <- function (x) {
unique(unlist(lapply(x, TipLabels)))
}
AllTipLabels.multiPhylo <- AllTipLabels.list
AllTipLabels.phylo <- function(x) TipLabels.phylo(x)
AllTipLabels.Splits <- function (x) TipLabels.Splits(x)
AllTipLabels.TreeNumber <- function (x) TipLabels.TreeNumber(x)
AllTipLabels.matrix <- function (x) TipLabels.matrix(x)
.ListLabels <- function (x, single, Func) {
if (length(x)) {
if (single) {
Func(x[[1]])
} else {
ret <- lapply(x, Func)
uniqueRet <- unique(ret)
if (length(uniqueRet) == 1) uniqueRet[[1]] else ret
}
} else {
NULL
}
}
TipLabels.multiPhylo <- function (x, single = FALSE) {
xTipLabel <- x$tip.label
if (!is.null(xTipLabel)) {
if (is.list(xTipLabel) && !is.null(xTipLabel$tip.label)) {
return(xTipLabel$tip.label)
} else {
return(xTipLabel)
}
}
if (single) {
firstEntry <- x[[1]]
if (!is.null(firstEntry$tip.label)) return (firstEntry$tip.label)
} else {
.ListLabels(x, single, TipLabels.phylo)
}
}
TipLabels.character <- function (x, single = TRUE) x
TipLabels.numeric <- function (x, single = TRUE) {
if (length(x) == 1L) {
paste0('t', seq_len(x))}
else {
NextMethod('TipLabels', as.character(x))
}
}
TipLabels.phyDat <- function (x, single = TRUE) names(x)
TipLabels.default <- function (x, single = TRUE) {
if (is.null(names(x))) {
if (any(duplicated(x))) {
NULL
} else {
x
}
} else {
names(x)
}
}
NPartitionPairs <- function (configuration) {
choose(sum(configuration[c(1, 3)]), configuration[1]) *
choose(sum(configuration[c(2, 4)]), configuration[2])
} |
get_laglead <- function(x, ...) {
UseMethod("get_laglead", x)
}
get_laglead.default <- function(x, tz, ll_fun, ...) {
LL_df <- crossing(t = x, tz = tz) %>%
mutate(LL = ll_fun(.data$t, .data$tz) * 1L) %>%
group_by(tz) %>%
mutate(LL = lag(.data$LL, default = 0)) %>%
ungroup()
class(LL_df) <- c("LL_df", class(LL_df))
LL_df
}
get_laglead.data.frame <- function(x, ...) {
time <- attr(x, "breaks")
tz <- attr(x, "tz")
ll_funs <- attr(x, "ll_funs")
LL_df <- map2_dfr(tz, ll_funs,
~get_laglead.default(time, .x, ll_fun = .y), .id = "tz_var")
if (!inherits(LL_df, "LL_df")) {
class(LL_df) <- c("LL_df", class(LL_df))
}
LL_df
}
gg_laglead <- function(x, ...) {
UseMethod("gg_laglead", x)
}
gg_laglead.default <- function(x, tz, ll_fun, ...) {
LL_df <- get_laglead(x, tz, ll_fun = ll_fun)
gg_laglead(LL_df, ...)
}
gg_laglead.LL_df <- function(
x,
high_col = "grey20",
low_col = "whitesmoke",
grid_col = "lightgrey",
...) {
x <- left_join(x, int_info(unique(x$t)), by = c("t" = "tend"))
x <- x %>% filter(!is.na(.data$interval)) %>%
mutate(
tz = factor(.data$tz, levels = sort(unique(.data$tz),
decreasing = FALSE)),
interval = factor(.data$interval, levels = levels(.data$interval)) )
gg_ll <- ggplot(x, aes_string(x = "interval", y = "tz")) +
geom_tile(aes_string(fill = "LL"), colour = grid_col) +
scale_fill_gradient(low = low_col, high = high_col) +
scale_x_discrete(expand = c(0, 0)) +
scale_y_discrete(expand = c(0, 0)) +
ylab(expression(t[z])) + xlab(expression(t))
if (!is.null(x[["tz_var"]])) {
gg_ll <- gg_ll + facet_wrap(~tz_var, scales = "free_y")
}
gg_ll + theme(legend.position = "none")
}
gg_laglead.nested_fdf <- function(x, ...) {
LL_df <- get_laglead(x)
gg_laglead(LL_df, ...)
} |
setConstructorS3("BasePositionNormalization", function(..., model=c("smooth.spline"), df=5) {
model <- match.arg(model)
df <- Arguments$getInteger(df, range=c(1,1e3))
extend(LinearModelProbeSequenceNormalization(...), "BasePositionNormalization",
.model = model,
.df = df
)
})
setMethodS3("getAsteriskTags", "BasePositionNormalization", function(this, collapse=NULL, ...) {
tags <- NextMethod("getAsteriskTags", collapse=NULL)
model <- this$.model
if (model != "smooth.spline") {
tags <- c(tags, model)
}
df <- this$.df
if (df != 5) {
tags <- c(tags, sprintf("df=%d", df))
}
tags <- paste(tags, collapse=collapse)
tags
}, protected=TRUE)
setMethodS3("getParameters", "BasePositionNormalization", function(this, ...) {
params <- NextMethod("getParameters")
params <- c(params, list(
model = this$.model,
df = this$.df
))
params
}, protected=TRUE)
setMethodS3("getDesignMatrix", "BasePositionNormalization", function(this, cells=NULL, ..., force=FALSE, cache=TRUE, verbose=FALSE) {
if (is.null(cells)) {
} else {
}
verbose <- Arguments$getVerbose(verbose)
if (verbose) {
pushState(verbose)
on.exit(popState(verbose))
}
verbose && enter(verbose, "Retrieving design matrix")
verbose && cat(verbose, "Cells:")
verbose && str(verbose, cells)
verbose && enter(verbose, "Getting algorithm parameters")
params <- getParameters(this, expand=FALSE, verbose=less(verbose, 1))
model <- params$model
df <- params$df
verbose && cat(verbose, "Model: ", model)
verbose && cat(verbose, "Degrees of freedom: ", df)
verbose && exit(verbose)
acs <- getAromaCellSequenceFile(this, verbose=less(verbose, 5))
key <- list(
method="getDesignMatrix", class=class(this[1]),
cells=cells,
model=model, df=df,
acs=list(fullname=getFullName(acs))
)
dirs <- c("aroma.affymetrix", getChipType(acs))
if (!force) {
X <- loadCache(key=key, dirs=dirs)
if (!is.null(X)) {
verbose && cat(verbose, "Cached results found.")
verbose && exit(verbose)
return(X)
}
}
verbose && enter(verbose, "Reading probe sequences")
seqs <- readSequenceMatrix(acs, cells=cells, what="raw",
verbose=less(verbose, 5))
acs <- NULL
verbose && cat(verbose, "Probe-sequence matrix:")
verbose && str(verbose, seqs)
verbose && exit(verbose)
verbose && enter(verbose, "Building probe-position design matrix")
verbose && cat(verbose, "Degrees of freedom: ", df)
X <- getProbePositionEffectDesignMatrix(seqs, df=df,
verbose=less(verbose, 5))
seqs <- NULL
gc <- gc()
verbose && print(verbose, gc)
verbose && cat(verbose, "Design matrix:")
verbose && str(verbose, X)
verbose && cat(verbose, "RAM: %s", hsize(object.size(X), digits = 2L, standard = "IEC"))
verbose && exit(verbose)
if (cache) {
saveCache(X, key=key, dirs=dirs)
}
verbose && exit(verbose)
X
}, private=TRUE)
setMethodS3("getSignalTransform", "BasePositionNormalization", function(this, ...) {
params <- getParameters(this, expand=FALSE, ...)
shift <- params$shift
params <- NULL
transform <- function(y, ...) {
y <- y + shift
y <- log2(y)
y
}
transform
}, protected=TRUE) |
drill_show_schemas <- function(drill_con, .progress=interactive()) {
drill_query(drill_con, "SHOW SCHEMAS", .progress = .progress)
}
drill_use <- function(drill_con, schema_name, .progress=interactive()) {
query <- sprintf("USE `%s`", schema_name)
out <- drill_query(drill_con, query, .progress = .progress)
if (("errorMessage" %in% names(out))) message(str(out, 2))
invisible(out)
}
drill_show_files <- function(drill_con, schema_spec, .progress=interactive()) {
query <- sprintf("SHOW FILES IN %s", schema_spec)
drill_query(drill_con, query, uplift=TRUE, .progress = .progress) %>%
dplyr::select(name, isDirectory, permissions, dplyr::everything())
} |
vcovBS.lm <- function(x, cluster = NULL, R = 250, type = "xy", ..., fix = FALSE, use = "pairwise.complete.obs", applyfun = NULL, cores = NULL)
{
cf <- coef(x)
k <- length(cf)
n <- nobs(x)
rval <- matrix(0, nrow = k, ncol = k, dimnames = list(names(cf), names(cf)))
cf <- matrix(rep.int(NA_real_, k * R), ncol = k, dimnames = list(NULL, names(cf)))
if (is.null(cluster)) cluster <- attr(x, "cluster")
if (is.null(cluster)) cluster <- 1L:n
if(inherits(cluster, "formula")) {
cluster_tmp <- if("Formula" %in% loadedNamespaces()) {
suppressWarnings(expand.model.frame(x, cluster, na.expand = FALSE))
} else {
expand.model.frame(x, cluster, na.expand = FALSE)
}
cluster <- model.frame(cluster, cluster_tmp, na.action = na.pass)
} else {
cluster <- as.data.frame(cluster)
}
if((n != NROW(cluster)) && !is.null(x$na.action) && (class(x$na.action) %in% c("exclude", "omit"))) {
cluster <- cluster[-x$na.action, , drop = FALSE]
}
if(NROW(cluster) != n) stop("number of observations in 'cluster' and 'nobs()' do not match")
if(anyNA(cluster)) stop("cannot handle NAs in 'cluster': either refit the model without the NA observations in 'cluster' or impute the NAs")
p <- NCOL(cluster)
if (p > 1L) {
cl <- lapply(1L:p, function(i) combn(1L:p, i, simplify = FALSE))
cl <- unlist(cl, recursive = FALSE)
sign <- sapply(cl, function(i) (-1L)^(length(i) + 1L))
paste_ <- function(...) paste(..., sep = "_")
for (i in (p + 1L):length(cl)) {
cluster <- cbind(cluster, Reduce(paste_, unclass(cluster[, cl[[i]] ])))
}
} else {
cl <- list(1)
sign <- 1
}
if(is.function(type)) {
wild <- type
type <- "user"
} else {
wild <- function(n) NULL
}
type <- match.arg(gsub("wild-", "", tolower(type), fixed = TRUE),
c("xy", "residual", "wild", "webb", "rademacher", "mammen", "norm", "user"))
if(type == "wild") type <- "rademacher"
wild <- switch(type,
"rademacher" = function(n) sample(c(-1, 1), n, replace = TRUE),
"mammen" = function(n) sample(c(-1, 1) * (sqrt(5) + c(-1, 1))/2, n, replace = TRUE,
prob = (sqrt(5) + c(1, -1))/(2 * sqrt(5))),
"norm" = function(n) rnorm(n),
"webb" = function(n) sample(c(-sqrt((3:1)/2), sqrt((1:3)/2)), n, replace = TRUE),
wild
)
y <- if(!is.null(x$y)) {
x$y
} else if(!is.null(x$model)) {
model.response(x$model)
} else {
model.response(model.frame(x))
}
xfit <- if(type == "xy") model.matrix(x) else list(fit = x$fitted.values, res = x$residuals, qr = x$qr)
if(is.null(applyfun)) {
applyfun <- if(is.null(cores)) {
lapply
} else {
if(.Platform$OS.type == "windows") {
cl_cores <- parallel::makeCluster(cores)
on.exit(parallel::stopCluster(cl_cores))
function(X, FUN, ...) parallel::parLapply(cl = cl_cores, X, FUN, ...)
} else {
function(X, FUN, ...) parallel::mclapply(X, FUN, ..., mc.cores = cores)
}
}
}
for (i in 1L:length(cl))
{
cli <- if(type %in% c("xy", "residual")) {
split(seq_along(cluster[[i]]), cluster[[i]])
} else {
factor(cluster[[i]], levels = unique(cluster[[i]]))
}
if(type == "residual" && length(unique(sapply(cli, length))) > 1L) {
warning("residual bootstrap is not well-defined for unbalanced clusters")
}
bootfit <- switch(type,
"xy" = function(j, ...) {
j <- unlist(cli[sample(names(cli), length(cli), replace = TRUE)])
lm.fit(xfit[j, , drop = FALSE], y[j], ...)$coefficients
},
"residual" = function(j, ...) {
j <- unlist(cli[sample(names(cli), length(cli), replace = TRUE)])
qr.coef(xfit$qr, xfit$fit + xfit$res[j])
},
function(j, ...) {
j <- wild(nlevels(cli))
qr.coef(xfit$qr, xfit$fit + xfit$res * j[cli])
}
)
cf <- applyfun(1L:R, bootfit, ...)
cf <- do.call("rbind", cf)
rval <- rval + sign[i] * cov(cf, use = use)
}
if(fix && any((eig <- eigen(rval, symmetric = TRUE))$values < 0)) {
eig$values <- pmax(eig$values, 0)
rval[] <- crossprod(sqrt(eig$values) * t(eig$vectors))
}
return(rval)
}
vcovBS.glm <- function(x, cluster = NULL, R = 250, start = FALSE, ..., fix = FALSE, use = "pairwise.complete.obs", applyfun = NULL, cores = NULL)
{
cf <- coef(x)
if(identical(start, TRUE)) start <- cf
if(identical(start, FALSE)) start <- NULL
k <- length(cf)
n <- nobs(x)
rval <- matrix(0, nrow = k, ncol = k, dimnames = list(names(cf), names(cf)))
cf <- matrix(rep.int(NA_real_, k * R), ncol = k, dimnames = list(NULL, names(cf)))
if (is.null(cluster)) cluster <- attr(x, "cluster")
if (is.null(cluster)) cluster <- 1L:n
if(inherits(cluster, "formula")) {
cluster_tmp <- if("Formula" %in% loadedNamespaces()) {
suppressWarnings(expand.model.frame(x, cluster, na.expand = FALSE))
} else {
expand.model.frame(x, cluster, na.expand = FALSE)
}
cluster <- model.frame(cluster, cluster_tmp, na.action = na.pass)
} else {
cluster <- as.data.frame(cluster)
}
if((n != NROW(cluster)) && !is.null(x$na.action) && (class(x$na.action) %in% c("exclude", "omit"))) {
cluster <- cluster[-x$na.action, , drop = FALSE]
}
if(NROW(cluster) != n) stop("number of observations in 'cluster' and 'nobs()' do not match")
if(anyNA(cluster)) stop("cannot handle NAs in 'cluster': either refit the model without the NA observations in 'cluster' or impute the NAs")
p <- NCOL(cluster)
if (p > 1L) {
cl <- lapply(1L:p, function(i) combn(1L:p, i, simplify = FALSE))
cl <- unlist(cl, recursive = FALSE)
sign <- sapply(cl, function(i) (-1L)^(length(i) + 1L))
paste_ <- function(...) paste(..., sep = "_")
for (i in (p + 1L):length(cl)) {
cluster <- cbind(cluster, Reduce(paste_, unclass(cluster[, cl[[i]] ])))
}
} else {
cl <- list(1)
sign <- 1
}
y <- if(!is.null(x$y)) {
x$y
} else if(!is.null(x$model)) {
model.response(x$model)
} else {
model.response(model.frame(x))
}
xfit <- model.matrix(x)
if(is.null(applyfun)) {
applyfun <- if(is.null(cores)) {
lapply
} else {
if(.Platform$OS.type == "windows") {
cl_cores <- parallel::makeCluster(cores)
on.exit(parallel::stopCluster(cl_cores))
function(X, FUN, ...) parallel::parLapply(cl = cl_cores, X, FUN, ...)
} else {
function(X, FUN, ...) parallel::mclapply(X, FUN, ..., mc.cores = cores)
}
}
}
for (i in 1L:length(cl))
{
cli <- split(seq_along(cluster[[i]]), cluster[[i]])
bootfit <- function(j, ...) {
j <- unlist(cli[sample(names(cli), length(cli), replace = TRUE)])
glm.fit(xfit[j, , drop = FALSE], y[j], family = x$family, start = start, ...)$coefficients
}
cf <- applyfun(1L:R, bootfit, ...)
cf <- do.call("rbind", cf)
rval <- rval + sign[i] * cov(cf, use = use)
}
if(fix && any((eig <- eigen(rval, symmetric = TRUE))$values < 0)) {
eig$values <- pmax(eig$values, 0)
rval[] <- crossprod(sqrt(eig$values) * t(eig$vectors))
}
return(rval)
} |
util_sixsigma <- function(x) {
xmu <- mean(x, na.rm = TRUE)
xsd <- sd(x, na.rm = TRUE)
lth <- xmu - 3 * xsd
uth <- xmu + 3 * xsd
xbin <- ifelse(x < lth | x > uth, 1, 0)
return(xbin)
} |
setMethod(
f = "getNumberOfStrata",
signature = signature(
object = "CompactStratification"
),
definition = function(object) {
length(unique(object@stratumId))
}
) |
library(utils)
args <- commandArgs(TRUE)
DESCRIPTION <- readLines("DESCRIPTION")
idx <- grep("^Version:", DESCRIPTION)
field <- DESCRIPTION[[idx]]
bumpedDescVersion <- if (!grepl("-", DESCRIPTION[[idx]])) {
paste(field, "-1", sep = "")
} else {
minorVersion <- as.numeric(gsub(".*-", "", DESCRIPTION[[idx]]))
minorVersion <- minorVersion + 1
gsub("-.*", paste("-", minorVersion, sep = ""), DESCRIPTION[[idx]])
}
version <- if (length(args)) {
paste("Version:", args[[1]])
} else {
bumpedDescVersion
}
DESCRIPTION[[idx]] <- version
cat(DESCRIPTION, file = "DESCRIPTION", sep = "\n")
source("R/update.R")
updateInit() |
leecarter.estimate <- function(mx, ax.index = NULL, ax.smooth = FALSE,
bx.postprocess = TRUE, nx = 5) {
if(length(dim(mx)) < 2 || ncol(mx) < 2) stop("mx must be a matrix (age x time) of at least two columns.")
lmx <- log(mx)
if(length(dim(lmx))==0)
lmx <- as.matrix(lmx)
if(is.null(rownames(lmx)))
rownames(lmx) <- if(nx > 1) c(0,1, seq(nx, by=nx, length=nrow(lmx)-2)) else 0:(nrow(lmx)-1)
nest <- ncol(lmx)
if(is.null(ax.index)) ax.index <- 1:nest
ax <- apply(lmx[,ax.index, drop=FALSE], 1, sum, na.rm=TRUE) / length(ax.index)
if(ax.smooth) {
ax.sm <- smooth.spline(ax, df=ceiling(length(ax)/2))$y
ax[-1] <- ax.sm[-1]
}
kt <- apply(lmx, 2, sum) - sum(ax)
bx <- bx.estimate(lmx, ax, kt, postprocess = bx.postprocess)
return(list(ax = ax, bx = bx, kt = kt, nx = nx))
}
bx.estimate <- function(lmx, ax, kt, postprocess=TRUE) {
x2 <- sum(kt*kt)
x1 <- rep(NA, nrow(lmx))
for (i in 1:nrow(lmx))
x1[i] <- sum((lmx[i,]-ax[i])*kt)
bx <- x1/x2
if(postprocess)
bx <- .finish.bx(bx)
names(bx) <- rownames(lmx)
return(bx)
}
.finish.bx <- function(bx) {
negbx <- which(bx <= 0)
lnegbx <- length(negbx)
if(lnegbx > 0 && negbx[1] == 1) {
bx[1] <- 0
negbx <- if(lnegbx > 1) negbx[2:lnegbx] else c()
lnegbx <- length(negbx)
}
while(lnegbx > 0) {
bx[negbx] <- 0.5 * bx[negbx-1]
negbx <- which(bx < 0)
lnegbx <- length(negbx)
}
lbx <- length(bx)
for (i in 1:(lbx-1)) {
if (bx[lbx+1 - i] == 0) bx[lbx+1 - i] <- bx[lbx - i]
}
bx <- bx/sum(bx)
return(bx)
}
lileecarter.estimate <- function(mxM, mxF, nx = 5, ...) {
lc.male <- leecarter.estimate(mxM, nx = nx, ...)
lc.female <- leecarter.estimate(mxF, nx = nx, ...)
if(length(lc.female$ax) != length(lc.male$ax) || length(lc.female$kt) != length(lc.male$kt))
stop("Mismatch in dimensions of male and female mortality. Check the mxM and mxF arguments.")
bx <- (lc.male$bx + lc.female$bx)/2
ages <- as.integer(names(lc.female$bx))
nx <- ages[4] - ages[3]
return(list(bx = bx, ultimate.bx = ultimate.bx(bx), ages = ages, nx = nx,
female=list(ax=lc.female$ax, bx=bx, kt=lc.female$kt, sex.bx = lc.female$bx),
male=list(ax=lc.male$ax, bx=bx, kt=lc.male$kt, sex.bx = lc.male$bx)
))
}
rotate.leecarter <- function(bx, ultimate.bx, e0, e0l = 80, e0u = 102, p = 0.5) {
npred <- length(e0)
wt <- (e0 - e0l)/(e0u-e0l)
wst <- (0.5*(1+(sin(pi/2*(2*wt-1)))))^p
Bxt <- matrix(NA, nrow=length(bx), ncol=npred)
for(t in 1:npred) {
Bxt[,t] <- switch(cut(e0[t], c(0, e0l, e0u, 9999), labels=FALSE, right=FALSE),
bx,
(1-wst[t])*bx + wst[t]*ultimate.bx,
ultimate.bx)
}
dimnames(Bxt) <- list(names(bx), names(e0))
return(Bxt)
}
ultimate.bx <- function(bx) {
bux <- bx
lbx <- length(bx)
idx15 <- which(names(bx) == 15)
idx60 <- which(names(bx) == 60)
bux[1:idx60] <- mean(bux[idx15:idx60])
bux[(idx60+1):lbx] <- bux[(idx60+1):lbx] * (bux[idx60]/bux[idx60+1])
return(bux/sum(bux))
}
.kranges <- function(Bxt, axm, axf) {
lmin <- -12
lmax <- 0
machine.max <- log(.Machine$double.xmax)
machine.min <- log(.Machine$double.xmin)
npred <- ncol(Bxt)
kranges <- list(male=list(), female=list())
ax <- list(male=axm, female=axf)
bx.lim <- rbind(apply(Bxt, 2, function(x) min(x[x>0])),
apply(Bxt, 2, function(x) max(x[x>0])))
for(sex in c("male", "female")) {
kranges[[sex]]$kl <- pmin((lmax - apply(ax[[sex]], 2, max))/bx.lim[2,], machine.max)
kranges[[sex]]$ku <- pmax((lmin - apply(ax[[sex]], 2, min))/bx.lim[1,], machine.min)
}
return(kranges)
}
mortcast <- function (e0m, e0f, lc.pars, rotate = TRUE, keep.lt = FALSE,
constrain.all.ages = FALSE, ...) {
get.a0rule <- function(a0rule = c("ak", "cd"), ...)
list(ak = 1, cd = 2)[[match.arg(a0rule)]]
if(length(dim(e0m)) > 0) e0m <- drop(as.matrix(e0m))
if(length(dim(e0f)) > 0) e0f <- drop(as.matrix(e0f))
e0 <- list(female=e0f, male=e0m)
npred <- length(e0f)
nage <- length(lc.pars$ages)
if(lc.pars$nx > 1) {
resnage <- nage-1
age.groups <- lc.pars$ages[-2]
} else {
resnage <- nage
age.groups <- lc.pars$ages
}
a0cat <- get.a0rule(...)
zeromatsr <- matrix(0, nrow=resnage, ncol=npred)
zeromatmx <- matrix(0, nrow=nage, ncol=npred)
ressex <- list(mx=zeromatmx, lx=zeromatsr, sr=zeromatsr, Lx=zeromatsr)
result <- list(female = ressex, male = ressex)
if(rotate)
Bxt <- rotate.leecarter(lc.pars$bx, lc.pars$ultimate.bx, (e0f + e0m)/2)
else
Bxt <- matrix(lc.pars$bx, nrow=nage, ncol=npred)
for(sex in c("female", "male"))
if(is.null(lc.pars[[sex]]$axt))
lc.pars[[sex]]$axt <- matrix(lc.pars[[sex]]$ax, nrow=nrow(Bxt), ncol=npred)
kranges <- .kranges(Bxt, lc.pars$male$axt, lc.pars$female$axt)
for (sex in c("female", "male")) {
LCres <- .C("LC", as.integer(npred), as.integer(c(female=2, male=1)[sex]), as.integer(nage), as.integer(lc.pars$nx),
as.numeric(lc.pars[[sex]]$axt), as.numeric(Bxt), as.numeric(e0[[sex]]),
Kl=as.numeric(kranges[[sex]]$kl), Ku=as.numeric(kranges[[sex]]$ku),
constrain=as.integer((sex == "male") * ((sex == "male") + (constrain.all.ages == TRUE))),
FMx=as.numeric(result$female$mx), FEop=as.numeric(e0$female), a0rule = as.integer(a0cat),
LLm = as.numeric(result[[sex]]$Lx), Sr=as.numeric(result[[sex]]$sr),
lx=as.numeric(result[[sex]]$lx), Mx=as.numeric(result[[sex]]$mx))
result[[sex]]$mx <- matrix(LCres$Mx, nrow=nage,
dimnames=list(lc.pars$ages, names(e0m)))
result[[sex]]$nx <- lc.pars$nx
if(keep.lt) {
result[[sex]]$sr <- matrix(LCres$Sr, nrow=resnage,
dimnames=list(age.groups, names(e0m)))
result[[sex]]$Lx <- matrix(LCres$LLm, nrow=resnage,
dimnames=list(age.groups, names(e0m)))
result[[sex]]$lx <- matrix(LCres$lx, nrow=resnage,
dimnames=list(age.groups, names(e0m)))
} else {
result[[sex]]$sr <- NULL
result[[sex]]$Lx <- NULL
result[[sex]]$lx <- NULL
}
}
return(result)
} |
setClass('lcMethodStratify', contains = 'lcMethod')
setValidity('lcMethodStratify', function(object) {
assert_that(has_lcMethod_args(object, formalArgs(lcMethodStratify)))
if (isArgDefined(object, 'nClusters')) {
assert_that(is.na(object$nClusters) || is.count(object$nClusters))
}
if (isArgDefined(object, 'clusterNames')) {
assert_that(is.null(object$clusterNames) || is.character(object$clusterNames))
}
if (isArgDefined(object, 'center')) {
assert_that(is.function(object$center))
}
})
lcMethodStratify = function(
response,
stratify,
center = meanNA,
nClusters = NaN,
clusterNames = NULL,
time = getOption('latrend.time'),
id = getOption('latrend.id'),
name = 'stratify'
) {
mc = match.call.all()
mc$Class = 'lcMethodStratify'
do.call(new, as.list(mc))
}
setMethod('getArgumentDefaults', signature('lcMethodStratify'), function(object) {
c(
formals(lcMethodStratify),
callNextMethod()
)
})
setMethod('getName', signature('lcMethodStratify'), function(object) {
if (isArgDefined(object, 'name') && !is.null(object$name)) {
return(object$name)
}
if (isArgDefined(object, 'stratify')) {
expr = object[['stratify', eval = FALSE]]
if (is.name(fun)) {
return(paste('stratification ', expr))
}
}
return('stratify')
})
setMethod('getShortName', signature('lcMethodStratify'), function(object) 'strat')
setMethod('compose', signature('lcMethodStratify'), function(method, envir = NULL, ...) {
evaluate.lcMethod(
method,
try = FALSE,
exclude = 'stratify',
envir = envir
)
})
setMethod('fit', signature('lcMethodStratify'), function(method, data, envir, verbose, ...) {
data = as.data.table(data)
id = idVariable(method)
strat = method[['stratify', eval = FALSE]]
assignments = .stratifyTrajectories(
strat,
data = data,
id = id,
envir = environment(method)
)
if (is.factor(assignments)) {
assert_that(is.na(method$nClusters) || nlevels(assignments) == method$nClusters)
}
intAssignments = as.integer(assignments)
assert_that(is.na(method$nClusters) || max(intAssignments) <= method$nClusters)
if (is.na(method$nClusters)) {
if (is.factor(assignments)) {
numClus = nlevels(assignments)
} else {
numClus = max(intAssignments)
}
} else {
numClus = method$nClusters
}
assert_that(min(intAssignments) >= 1, max(intAssignments) <= numClus)
if (is.null(method$clusterNames)) {
if (is.factor(assignments)) {
clusNames = levels(assignments)
} else {
clusNames = make.clusterNames(numClus)
}
} else {
assert_that(is.character(method$clusterNames))
clusNames = method$clusterNames
}
assert_that(length(clusNames) == numClus)
if (numClus > 1) {
clusterSizes = table(intAssignments)
if (numClus > 1 && uniqueN(intAssignments) == 1) {
warning(
sprintf(
'Stratification assigned all trajectories to the same cluster ("%s").',
clusNames[clusterSizes > 0][1]
)
)
} else if (uniqueN(intAssignments) < numClus) {
warning(
sprintf(
'Cluster(s) "%s" were not assigned any trajectories during stratification.',
paste0(clusNames[clusterSizes == 0], collapse = '", "')
)
)
}
}
.lcModelStratify(
method = method,
data = data,
id = id,
time = timeVariable(method),
center = method$center,
response = responseVariable(method),
clusterNames = clusNames,
trajectoryClusterIndices = intAssignments,
name = method$name
)
})
.stratifyTrajectories = function(strat, data, id, envir = parent.frame()) {
assert_that(
is.data.table(data),
is.call(strat) || is.name(strat)
)
numIds = uniqueN(data[[id]])
if (is.name(strat) || is.call(strat) && strat[[1]] == 'function') {
stratfun = eval(strat, envir = envir)
out = data[, .(Cluster = stratfun(.SD)), by = c(id)]
} else {
out = data[, .(Cluster = eval(strat)), by = c(id)]
}
assert_that(length(out) == 2, msg = 'expected scalar output from the stratification function. got multiple columns as output')
assert_that(is.logical(out[['Cluster']]) || is.numeric(out[['Cluster']]) || is.factor(out[['Cluster']]))
assert_that(nrow(out) == numIds, msg = 'expected scalar output from the stratification function. got multiple values per id')
assert_that(all(is.finite(out[['Cluster']])), msg = 'some ids are assigned to NA')
if (is.logical(out[['Cluster']])) {
out[, Cluster := as.integer(Cluster) + 1L]
}
ids = make.ids(data[[id]])
out[match(ids, get(id)), Cluster]
}
postprobFromAssignments = function(assignments, k) {
assert_that(
is.count(k),
is.integer(assignments),
all(is.finite(assignments)),
min(assignments) >= 1,
max(assignments) <= k
)
postprob = matrix(0, nrow = length(assignments), ncol = k)
idxMat = cbind(seq_along(assignments), assignments)
postprob[idxMat] = 1
return(postprob)
}
meanNA = function(x, ...) {
mean(x, ..., na.rm = TRUE)
}
weighted.meanNA = function(x, w, ...) {
weighted.mean(x, w = w, ..., na.rm = TRUE)
} |
ok <- function(model,
beta = NULL
){
d <- model@d
n <- model@n
X <- model@X
y <- model@y
if(is.null(beta)){
beta <- [email protected]
}
y_centred <- y - beta
T <- model@T
cov_function <- model@covariance
sigma_0_2 <- model@covariance@sd2 + ifelse(model@[email protected], model@covariance@nugget, 0)
sigma_0 <- sqrt(sigma_0_2)
Kinv <- chol2inv(T)
sigma_beta = sqrt(1/sum(Kinv))
xi <- local({
X <- X
Kinv <- Kinv
y_centred <- y_centred
beta <- beta
sigma_0 <- sigma_0
sigma_beta <- sigma_beta
cov_function <- cov_function
function(x){
kn <- DiceKriging::covMat1Mat2(object = cov_function, X1 = X, X2 = t(x), nugget.flag = TRUE)
Kinv_kn <- Kinv %*% kn
mean <- c(t(Kinv_kn) %*% y_centred + beta)
sd_sk_2 <- sigma_0^2 - colSums(kn*Kinv_kn)
if(sum(sd_sk_2<0)>0){
sd_sk_2[sd_sk_2<0] <- 0
}
sd_beta_2 <- sigma_beta^2*(colSums(Kinv_kn) - 1)^2
sd <- sqrt(sd_sk_2 + sd_beta_2)
return(list(mean=mean,sd=sd, kn=kn, Kinv_kn=Kinv_kn))
}
})
updateSd <- local({
Kinv <- Kinv
y_centred <- y_centred
beta <- beta
sigma_0 <- sigma_0
sigma_beta <- sigma_beta
cov_function <- cov_function
function(x, Xnew, xi_x, xi_Xnew){
r <- dim(as.matrix(Xnew))[2]
if(r==1) {
K_rr <- sigma_0^2
} else {
K_rr <- DiceKriging::covMatrix(object = cov_function, X = t(Xnew))$C
}
K_nr <- as.matrix(xi_Xnew$kn)
Kinv_Knr <- as.matrix(xi_Xnew$Kinv_kn)
sd_beta <- (colSums(Kinv_Knr) - 1)
if(r==1){
sd_beta_2 <- sigma_beta^2*sd_beta^2
} else {
sd_beta_2 <- sigma_beta^2*as.matrix(sd_beta)%*%sd_beta
}
Sigma_rr <- K_rr - t(K_nr) %*% Kinv_Knr + sd_beta_2
k_r <- DiceKriging::covMat1Mat2(object = cov_function, X1 = t(Xnew), X2 = t(x), nugget.flag = TRUE)
k_n <- as.matrix(xi_x$kn)
chi_r = k_r - t(Kinv_Knr) %*% k_n + sigma_beta^2*as.matrix(sd_beta)%*%(colSums(xi_x$Kinv_kn) - 1)
if( r==1) {
Sigma_rr_inv = 1/Sigma_rr
} else {
Sigma_rr_inv <- chol2inv(chol(Sigma_rr))
}
if(r==1){
sd_sk_2 <- colSums(chi_r^2)*Sigma_rr_inv
} else {
sd_sk_2 <- colSums(chi_r*(Sigma_rr_inv%*%chi_r))
}
sd <- sqrt(pmax(xi_x$sd^2 - sd_sk_2, 0))
return(sd)
}
})
updateSdfast <- local({
sigma_beta <- sigma_beta
cov_function <- cov_function
function(x, xi_x){
Nsur <- dim(x)[2]
Sigma_r_inv <- matrix(1, nrow = Nsur, ncol = Nsur)/xi_x$sd^2
K_xx <- DiceKriging::covMatrix(object = cov_function, X = t(x))$C
chi_r <- K_xx - t(xi_x$kn) %*% xi_x$Kinv_kn + sigma_beta^2 * (colSums(xi_x$Kinv_kn) - 1) %*% t((colSums(xi_x$Kinv_kn) - 1))
sd_old_2 <- t(matrix(1, nrow = Nsur, ncol = Nsur)*xi_x$sd^2)
sd_nr_2 <- pmax(sd_old_2 - chi_r^2*Sigma_r_inv, 0)
return(sd_nr_2)
}
})
res <- list(Kinv = Kinv,
beta = beta,
y_centred = y_centred,
sigma_beta = sigma_beta,
xi = xi,
updateSd = updateSd,
updateSdfast = updateSdfast
)
class(res) <- 'ok'
return(res)
} |
RegistryToBMR = function(reg, learners, measures, imputeMissing = TRUE) {
res = reduceResultsList(reg, ids = findDone(reg),
fun = function(job, res) {
tsk = res$resample.res$task.id
lrn = res$resample.res$learner.id
dat = res$resample.res
lst = eval(parse(text = paste0("list(", tsk, "= list(", lrn, "= dat))")))
}
)
allLrns = c()
for (i in seq_along(learners)) {
allLrns = c(allLrns, learners[[i]]$id)
}
nLrns = length(unique(allLrns))
r = list()
for (i in seq_along(res)) {
tnm = names(res[[i]])[1]
lnm = names(res[[i]][[tnm]])[1]
r[[tnm]][[lnm]] = res[[i]][[tnm]][[lnm]]
}
newBMR = list(results = r, measures = measures, learners = learners)
class(newBMR) = "BenchmarkResult"
if (!imputeMissing) {
rClean = newBMR$results
for (i in seq_along(r)) {
if (length(r[[i]]) < nLrns) {
print(paste0("Deleting task: ", names(r)[i]))
rClean[[names(r)[i]]] = NULL
}
}
newBMR$results = rClean
}
if (imputeMissing) {
imputeMissingResampRes = function(learner, task) {
load("impute.RData")
imp$learner.id = learner
imp$task.id = task
return(imp)
}
imputeBMR = function(bmr) {
for (i in seq_along(bmr$results)) {
if (length(bmr$results[[i]]) < nLrns) {
missing = setdiff(allLrns, names(bmr$results[[i]]))
for (j in seq_along(missing)) {
imp = imputeMissingResampRes(missing[[j]], names(bmr$results)[i])
eval(parse(text = paste0("bmr$results[[", i, "]][['", missing[[j]], "']] = imp")))
}
}
}
return(bmr)
}
newBMR = imputeBMR(newBMR)
}
return(newBMR)
}
if (FALSE) {
tsk = list(iris.task, sonar.task)
lrns = list(makeLearner("classif.rpart"),
makeLearner("classif.nnet"))
rdesc = makeResampleDesc("CV", iters = 10)
meas = list(mmce, ber, timetrain, timepredict)
bmr = benchmark(lrns, tsk, rdesc, meas)
str(bmr, max.level = 1)
bmr$measures
bmr$learners
str(bmr$results, max.level = 1)
str(bmr$results[[1]], max.level = 1)
res = reduceResultsList(reg, ids = findDone(reg))
for (i in seq_along(res)) {
z = c(z, res[[i]]$resample.res$task.id)
t = c(t, res[[i]]$resample.res$learner.id)
}
length(unique(t))
if (FALSE) {
impute = resample(learner = makeLearner("classif.rpart"), task = iris.task,
resampling = makeResampleDesc("CV", iters = 10),
measures = list(mmce, ber, timetrain, timepredict))
impute$measures.test$mmce = 1L
impute$measures.test$ber = 1L
impute$measures.test$timetrain = 3600L
impute$measures.test$timepredict = 3600L
impute$aggr = c(1L, 1L, 3600L, 3600L)
names(impute$aggr) = c("mmce.test.mean", "ber.test.mean", "timetrain.test.mean", "timepredict.test.mean")
impute$pred = "imputed"
impute$measures.train = data.frame(c("imputed"))
impute$err.msgs = "imputed"
impute$models = "imputed"
impute$runtime = 3600 * 10
imp = impute
save(imp, file = "impute.RData")
}
resample(learner = makeLearner("classif.obliqueRF"),
task = toMlr(getOMLTask(3627))$mlr.task,
measures = mmce,
resampling = makeResampleDesc("CV", iters = 10))
} |
`getDividends` <-
function(Symbol,from='1970-01-01',to=Sys.Date(),env=parent.frame(),src='yahoo',
auto.assign=FALSE,auto.update=FALSE,verbose=FALSE,split.adjust=TRUE,...,
curl.options=list()) {
tmp.symbol <- Symbol
if(missing(env)) {
env <- parent.frame(1)
} else {
if(exists(Symbol, envir = env, inherits = FALSE)) {
tmp.symbol <- get(Symbol, envir = env)
}
if(!missing(auto.assign) && !isTRUE(auto.assign) && !is.null(env)) {
warning("ignoring 'auto.assign = FALSE' because 'env' is specified")
}
auto.assign <- TRUE
}
if(is.null(env))
auto.assign <- FALSE
Symbol.name <- ifelse(!is.character(Symbol),
deparse(substitute(Symbol)),
as.character(Symbol))
from.posix <- .dateToUNIX(from)
to.posix <- .dateToUNIX(to)
handle <- .getHandle()
yahoo.URL <- .yahooURL(Symbol.name, from.posix, to.posix,
"1d", "div", handle)
conn <- curl::curl(yahoo.URL,handle=handle$ch)
fr <- try(read.csv(conn, as.is=TRUE), silent = TRUE)
if (inherits(fr, "try-error")) {
fr <- retry.yahoo(Symbol.name, from.posix, to.posix, "1d", "div", conn)
}
fr <- xts(fr[,2],as.Date(fr[,1]))
colnames(fr) <- paste(Symbol.name,'div',sep='.')
if(src[1] == "yahoo" && split.adjust) {
splits <- getSplits(Symbol.name, from="1900-01-01")
if(is.xts(splits) && is.xts(fr) && nrow(splits) > 0 && nrow(fr) > 0) {
fr <- fr * adjRatios(splits=merge(splits, index(fr)))[,1]
}
}
if(is.xts(tmp.symbol)) {
if(auto.update) {
xtsAttributes(tmp.symbol) <- list(dividends=fr)
assign(Symbol.name,tmp.symbol,envir=env)
}
} else if(auto.assign) {
assign(paste(Symbol.name,'div',sep='.'),fr,envir=env)
} else fr
} |
library(sf)
test_that("st_network_bbox combines the bounding box of nodes and edges", {
rdm_rox = roxel[sample(nrow(roxel), 50), ]
net = as_sfnetwork(rdm_rox)
expect_true(
all(names(st_network_bbox(net)) == c("xmin", "ymin", "xmax", "ymax"))
)
expect_true(
st_network_bbox(net)["xmin"] <= st_bbox(activate(net, "nodes"))["xmin"]
)
expect_true(
st_network_bbox(net)["xmin"] <= st_bbox(activate(net, "edges"))["xmin"]
)
expect_true(
st_network_bbox(net)["ymin"] <= st_bbox(activate(net, "nodes"))["ymin"]
)
expect_true(
st_network_bbox(net)["ymin"] <= st_bbox(activate(net, "edges"))["ymin"]
)
expect_true(
st_network_bbox(net)["xmax"] >= st_bbox(activate(net, "nodes"))["xmax"]
)
expect_true(
st_network_bbox(net)["xmax"] >= st_bbox(activate(net, "edges"))["xmax"]
)
expect_true(
st_network_bbox(net)["ymax"] >= st_bbox(activate(net, "nodes"))["ymax"]
)
expect_true(
st_network_bbox(net)["ymax"] >= st_bbox(activate(net, "edges"))["ymax"]
)
}) |
observeEvent(input$analyzeBtn, {
withBusyIndicator("analyzeBtn", {
html("analyzeProgress", "")
withCallingHandlers(
dataValues$plate <- dataValues$plate %>% analyze(restart = TRUE),
message = function(m) {
html("analyzeProgress", m$message, TRUE)
},
warning = function(m) {
html("analyzeProgress", paste0(m$message, "\n"), TRUE)
}
)
show("analyzeNextMsg")
})
})
observeEvent(input$toResults,
updateTabsetPanel(session, "mainNav", "resultsTab")
) |
context("wrf_put")
wrf_create(wrfinput_dir = system.file("extdata", package = "eixport"),
wrfchemi_dir = file.path(tempdir()),
domains = 2,
frames_per_auxinput5 = 1,
auxinput5_interval_m = 60,
day_offset = 1,
verbose = FALSE)
f1 <- list.files(path = file.path(tempdir()),pattern = "wrfchemi",
full.names = TRUE)
CO <- wrf_get(file = f1, name = "E_CO")
CO[] = 1:length(CO)
wrf_put(file = f1, name = "E_CO", POL = CO)
wrf_add(file = f1, name = "E_CO", POL = CO)
f2 <- unzip(zipfile = paste0(system.file("extdata", package = "eixport"),
"/wrfchemi_d02_2011-08-02.zip"),
exdir = file.path(tempdir()))
CO <- wrf_get(file = f2, name = "E_CO")
CO[] = 1:length(CO)
wrf_put(file = f2, name = "E_CO", POL = CO)
wrf_add(file = f2, name = "E_CO", POL = CO)
nc1 <- ncdf4::nc_open(f1)
nc2 <- ncdf4::nc_open(f2)
test_that("wrf_put works", {
expect_equal(ncdf4::ncvar_get(nc1, "E_CO"),
ncdf4::ncvar_get(nc2, "E_CO")
)
}) |
hd.meantest2 <- function(y1, y2, R = 1) {
z1 <- Rfast::Log(y1)
z1 <- z1 - Rfast::rowmeans( z1 )
z2 <- Rfast::Log(y2)
z2 <- z2 - Rfast::rowmeans( z2 )
n1 <- dim(y1)[1] ; n2 <- dim(y2)[1] ; p <- dim(y1)[2]
m1 <- Rfast::colmeans(z1)
m2 <- Rfast::colmeans(z2)
s1 <- (n1 - 1) * Rfast::colVars(z1)
s2 <- (n2 - 1) * Rfast::colVars(z2)
gii <- (s1 + s2) / (n1 + n2)
Mn <- (m1 - m2)^2 / gii
Mn <- (n1 * n2)/(n1 + n2) * max(Mn)
pvalue <- 1 - exp( -1/sqrt(pi) * exp( ( - Mn + 2 * log(p) - log( log(p) ) )/2 ) )
if ( R > 1 ) {
mc <- (n1 * m1 / s1 + n2 * m2 / s2) / (n1/s1 + n2/s2)
mc1 <- - m1 + mc
mc2 <- - m2 + mc
x1 <- Rfast::eachrow(z1, mc1, oper = "+")
x2 <- Rfast::eachrow(z2, mc2, oper = "+")
Mnb <- numeric(R)
for (i in 1:R) {
xb1 <- x1[sample(1:n1, n1, replace = TRUE), ]
xb2 <- x2[sample(1:n2, n2, replace = TRUE), ]
m1 <- Rfast::colmeans(xb1)
m2 <- Rfast::colmeans(xb2)
s1 <- (n1 - 1) * Rfast::colVars(xb1)
s2 <- (n2 - 1) * Rfast::colVars(xb2)
gii <- (s1 + s2) / (n1 + n2)
stat <- (m1 - m2)^2 / gii
Mnb[i] <- max(stat)
}
pvalue <- ( sum( (n1 * n2)/(n1 + n2) * Mnb >= Mn ) + 1 ) / (R + 1)
}
res <- c(Mn, pvalue)
names(res) <- c("Mn", "p-value")
res
} |
StackingXY <-
function(YList,XList,RespDist,Beta,VT,B=NULL,ZZMatrix,LinkList) {
for (i in 1:length(YList)){
if (i==1) {
Y<-YList[[1]]
X<-XList[[1]]
}
else {
Y<-rbind(Y,YList[[i]])
X<-dbind(X,XList[[i]])
}
}
if (is.null(B)) B<-rep(1,length(Y))
nModels <- length(YList)
ModelsDims <- sapply(YList,nrow)
cModelsDims <- cumsum(c(0,ModelsDims))
mu<-0
Wvec<-0
dWdmu<-0
dmudeta<-0
d2Wdmu2<-0
TT <- cbind(X,ZZMatrix)
nrand <- ncol(ZZMatrix)
ptot <- ncol(X)
ntot <- nrow(Y)
TT <- rbind(TT, cbind(matrix(0,nrand,ptot),diag(nrand)))
eta<-TT[1:ntot,]%*%as.matrix(c(Beta,unlist(VT)))
for (i in 1:nModels){
mu[(cModelsDims[i]+1):cModelsDims[i+1]]<-B[(cModelsDims[i]+1):cModelsDims[i+1]]*InvLinkY(eta[(cModelsDims[i]+1):cModelsDims[i+1]],LinkList[[i]])
Wvec[(cModelsDims[i]+1):cModelsDims[i+1]]<-Wmatgen(mu[(cModelsDims[i]+1):cModelsDims[i+1]],B[(cModelsDims[i]+1):cModelsDims[i+1]],LinkList[[i]],RespDist[i])
dWdmu[(cModelsDims[i]+1):cModelsDims[i+1]]<-dWdmugen(mu[(cModelsDims[i]+1):cModelsDims[i+1]],B[(cModelsDims[i]+1):cModelsDims[i+1]],LinkList[[i]],RespDist[i])
d2Wdmu2[(cModelsDims[i]+1):cModelsDims[i+1]]<-d2Wdmu2gen(mu[(cModelsDims[i]+1):cModelsDims[i+1]],B[(cModelsDims[i]+1):cModelsDims[i+1]],LinkList[[i]],RespDist[i])
dmudeta[(cModelsDims[i]+1):cModelsDims[i+1]]<-dmudetagen(mu[(cModelsDims[i]+1):cModelsDims[i+1]],B[(cModelsDims[i]+1):cModelsDims[i+1]],LinkList[[i]],RespDist[i])
}
return(list(TT=TT),mu=mu,Wvec=Wvec,dWdmu=dWdmu,d2Wdmu2,dmudeta=dmudeta)
} |
set.global <- function(K = 2, X.spmd = NULL, PARAM = NULL,
algorithm = c("em", "aecm", "apecm", "apecma", "kmeans"),
RndEM.iter = 10){
if(is.null(X.spmd)){
if(exists("X.spmd", envir = .pmclustEnv)){
X.spmd <- get("X.spmd", envir = .pmclustEnv)
} else{
A <- exists("X.spmd", envir = .GlobalEnv)
B <- exists("X.gbd", envir = .GlobalEnv)
if(A){
} else if(B){
X.spmd <- get("X.gbd", envir = .pmclustEnv)
.pmclustEnv$X.spmd <- X.spmd
} else{
comm.stop("A global X.spmd or X.gbd does not exist.")
}
}
} else{
.pmclustEnv$X.spmd <- X.spmd
}
N.spmd <- nrow(X.spmd)
N.allspmds <- spmd.allgather.integer(as.integer(N.spmd),
integer(spmd.comm.size()))
N <- sum(N.allspmds)
p <- ncol(X.spmd)
if(is.null(PARAM)){
PARAM <- list(N = N, p = p, K = K, ETA = rep(1 / K, K),
log.ETA = rep(-log(K), K), MU = NULL,
SIGMA = rep(list(diag(1.0, p)), K),
U = rep(list(), K),
U.check = rep(TRUE, K),
logL = NULL,
min.N.CLASS = min(c((p + 1) * p * 0.5 + 1, N / K * 0.2)))
} else{
PARAM$N <- N
K <- PARAM$K
}
.pmclustEnv$CONTROL <- .PMC.CT$CONTROL
.pmclustEnv$CONTROL$RndEM.iter <- RndEM.iter
.pmclustEnv$COMM.SIZE <- spmd.comm.size()
.pmclustEnv$COMM.RANK <- spmd.comm.rank()
.pmclustEnv$p.times.logtwopi <- p * log(2 * pi)
.pmclustEnv$Z.spmd <- matrix(0.0, nrow = N.spmd, ncol = K)
.pmclustEnv$Z.colSums <- rep(0.0, K)
.pmclustEnv$W.spmd <- matrix(0.0, nrow = N.spmd, ncol = K)
.pmclustEnv$W.spmd.rowSums <- rep(0.0, N.spmd)
.pmclustEnv$U.spmd <- matrix(0.0, nrow = N.spmd, ncol = K)
.pmclustEnv$CLASS.spmd <- rep(0, N.spmd)
.pmclustEnv$CHECK <- list(algorithm = algorithm[1], i.iter = 0, abs.err = Inf,
rel.err = Inf, convergence = 0)
for(i.k in 1:K){
tmp.U <- decompsigma(PARAM$SIGMA[[i.k]])
PARAM$U[[i.k]] <- tmp.U$value
PARAM$U.check[[i.k]] <- tmp.U$check
}
PARAM
} |
setES <- function(MAXPROMPT=NULL, IMEI_NUMBERS=NULL, SVYNAMES=NULL, ESVN=NULL) {
if(is.null(MAXPROMPT) | !is.numeric(MAXPROMPT)) {
stop("Argument 'MAXPROMPT' is obligatory. It must be of type numeric.")
}
if(MAXPROMPT%%1 != 0L | MAXPROMPT <= 0) {
stop("Argument 'MAXPROMPT' must be a positive integer.")
}
MAXPROMPT <- as.integer(MAXPROMPT)
if(!is.vector(IMEI_NUMBERS) | !is.character(IMEI_NUMBERS)) {
stop("Argument 'IMEI_NUMBERS' must be a vector containing elements of type 'character'.")
}
if(is.null(ESVN)) {
stop("Argument 'ESVN' is missing. It must be produced by the function 'relevantESVN'.")
} else if (class(ESVN) != "list" |
is.integer0(ESVN[["ES_DATETIMES_SEP"]]) |
!is.logical(ESVN[["ES_DATETIMES_SEP"]])) {
stop("Argument 'ESVN' must be produced by the function 'relevantESVN'.")
}
checkIMEI_NUMBERS_len <- c()
for(i in 1:length(IMEI_NUMBERS)) {checkIMEI_NUMBERS_len <- c(checkIMEI_NUMBERS_len, nchar(IMEI_NUMBERS[i]))}
if(!is.vector(IMEI_NUMBERS) | var(checkIMEI_NUMBERS_len) != 0) {
stop('All IMEI numbers must contain an equal amount of single characters, e.g. "3" and "47" differ by 1 single character.')
}
RELEVANTINFO_ES <- list()
RELEVANTINFO_ES[["MAXPROMPT"]] <- MAXPROMPT
RELEVANTINFO_ES[["IMEI_NUMBERS"]] <- IMEI_NUMBERS
if(!is.null(SVYNAMES)) {
if(!is.character(SVYNAMES)) {
stop("Argument 'SVYNAMES' must be of type 'character'.")
}
RELEVANTINFO_ES[["SVYNAMES"]] <- SVYNAMES
} else {
RELEVANTINFO_ES[["SVYNAMES"]] <- "NO_SURVEY_NAMES_PASSED_BY_USER"
}
RELEVANTVN_ES <- list()
RELEVANTVN_ES[["ES_SVY_NAME"]] <- ESVN[[1]]
RELEVANTVN_ES[["ES_IMEI"]] <- ESVN[[2]]
if(ESVN[["ES_DATETIMES_SEP"]]) {
RELEVANTVN_ES[["ES_START_DATE"]] <- ESVN[[3]]
RELEVANTVN_ES[["ES_START_TIME"]] <- ESVN[[4]]
RELEVANTVN_ES[["ES_END_DATE"]] <- ESVN[[5]]
RELEVANTVN_ES[["ES_END_TIME"]] <- ESVN[[6]]
cat("For the event sampling dataset(s) next apply the function 'genKey' and then function 'genDateTime'.")
} else {
RELEVANTVN_ES[["ES_START_DATETIME"]] <- ESVN[[3]]
RELEVANTVN_ES[["ES_END_DATETIME"]] <- ESVN[[4]]
cat("For the event sampling dataset(s) next apply the function 'genKey' and then function 'splitDateTime'.")
}
list(RELEVANTVN_ES = RELEVANTVN_ES, RELEVANTINFO_ES = RELEVANTINFO_ES)
} |
GIN <- function(level){
x <- NULL
if(level==1){
x1 <- github.cssegisanddata.covid19(country = "Guinea")
x2 <- ourworldindata.org(id = "GIN")
x <- full_join(x1, x2, by = "date")
}
return(x)
} |
knitr::opts_chunk$set(
collapse = TRUE,
comment = "
out.width = "300px", fig.align = "center", dpi = 300
)
library(ggplot2)
theme_set(theme_bw())
library(dplyr)
library(mgcv)
library(tidymv)
set.seed(10)
data <- gamSim(4)
model <- gam(
y ~
fac +
s(x2) +
s(x2, by = fac) +
s(x0),
data = data
)
plot_smooths(
model = model,
series = x2,
comparison = fac
) +
theme(legend.position = "top")
data("pois_df")
pois_gam <- gam(y ~ s(x, by = fac), data = pois_df, family = poisson)
plot_smooths(pois_gam, x, fac, transform = exp, series_length = 70) +
theme(legend.position = "top")
model_2 <- gam(
y ~
s(x0) +
s(x2),
data = data
)
plot_smooths(
model = model_2,
series = x0
)
data("inter_df")
inter_df <- inter_df %>%
mutate(
x1x2 = interaction(x1, x2)
)
model_inter <- bam(
y ~
x1x2 +
s(x0, k = 8, by = x1x2),
data = inter_df
)
plot_smooths(
model = model_inter,
series = x0,
comparison = x1,
facet_terms = x2,
split = list(x1x2 = c("x1", "x2"))
) +
theme(legend.position = "top")
plot_smooths(
model = model_inter,
series = x0,
comparison = x1,
facet_terms = x2,
conditions = quos(x2 == "b"),
split = list(x1x2 = c("x1", "x2"))
) +
theme(legend.position = "top")
plot_smooths(
model = model_inter,
series = x0,
comparison = x1,
facet_terms = x2,
conditions = quos(x1 %in% c(1, 3)),
split = list(x1x2 = c("x1", "x2"))
) +
theme(legend.position = "top")
preds <- get_gam_predictions(model_inter, x0, split = list(x1x2 = c("x1", "x2")))
preds %>%
ggplot(aes(x0, y)) +
geom_ribbon(aes(ymin = CI_lower, ymax = CI_upper, fill = x1, group = .idx), alpha = 0.3) +
geom_line(aes(colour = x1, linetype = x2))
plot_difference(
pois_gam,
series = x,
difference = list(fac = c("b", "a"))
)
plot_difference(
model_inter,
x0,
difference = list(x1x2 = c("2.a", "3.a"))
)
plot_difference(
model_inter,
x0,
difference = list(x1x2 = c("1.b", "2.b"))
)
inter_diff <- get_smooths_difference(model_inter, x0, list(x1x2 = c("2.a", "3.a")))
inter_diff %>%
ggplot(aes(x0, difference, group = group)) +
geom_hline(aes(yintercept = 0), colour = "
geom_ribbon(aes(ymin = CI_lower, ymax = CI_upper, fill = sig_diff), alpha = 0.3) +
geom_line(aes(colour = sig_diff), size = 1) +
scale_colour_manual(values = c("
scale_fill_manual(values = c("
labs(colour = "significant", fill = "significant") +
theme(legend.position = "top")
set.seed(10)
data <- gamSim(4)
fac_gam <- gam(y ~ fac + s(x2) + s(x2, by = fac) + s(x0), data = data)
fac_diff <- get_smooths_difference(model, x2, list(fac = c("1", "2")))
fac_diff %>%
ggplot(aes(x2, difference)) +
geom_hline(aes(yintercept = 0)) +
geom_ribbon(aes(ymin = -Inf, ymax = Inf, fill = sig_diff, group = group), alpha = 0.2) +
geom_ribbon(aes(ymin = CI_lower, ymax = CI_upper), alpha = 0.3) +
geom_line(size = 1) +
labs(colour = "significant", fill = "significant") +
theme(legend.position = "top") |
context("Encoding Tests")
test_that("Write read encoding equality", {
tempFile <- file.path(tempdir(), "temp.xlsx")
wb <- createWorkbook()
for(i in 1:4)
addWorksheet(wb, sprintf('Sheet %s', i))
df <- data.frame("X" = c("测试", "一下"), stringsAsFactors = FALSE)
writeDataTable(wb, sheet = 1, x = df)
saveWorkbook(wb, tempFile, overwrite = TRUE)
x <- read.xlsx(tempFile)
expect_equal(x, df)
x <- read.xlsx(wb)
expect_equal(x, df)
wb <- loadWorkbook(tempFile)
x <- read.xlsx(wb)
expect_equal(x, df)
saveWorkbook(wb, tempFile, overwrite = TRUE)
x <- read.xlsx(tempFile)
expect_equal(x, df)
unlink(tempFile, recursive = TRUE, force = TRUE)
rm(wb)
}) |
context("result-parsers")
raw_rec <- entrez_fetch(db="pubmed", id=20674752, rettype="xml")
xml_rec <- entrez_fetch(db="pubmed", id=20674752, rettype="xml", parsed=TRUE)
multi_rec <- entrez_fetch(db="pubmed",
id=c(22883857, 25042335, 20203609,11959827),
rettype="xml", parsed=TRUE)
parsed_raw <- parse_pubmed_xml(raw_rec)
parsed_rec <- parse_pubmed_xml(xml_rec)
parsed_multi <- parse_pubmed_xml(multi_rec)
multi_pmid_eg <- parse_pubmed_xml(
entrez_fetch(db="pubmed", id='29743284', rettype="xml")
)
test_that("pubmed file parsers work",{
expect_that(raw_rec, is_a("character"))
expect_that(parsed_raw, is_a("pubmed_record"))
expect_that(parsed_rec, is_a("pubmed_record"))
expect_that(names(parsed_rec), is_a("character"))
expect_that(parsed_rec$pmid, is_identical_to("20674752"))
expect_that(parsed_multi, is_a("multi_pubmed_record"))
expect_that(parsed_multi[[1]], is_a("pubmed_record"))
expect_that(length(parsed_multi), equals(4))
expect_that(length(parsed_multi[[1]]$authors), equals(1))
expect_that(length(multi_pmid_eg$pmid), equals(1))
})
test_that("we can print pubmed records", {
expect_output(print(parsed_rec), "Pubmed record")
expect_output(print(parsed_multi), "List of 4 pubmed records")
})
test_that("We warn about unknown pubmed record types", {
rec = entrez_fetch(db="pubmed", id=25905152, rettype="xml")
expect_warning(parsed_rec <- parse_pubmed_xml(rec))
expect_output(print(parsed_rec), "Pubmed record \\(empty\\)")
})
|
repr_dwt <- function(x, level = 4, filter = "d4") {
x <- as.numeric(x)
repr <- wavelets::dwt(x, filter = filter, n.levels = level, boundary = "periodic")@V[[level]]
return(as.vector(repr))
}
repr_dft <- function(x, coef = 10) {
x <- as.numeric(x)
fourier_fft <- fft(x)
inv_fft <- fft(fourier_fft[1:coef], inverse = TRUE) / coef
return(as.vector(Re(inv_fft)))
}
repr_dct <- function(x, coef = 10) {
x <- as.numeric(x)
x_dct <- dtt::dct(x)
repr <- dtt::dct(x_dct[1:coef], inverted = TRUE)
return(as.vector(repr))
} |
knitr::opts_chunk$set(
collapse = TRUE,
comment = "
)
library(ondisc)
raw_data_dir <- system.file("extdata", package = "ondisc")
list.files(raw_data_dir)
mtx_fp <- paste0(raw_data_dir, "/gene_expression.mtx")
barcodes_fp <- paste0(raw_data_dir, "/cell_barcodes.tsv")
features_fp <- paste0(raw_data_dir, "/genes.tsv")
temp_dir <- tempdir()
exp_mat_list <- create_ondisc_matrix_from_mtx(mtx_fp = mtx_fp,
barcodes_fp = barcodes_fp,
features_fp = features_fp,
on_disk_dir = temp_dir)
expression_mat <- exp_mat_list$ondisc_matrix
head(expression_mat)
cell_covariates <- exp_mat_list$cell_covariates
head(cell_covariates)
feature_covariates <- exp_mat_list$feature_covariates
head(feature_covariates)
"ondisc_matrix_1.h5" %in% list.files(temp_dir)
feature_ids <- get_feature_ids(expression_mat)
feature_names <- get_feature_names(expression_mat)
cell_barcodes <- get_cell_barcodes(expression_mat)
head(feature_ids)
head(feature_names)
head(cell_barcodes)
dim(expression_mat)
nrow(expression_mat)
ncol(expression_mat)
x <- expression_mat[100:110,]
x <- expression_mat[,-c(10,20)]
x <- expression_mat[c(50:100, 200:250), 300:500]
x <- expression_mat[c("ENSG00000107581", "ENSG00000286857", "ENSG00000266371"),]
x <- expression_mat[,c("CGTTGGGCATGGCTGC-1", "GTAACCAGTACAGTTC-1")]
x <- expression_mat[!(get_feature_ids(expression_mat)
%in% c("ENSG00000237832", "ENSG00000229637")),]
expression_mat
m <- expression_mat[[6,]]
m <- expression_mat[[,200:250]]
m <- expression_mat[[50:100, 200:250]]
m <- expression_mat[[c("ENSG00000107581", "ENSG00000286857"),]]
m <- expression_mat[[,c("CGTTGGGCATGGCTGC-1", "GTAACCAGTACAGTTC-1")]]
x <- expression_mat[c("ENSG00000107581", "ENSG00000286857", "ENSG00000266371"),]
m <- x[[get_feature_ids(x) != "ENSG00000107581",]]
saveRDS(object = expression_mat, file = paste0(temp_dir, "/expression_matrix.rds"))
rm(expression_mat)
expression_mat <- readRDS(paste0(temp_dir, "/expression_matrix.rds"))
h5_file <- paste0(temp_dir, "/ondisc_matrix_1.h5")
expression_mat <- ondisc_matrix(h5_file) |
"fun.simu.bimodal" <-
function(result1, result2, prop1, prop2, len=1000,no.test = 1000, param1, param2)
{
if (missing(prop2)) {
prop2 <- 1 - prop1
}
no.1 <- round(len * no.test * prop1)
sample.fitted1 <- rgl(no.1, result1[1], result1[2], result1[3],
result1[4], param1)
sample.fitted2 <- rgl(len * no.test - no.1, result2[1], result2[2],
result2[3], result2[4], param2)
sample.fitted <- split(c(sample.fitted1, sample.fitted2),
1:no.test)
return(sample.fitted)
} |
species.richness.main <-
function(dataset.all.species, dataset.landwater, dataset.height, distances=1:10, weight=0.5,
resolution=1, narrow.endemic=FALSE, narrow.endemic.limit=5,
upperbound=5, cross.validation=FALSE, fold=5, loocv.limit=10,
create.image=FALSE, image.title="Interpolated Species Richness",
directory=getwd(), filename="species.richness.png",
evaluation=FALSE, eval.title="Histogramm", adjust=FALSE,
clusterlimit=100, predefinedClusterlist=NULL, all.species=-1,
export=FALSE, drivername="GTiff", exportname="species.richness.tif",
noninterpolatedgrid=NULL, silent=TRUE, do.parallel=FALSE){
if (!silent)
cat("Preparing grid.. ")
dimension <- getDimension(dataset.all.species, resolution)
shift <- getShift(dataset.all.species)
if (!silent)
cat("Done!\n")
if (!silent)
cat("Preparing land-water-mask.. ")
landwatermask <- createLandwatermask(dataset.landwater, dimension, shift, resolution)
if (!silent)
cat("Done!\n")
if (!silent)
cat("Preparing height-information.. ")
height.matrix <- createHeightmask(dataset.height, dimension, shift, resolution)
if (!silent)
cat("Done!\n")
height.matrix[which(height.matrix < 0)] <- 0
landwatermask[which(landwatermask >= 0)] <- height.matrix[which(landwatermask >= 0)]
if (narrow.endemic){
if (!silent)
cat("Extracting narrow endemic species.. ",sep="")
all.species <- getNarrowEndemics(dataset.all.species, all.species,
narrow.endemic.limit, dimension, shift,
resolution)
if (!silent)
cat("Done!\n")
}
if (cross.validation){
if (!silent)
cat("Calculating cross-validated species richness.. \n")
species.richness.weighted <- species.richness.cv(dataset.all.species, landwatermask, fold,
loocv.limit, distances, weight, dimension,
shift, resolution, upperbound, all.species,
silent, do.parallel)
} else {
if (!silent)
cat("Calculating species richness.. \n")
species.richness.weighted <- species.richness(dataset.all.species, landwatermask, distances,
weight, dimension, shift, resolution,
upperbound, all.species, silent, do.parallel)
}
if (adjust){
if (!silent)
cat("Adjusting grid .. ")
if (is.null(noninterpolatedgrid)){
noninterpolatedgrid <- createNonInterpolatedGrid(dataset.all.species,
dimension, shift, resolution, all.species)
}
if (is.null(predefinedClusterlist)){
clusterlist <- searchClusters(species.richness.weighted, dimension, shift,
resolution=1, clusterlimit)
} else {
clusterlist <- predefinedClusterlist
}
species.richness.weighted <- adjustment(species.richness.weighted, noninterpolatedgrid,
clusterlist)
if (!silent)
cat("Done!\n")
}
if (create.image){
if (!silent)
cat("Creating Map (PNG-File).. ")
if(createImage(species.richness.weighted, landwatermask, image.title, directory,
filename, shift, parts=10, resolution)){
if (!silent)
cat("PNG-File successfully created!\n")
} else {
cat("PNG-File-Creation failed!\n")
}
}
if (evaluation) {
if (!silent)
cat("Creating Evaluation (PNG-File).. ")
if(evaluate(result.grid.one=species.richness.weighted, result.grid.two=NULL,
title.one=eval.title, title.two=NULL, xmax=400, directory=directory,
filename=paste(substring(filename, 1, nchar(filename)-4),".histogramm.png",sep=""))){
if (!silent)
cat("PNG-File successfully created!\n")
} else {
if (!silent)
cat("PNG-File-Creation failed!\n")
}
}
if (export) {
if (!silent)
cat("Export .. ")
exportAsGDAL(species.richness.weighted, shift, resolution,
directory=directory, filename=exportname,
drivername=drivername)
if (!silent)
cat("Done!\n")
}
return(species.richness.weighted)
} |
library(checkargs)
context("isNegativeNumberOrNaOrNanVectorOrNull")
test_that("isNegativeNumberOrNaOrNanVectorOrNull works for all arguments", {
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull(NULL, stopIfNot = FALSE, message = NULL, argumentName = NULL), TRUE)
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull(TRUE, stopIfNot = FALSE, message = NULL, argumentName = NULL), FALSE)
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull(FALSE, stopIfNot = FALSE, message = NULL, argumentName = NULL), FALSE)
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull(NA, stopIfNot = FALSE, message = NULL, argumentName = NULL), TRUE)
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull(0, stopIfNot = FALSE, message = NULL, argumentName = NULL), TRUE)
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull(-1, stopIfNot = FALSE, message = NULL, argumentName = NULL), TRUE)
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull(-0.1, stopIfNot = FALSE, message = NULL, argumentName = NULL), TRUE)
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull(0.1, stopIfNot = FALSE, message = NULL, argumentName = NULL), FALSE)
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull(1, stopIfNot = FALSE, message = NULL, argumentName = NULL), FALSE)
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull(NaN, stopIfNot = FALSE, message = NULL, argumentName = NULL), TRUE)
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull(-Inf, stopIfNot = FALSE, message = NULL, argumentName = NULL), FALSE)
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull(Inf, stopIfNot = FALSE, message = NULL, argumentName = NULL), FALSE)
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull("", stopIfNot = FALSE, message = NULL, argumentName = NULL), FALSE)
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull("X", stopIfNot = FALSE, message = NULL, argumentName = NULL), FALSE)
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull(c(TRUE, FALSE), stopIfNot = FALSE, message = NULL, argumentName = NULL), FALSE)
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull(c(FALSE, TRUE), stopIfNot = FALSE, message = NULL, argumentName = NULL), FALSE)
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull(c(NA, NA), stopIfNot = FALSE, message = NULL, argumentName = NULL), TRUE)
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull(c(0, 0), stopIfNot = FALSE, message = NULL, argumentName = NULL), TRUE)
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull(c(-1, -2), stopIfNot = FALSE, message = NULL, argumentName = NULL), TRUE)
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull(c(-0.1, -0.2), stopIfNot = FALSE, message = NULL, argumentName = NULL), TRUE)
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull(c(0.1, 0.2), stopIfNot = FALSE, message = NULL, argumentName = NULL), FALSE)
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull(c(1, 2), stopIfNot = FALSE, message = NULL, argumentName = NULL), FALSE)
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull(c(NaN, NaN), stopIfNot = FALSE, message = NULL, argumentName = NULL), TRUE)
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull(c(-Inf, -Inf), stopIfNot = FALSE, message = NULL, argumentName = NULL), FALSE)
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull(c(Inf, Inf), stopIfNot = FALSE, message = NULL, argumentName = NULL), FALSE)
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull(c("", "X"), stopIfNot = FALSE, message = NULL, argumentName = NULL), FALSE)
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull(c("X", "Y"), stopIfNot = FALSE, message = NULL, argumentName = NULL), FALSE)
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull(NULL, stopIfNot = TRUE, message = NULL, argumentName = NULL), TRUE)
expect_error(isNegativeNumberOrNaOrNanVectorOrNull(TRUE, stopIfNot = TRUE, message = NULL, argumentName = NULL))
expect_error(isNegativeNumberOrNaOrNanVectorOrNull(FALSE, stopIfNot = TRUE, message = NULL, argumentName = NULL))
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull(NA, stopIfNot = TRUE, message = NULL, argumentName = NULL), TRUE)
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull(0, stopIfNot = TRUE, message = NULL, argumentName = NULL), TRUE)
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull(-1, stopIfNot = TRUE, message = NULL, argumentName = NULL), TRUE)
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull(-0.1, stopIfNot = TRUE, message = NULL, argumentName = NULL), TRUE)
expect_error(isNegativeNumberOrNaOrNanVectorOrNull(0.1, stopIfNot = TRUE, message = NULL, argumentName = NULL))
expect_error(isNegativeNumberOrNaOrNanVectorOrNull(1, stopIfNot = TRUE, message = NULL, argumentName = NULL))
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull(NaN, stopIfNot = TRUE, message = NULL, argumentName = NULL), TRUE)
expect_error(isNegativeNumberOrNaOrNanVectorOrNull(-Inf, stopIfNot = TRUE, message = NULL, argumentName = NULL))
expect_error(isNegativeNumberOrNaOrNanVectorOrNull(Inf, stopIfNot = TRUE, message = NULL, argumentName = NULL))
expect_error(isNegativeNumberOrNaOrNanVectorOrNull("", stopIfNot = TRUE, message = NULL, argumentName = NULL))
expect_error(isNegativeNumberOrNaOrNanVectorOrNull("X", stopIfNot = TRUE, message = NULL, argumentName = NULL))
expect_error(isNegativeNumberOrNaOrNanVectorOrNull(c(TRUE, FALSE), stopIfNot = TRUE, message = NULL, argumentName = NULL))
expect_error(isNegativeNumberOrNaOrNanVectorOrNull(c(FALSE, TRUE), stopIfNot = TRUE, message = NULL, argumentName = NULL))
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull(c(NA, NA), stopIfNot = TRUE, message = NULL, argumentName = NULL), TRUE)
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull(c(0, 0), stopIfNot = TRUE, message = NULL, argumentName = NULL), TRUE)
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull(c(-1, -2), stopIfNot = TRUE, message = NULL, argumentName = NULL), TRUE)
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull(c(-0.1, -0.2), stopIfNot = TRUE, message = NULL, argumentName = NULL), TRUE)
expect_error(isNegativeNumberOrNaOrNanVectorOrNull(c(0.1, 0.2), stopIfNot = TRUE, message = NULL, argumentName = NULL))
expect_error(isNegativeNumberOrNaOrNanVectorOrNull(c(1, 2), stopIfNot = TRUE, message = NULL, argumentName = NULL))
expect_identical(isNegativeNumberOrNaOrNanVectorOrNull(c(NaN, NaN), stopIfNot = TRUE, message = NULL, argumentName = NULL), TRUE)
expect_error(isNegativeNumberOrNaOrNanVectorOrNull(c(-Inf, -Inf), stopIfNot = TRUE, message = NULL, argumentName = NULL))
expect_error(isNegativeNumberOrNaOrNanVectorOrNull(c(Inf, Inf), stopIfNot = TRUE, message = NULL, argumentName = NULL))
expect_error(isNegativeNumberOrNaOrNanVectorOrNull(c("", "X"), stopIfNot = TRUE, message = NULL, argumentName = NULL))
expect_error(isNegativeNumberOrNaOrNanVectorOrNull(c("X", "Y"), stopIfNot = TRUE, message = NULL, argumentName = NULL))
}) |
emuDBhandle = function(dbName,
basePath,
UUID,
connectionPath,
connection = NULL){
if(is.null(connection)){
con <- DBI::dbConnect(RSQLite::SQLite(),
connectionPath)
}else{
con = connection
}
handle = list(dbName = dbName,
basePath = basePath,
UUID = UUID,
connection = con)
class(handle) = "emuDBhandle"
if(class(handle$connection) == "SQLiteConnection"){
setSQLitePragmas(handle$connection)
RSQLite::initRegExp(handle$connection)
}
if(connectionPath == ":memory:"
|| file.exists(file.path(basePath,
paste0(dbName, database.cache.suffix)))
|| !is.null(connection)){
initialize_emuDbDBI(handle)
}
return(handle)
}
setSQLitePragmas <- function(con){
DBI::dbExecute(con, "PRAGMA foreign_keys = ON;")
DBI::dbExecute(con, "PRAGMA temp_store = 2;")
}
print.emuDBhandle = function(x, ...){
check_emuDBhandle(x)
print(paste0("<emuDBhandle> (dbName = '", x$dbName, "', basePath = '", x$basePath, "')"))
}
check_emuDBhandle <- function(emuDBhandle, checkCache = TRUE){
if(!dir.exists(emuDBhandle$basePath)){
stop(paste0("emuDBhandle is invalid as emuDBhandle$basePath ",
"doesn't exist! Please reload the emuDB."))
}
if(!DBI::dbIsValid(emuDBhandle$connection)){
stop(paste0("emuDBhandle is invalid as emuDBhandle$connection is not ",
"a valid DBI connection! Please reload the emuDB."))
}
dbName = stringr::str_replace(basename(emuDBhandle$basePath),
pattern = '_emuDB$',
replacement = '')
if(!file.exists(file.path(emuDBhandle$basePath, paste0(dbName, database.schema.suffix)))){
stop(paste0("emuDBhandle is invalid as the directory emuDBhandle$basePath doesn't ",
"contain the _DBconfig.json file '", dbName, "_DBconfig.json'. Note that ",
"the emuDB directory has to have the same prefix / name as the _DBconfig.json."))
}
if(checkCache){
if(!file.exists(file.path(emuDBhandle$basePath, paste0(dbName, database.cache.suffix)))){
stop(paste0("emuDBhandle is invalid as the directory emuDBhandle$basePath doesn't contain ",
"a _emuDBcache.sqlite file! Please reload the emuDB to recreate the emuDBcache."))
}
}
}
summary.emuDBhandle = function(object, ...){
check_emuDBhandle(object)
cli::cli_h1("Summary of emuDB")
cat("Name:\t", object$dbName, "\n")
cat("UUID:\t", object$UUID, "\n")
cat("Directory:\t", object$basePath, "\n")
sess = list_sessions(object)
cat("Session count:", nrow(sess), "\n")
bndls = list_bundles(object)
cat("Bundle count:", nrow(bndls), "\n")
itCntQ = paste0("SELECT count(*) FROM items WHERE db_uuid='", object$UUID, "'")
itCntDf = DBI::dbGetQuery(object$connection, itCntQ)
itemCnt = itCntDf[[1]]
labCntQ = paste0("SELECT count(*) FROM labels WHERE db_uuid='", object$UUID, "'")
labCntDf = DBI::dbGetQuery(object$connection, labCntQ)
labCnt = labCntDf[[1]]
liCntQ = paste0("SELECT count(*) FROM links WHERE db_uuid='", object$UUID, "'")
liCntDf = DBI::dbGetQuery(object$connection, liCntQ)
linkCnt = liCntDf[[1]]
cat("Annotation item count: ", itemCnt, "\n")
cat("Label count: ", labCnt, "\n")
cat("Link count: ", linkCnt, "\n")
cli::cli_h1("Database configuration")
dbConfig = load_DBconfig(object)
cli::cli_h2("SSFF track definitions")
ssffTrackDefs = list_ssffTrackDefinitions(object)
pr <- print.data.frame(ssffTrackDefs, right = FALSE, row.names = FALSE)
cat("\n")
cli::cli_h2("Level definitions")
levelDefs = list_levelDefinitions(object)
pr <- print.data.frame(levelDefs, right = FALSE, row.names = FALSE)
cat("\n")
lblGrps = list_labelGroups(object)
if(nrow(lblGrps) > 0){
cli::cli_h2("Database label group definitions")
pr <- print.data.frame(lblGrps, right = FALSE, row.names = FALSE)
cat("\n")
}
cli::cli_h2("Link definitions")
linkDefs = list_linkDefinitions(object)
pr <- print.data.frame(linkDefs, right = FALSE, row.names = FALSE)
} |
NULL
data.table = maditr::data.table
as.data.table = maditr::as.data.table
setkeyv = maditr::setkeyv
htmlTable::htmlTable
htmlTable::htmlTableWidget
htmlTable::htmlTableWidgetOutput
htmlTable::interactiveTable
.onAttach = function(...) {
rnd = runif(1)
if(rnd<0.2){
packageStartupMessage("\nUse 'expss_output_viewer()' to display tables in the RStudio Viewer.\n To return to the console output, use 'expss_output_default()'.\n")
}
if(rnd>0.8){
packageStartupMessage("\nUse 'expss_output_rnotebook()' to display tables inside R Notebooks.\n To return to the console output, use 'expss_output_default()'.\n")
}
} |
dotTree<-function(tree,x,legend=TRUE,method="plotTree",standardize=FALSE,...){
if(is.data.frame(x)) x<-as.matrix(x)
if(hasArg(data.type)) data.type<-list(...)$data.type
else {
if(is.numeric(x)) data.type<-"continuous"
else data.type<-"discrete"
}
if(data.type=="continuous"){
if(hasArg(colors)) colors<-list(...)$colors
else colors<-"blue"
dotTree.continuous(tree,x,colors[1],legend,method,standardize,...)
} else if(data.type=="discrete"){
if(hasArg(colors)) colors<-list(...)$colors
else {
ss<-unique(as.vector(x))
colors<-setNames(palette()[1:length(ss)],ss)
}
dotTree.discrete(tree,x,colors,legend,method,...)
}
}
dotTree.continuous<-function(tree,x,color,legend,method,standardize,...){
if(is.data.frame(x)) x<-as.matrix(x)
if(is.matrix(x)&&method=="plotTree"){
if(ncol(x)>1) method<-"phylogram"
else x<-x[,1]
}
if(hasArg(fsize)) fsize<-list(...)$fsize
else fsize<-c(1,0.8)
if(length(fsize)==1) fsize<-rep(fsize,2)
if(hasArg(x.space)) x.space<-list(...)$x.space
else x.space<-0.1
if(hasArg(k)) k<-list(...)$k
else k<-0.8
tree<-reorder(tree,"cladewise")
if(standardize){
if(is.matrix(x)){
sd<-apply(x,2,function(x) sqrt(var(x)))
x<-(x-matrix(rep(1,Ntip(tree)),Ntip(tree),1)%*%colMeans(x))/
(matrix(rep(1,Ntip(tree)),Ntip(tree),1)%*%sd)
} else if(is.vector(x)) x<-(x-mean(x))/sqrt(var(x))
}
min.x<-min(x)
max.x<-max(x)
if(any(x<0)) x<-x-min(x)
if(method=="plotTree"){
fsize<-fsize[1]
x<-x[tree$tip.label]
plotTree(tree,offset=1.7,ylim=c(-Ntip(tree)/25,
Ntip(tree)),...)
obj<-get("last_plot.phylo",envir=.PlotPhyloEnv)
x.tip<-obj$xx[1:obj$Ntip]
y.tip<-obj$yy[1:obj$Ntip]
rr<-(k*x/max(x)+x.space)/2*diff(par()$usr[1:2])/
diff(par()$usr[3:4])
if(k<=0.8&&any(rr>(strwidth("W")*fsize/2)))
rr<-rr/max(rr)*strwidth("W")*fsize/2
nulo<-mapply(draw.circle,x=x.tip+1.2*strwidth("W"),y=y.tip,
radius=rr,MoreArgs=list(nv=200,col=color))
if(legend){
h<-dot.legend(x=par()$usr[1]+0.1*max(nodeHeights(tree)),
y=0,min.x,max.x,Ntip=Ntip(tree),
method="plotTree",...)
if(standardize) text(h,0.1*(1+par()$usr[3]),"(SD units)",pos=4)
}
} else if(method=="phylogram"){
if(is.vector(x)) x<-as.matrix(x)
x[]<-x[tree$tip.label,]
if(hasArg(mar)) mar<-list(...)$mar
else mar<-rep(0.1,4)
if(hasArg(xlim)) xlim<-list(...)$xlim
else xlim<-c(-0.5,0.55+x.space*ncol(x)+x.space/2)
if(hasArg(labels)) labels<-list(...)$labels
else labels<-FALSE
if(hasArg(ylim)) ylim<-list(...)$ylim
else ylim<-c(if(legend) -0.1 else 0,if(labels) 1.1 else 1)
plot.new()
par(mar=mar)
plot.window(xlim=xlim,ylim=ylim)
h<-phylogram(tree,...)
obj<-get("last_plot.phylo",envir=.PlotPhyloEnv)
x.tip<-rep(h,obj$Ntip)
y.tip<-obj$yy[1:obj$Ntip]
rr<-(k*x/max(x)+x.space)/2*diff(par()$usr[1:2])/diff(par()$usr[3:4])/
(Ntip(tree)-1)
if(k<=0.8&&any(rr>(strwidth("W")*fsize[1]/2)))
rr<-rr/max(rr)*strwidth("W")*fsize[1]/2
for(i in 1:ncol(x)){
nulo<-mapply(draw.circle,x=x.tip+1.2*strwidth("W")+x.space*(i-1),
y=y.tip,radius=rr[,i],MoreArgs=list(nv=200,col=color))
}
if(legend){
h<-dot.legend(x=-0.45,y=-0.04,min.x,max.x,Ntip=Ntip(tree),
method="phylogram",...)
if(standardize) text(h,-0.04,"(SD units)",pos=4)
}
if(labels){
text(x=seq(max(x.tip)+1.2*strwidth("W"),
max(x.tip)+1.2*strwidth("W")+x.space*(ncol(x)-1),by=x.space),
y=rep(1.02,ncol(x)),colnames(x),srt=70,adj=c(0,0.5),cex=fsize[2])
}
}
}
dotTree.discrete<-function(tree,x,color,legend,method,...){
if(is.data.frame(x)) x<-as.matrix(x)
if(is.matrix(x)&&method=="plotTree"){
if(ncol(x)>1) method<-"phylogram"
else x<-x[,1]
}
if(hasArg(fsize)) fsize<-list(...)$fsize
else fsize<-c(1,0.8)
if(length(fsize)==1) fsize<-rep(fsize,2)
if(hasArg(x.space)) x.space<-list(...)$x.space
else x.space<-0.1
tree<-reorder(tree,"cladewise")
if(method=="plotTree"){
x<-x[tree$tip.label]
plotTree(tree,offset=1.7,ylim=c(-1/25*Ntip(tree),
Ntip(tree)),...)
obj<-get("last_plot.phylo",envir=.PlotPhyloEnv)
x.tip<-obj$xx[1:obj$Ntip]
y.tip<-obj$yy[1:obj$Ntip]
r<-min(0.8/2*diff(par()$usr[1:2])/diff(par()$usr[3:4]),
strwidth("W")*fsize/2)
nulo<-mapply(draw.circle,x=x.tip+1.2*strwidth("W"),y=y.tip,
col=color[as.character(x)],MoreArgs=list(nv=200,radius=r))
if(legend){
add.simmap.legend(colors=color,prompt=FALSE,
vertical=FALSE,shape="circle",
x=par()$usr[1]+0.1*max(nodeHeights(tree)),
y=-1/25*Ntip(tree))
}
} else if(method=="phylogram"){
if(is.vector(x)) x<-as.matrix(x)
x[]<-x[tree$tip.label,]
if(hasArg(mar)) mar<-list(...)$mar
else mar<-rep(0.1,4)
if(hasArg(xlim)) xlim<-list(...)$xlim
else xlim<-c(-0.5,0.55+x.space*ncol(x)+x.space/2)
if(hasArg(labels)) labels<-list(...)$labels
else labels<-FALSE
if(hasArg(ylim)) ylim<-list(...)$ylim
else ylim<-c(if(legend) -0.1 else 0,if(labels) 1.1 else 1)
plot.new()
par(mar=mar)
plot.window(xlim=xlim,ylim=ylim)
h<-phylogram(tree,...)
obj<-get("last_plot.phylo",envir=.PlotPhyloEnv)
x.tip<-rep(h,obj$Ntip)
y.tip<-obj$yy[1:obj$Ntip]
r<-min(0.8/2*diff(par()$usr[1:2])/diff(par()$usr[3:4])/(Ntip(tree)-1),
strwidth("W")*fsize/2)
for(i in 1:ncol(x)){
nulo<-mapply(draw.circle,x=x.tip+1.2*strwidth("W")+x.space*(i-1),
y=y.tip,col=color[as.character(x[,i])],MoreArgs=list(nv=20,
radius=r))
}
if(legend){
add.simmap.legend(colors=color,prompt=FALSE,
vertical=FALSE,shape="circle",x=-0.45,y=-0.06)
}
if(labels){
text(x=seq(max(x.tip)+1.2*strwidth("W"),
max(x.tip)+1.2*strwidth("W")+x.space*(ncol(x)-1),by=x.space),
y=rep(1.02,ncol(x)),colnames(x),srt=70,adj=c(0,0.5),cex=fsize[2])
}
}
}
dot.legend<-function(x,y,min,max,Ntip,length=5,prompt=FALSE,
method="plotTree",...){
if(hasArg(cex)) cex<-list(...)$cex
else cex<-1
if(hasArg(fsize)) fsize<-list(...)$fsize
else fsize<-1
if(hasArg(colors)) colors<-list(...)$colors
else colors<-"blue"
if(hasArg(leg.space)) leg.space<-list(...)$leg.space
else leg.space<-0.2
if(hasArg(k)) k<-list(...)$k
else k<-0.8
if(prompt){
obj<-locator(1)
x<-obj$x
y<-obj$y
}
if(method=="plotTree"){
text(x,y-0.5*(Ntip/25),round(min,2),pos=1,cex=cex)
s<-(k*max(min,0)/min(max,max+min)+0.1)/2*diff(par()$usr[1:2])/
diff(par()$usr[3:4])
e<-(k+0.1)/2*diff(par()$usr[1:2])/diff(par()$usr[3:4])
rr<-seq(s,e,length.out=length)
if(k<=0.8&&any(rr>(strwidth("W")*fsize/2)))
rr<-rr/max(rr)*strwidth("W")*fsize/2
temp<-c(0,cumsum((1+leg.space)*rep(2*max(rr),length-1)))
nulo<-mapply(draw.circle,x=x+temp,y=rep(y,length),radius=rr,
MoreArgs=list(nv=200,col=colors))
text(max(x+temp),y-0.5*(Ntip/25),round(max,2),pos=1,cex=cex)
y1<-0.1/25*Ntip
lines(c(x,max(x+temp)),rep(y-0.5*(Ntip/25)-y1,2))
lines(c(x,x),y-c(y1+0.5*(Ntip/25),2*y1+0.5*(Ntip/25)))
lines(c(max(x+temp),max(x+temp)),y-c(y1+0.5*(Ntip/25),2*y1+0.5*(Ntip/25)))
} else if(method=="phylogram"){
text(x,y-0.04,round(min,2),pos=1,cex=cex)
s<-(k*max(min,0)/(min(max,max+min))+0.1)/2*
diff(par()$usr[1:2])/diff(par()$usr[3:4])/(Ntip-1)
e<-(k+0.1)/2*diff(par()$usr[1:2])/diff(par()$usr[3:4])/(Ntip-1)
rr<-seq(s,e,length.out=length)
if(k<=0.8&&any(rr>(strwidth("W")*fsize/2)))
rr<-rr/max(rr)*strwidth("W")*fsize/2
temp<-c(0,cumsum((1+leg.space)*rep(2*max(rr),length-1)))
nulo<-mapply(draw.circle,x=x+temp,y=rep(y,length),radius=rr,
MoreArgs=list(nv=200,col=colors))
text(max(x+temp),y-0.04,round(max,2),pos=1,cex=cex)
y1<-0.01
lines(c(x,max(x+temp)),rep(y-0.02-y1,2))
lines(c(x,x),y-c(y1+0.02,2*y1+0.02))
lines(c(max(x+temp),max(x+temp)),y-c(y1+0.02,2*y1+0.02))
}
invisible(max(x+temp)+0.5*max(rr))
} |
genCheckMD5<-function(path.file,oficial.md5,verbose=FALSE,...){
file.md5<-md5sum(path.file)
file.md5<-toupper(file.md5)
if(file.md5==oficial.md5){
if(verbose){
message(paste0("File md5:",file.md5))
message(paste0("Oficial md5:",oficial.md5))
message("Return TRUE")
}
return(TRUE)
}else{
if(verbose){
message(paste0("File md5:",file.md5))
message(paste0("Oficial md5:",oficial.md5))
message("Return FALSE")
}
return(FALSE)
}
} |
NULL
secretsmanager_cancel_rotate_secret <- function(SecretId) {
op <- new_operation(
name = "CancelRotateSecret",
http_method = "POST",
http_path = "/",
paginator = list()
)
input <- .secretsmanager$cancel_rotate_secret_input(SecretId = SecretId)
output <- .secretsmanager$cancel_rotate_secret_output()
config <- get_config()
svc <- .secretsmanager$service(config)
request <- new_request(svc, op, input, output)
response <- send_request(request)
return(response)
}
.secretsmanager$operations$cancel_rotate_secret <- secretsmanager_cancel_rotate_secret
secretsmanager_create_secret <- function(Name, ClientRequestToken = NULL, Description = NULL, KmsKeyId = NULL, SecretBinary = NULL, SecretString = NULL, Tags = NULL) {
op <- new_operation(
name = "CreateSecret",
http_method = "POST",
http_path = "/",
paginator = list()
)
input <- .secretsmanager$create_secret_input(Name = Name, ClientRequestToken = ClientRequestToken, Description = Description, KmsKeyId = KmsKeyId, SecretBinary = SecretBinary, SecretString = SecretString, Tags = Tags)
output <- .secretsmanager$create_secret_output()
config <- get_config()
svc <- .secretsmanager$service(config)
request <- new_request(svc, op, input, output)
response <- send_request(request)
return(response)
}
.secretsmanager$operations$create_secret <- secretsmanager_create_secret
secretsmanager_delete_resource_policy <- function(SecretId) {
op <- new_operation(
name = "DeleteResourcePolicy",
http_method = "POST",
http_path = "/",
paginator = list()
)
input <- .secretsmanager$delete_resource_policy_input(SecretId = SecretId)
output <- .secretsmanager$delete_resource_policy_output()
config <- get_config()
svc <- .secretsmanager$service(config)
request <- new_request(svc, op, input, output)
response <- send_request(request)
return(response)
}
.secretsmanager$operations$delete_resource_policy <- secretsmanager_delete_resource_policy
secretsmanager_delete_secret <- function(SecretId, RecoveryWindowInDays = NULL, ForceDeleteWithoutRecovery = NULL) {
op <- new_operation(
name = "DeleteSecret",
http_method = "POST",
http_path = "/",
paginator = list()
)
input <- .secretsmanager$delete_secret_input(SecretId = SecretId, RecoveryWindowInDays = RecoveryWindowInDays, ForceDeleteWithoutRecovery = ForceDeleteWithoutRecovery)
output <- .secretsmanager$delete_secret_output()
config <- get_config()
svc <- .secretsmanager$service(config)
request <- new_request(svc, op, input, output)
response <- send_request(request)
return(response)
}
.secretsmanager$operations$delete_secret <- secretsmanager_delete_secret
secretsmanager_describe_secret <- function(SecretId) {
op <- new_operation(
name = "DescribeSecret",
http_method = "POST",
http_path = "/",
paginator = list()
)
input <- .secretsmanager$describe_secret_input(SecretId = SecretId)
output <- .secretsmanager$describe_secret_output()
config <- get_config()
svc <- .secretsmanager$service(config)
request <- new_request(svc, op, input, output)
response <- send_request(request)
return(response)
}
.secretsmanager$operations$describe_secret <- secretsmanager_describe_secret
secretsmanager_get_random_password <- function(PasswordLength = NULL, ExcludeCharacters = NULL, ExcludeNumbers = NULL, ExcludePunctuation = NULL, ExcludeUppercase = NULL, ExcludeLowercase = NULL, IncludeSpace = NULL, RequireEachIncludedType = NULL) {
op <- new_operation(
name = "GetRandomPassword",
http_method = "POST",
http_path = "/",
paginator = list()
)
input <- .secretsmanager$get_random_password_input(PasswordLength = PasswordLength, ExcludeCharacters = ExcludeCharacters, ExcludeNumbers = ExcludeNumbers, ExcludePunctuation = ExcludePunctuation, ExcludeUppercase = ExcludeUppercase, ExcludeLowercase = ExcludeLowercase, IncludeSpace = IncludeSpace, RequireEachIncludedType = RequireEachIncludedType)
output <- .secretsmanager$get_random_password_output()
config <- get_config()
svc <- .secretsmanager$service(config)
request <- new_request(svc, op, input, output)
response <- send_request(request)
return(response)
}
.secretsmanager$operations$get_random_password <- secretsmanager_get_random_password
secretsmanager_get_resource_policy <- function(SecretId) {
op <- new_operation(
name = "GetResourcePolicy",
http_method = "POST",
http_path = "/",
paginator = list()
)
input <- .secretsmanager$get_resource_policy_input(SecretId = SecretId)
output <- .secretsmanager$get_resource_policy_output()
config <- get_config()
svc <- .secretsmanager$service(config)
request <- new_request(svc, op, input, output)
response <- send_request(request)
return(response)
}
.secretsmanager$operations$get_resource_policy <- secretsmanager_get_resource_policy
secretsmanager_get_secret_value <- function(SecretId, VersionId = NULL, VersionStage = NULL) {
op <- new_operation(
name = "GetSecretValue",
http_method = "POST",
http_path = "/",
paginator = list()
)
input <- .secretsmanager$get_secret_value_input(SecretId = SecretId, VersionId = VersionId, VersionStage = VersionStage)
output <- .secretsmanager$get_secret_value_output()
config <- get_config()
svc <- .secretsmanager$service(config)
request <- new_request(svc, op, input, output)
response <- send_request(request)
return(response)
}
.secretsmanager$operations$get_secret_value <- secretsmanager_get_secret_value
secretsmanager_list_secret_version_ids <- function(SecretId, MaxResults = NULL, NextToken = NULL, IncludeDeprecated = NULL) {
op <- new_operation(
name = "ListSecretVersionIds",
http_method = "POST",
http_path = "/",
paginator = list()
)
input <- .secretsmanager$list_secret_version_ids_input(SecretId = SecretId, MaxResults = MaxResults, NextToken = NextToken, IncludeDeprecated = IncludeDeprecated)
output <- .secretsmanager$list_secret_version_ids_output()
config <- get_config()
svc <- .secretsmanager$service(config)
request <- new_request(svc, op, input, output)
response <- send_request(request)
return(response)
}
.secretsmanager$operations$list_secret_version_ids <- secretsmanager_list_secret_version_ids
secretsmanager_list_secrets <- function(MaxResults = NULL, NextToken = NULL, Filters = NULL, SortOrder = NULL) {
op <- new_operation(
name = "ListSecrets",
http_method = "POST",
http_path = "/",
paginator = list()
)
input <- .secretsmanager$list_secrets_input(MaxResults = MaxResults, NextToken = NextToken, Filters = Filters, SortOrder = SortOrder)
output <- .secretsmanager$list_secrets_output()
config <- get_config()
svc <- .secretsmanager$service(config)
request <- new_request(svc, op, input, output)
response <- send_request(request)
return(response)
}
.secretsmanager$operations$list_secrets <- secretsmanager_list_secrets
secretsmanager_put_resource_policy <- function(SecretId, ResourcePolicy, BlockPublicPolicy = NULL) {
op <- new_operation(
name = "PutResourcePolicy",
http_method = "POST",
http_path = "/",
paginator = list()
)
input <- .secretsmanager$put_resource_policy_input(SecretId = SecretId, ResourcePolicy = ResourcePolicy, BlockPublicPolicy = BlockPublicPolicy)
output <- .secretsmanager$put_resource_policy_output()
config <- get_config()
svc <- .secretsmanager$service(config)
request <- new_request(svc, op, input, output)
response <- send_request(request)
return(response)
}
.secretsmanager$operations$put_resource_policy <- secretsmanager_put_resource_policy
secretsmanager_put_secret_value <- function(SecretId, ClientRequestToken = NULL, SecretBinary = NULL, SecretString = NULL, VersionStages = NULL) {
op <- new_operation(
name = "PutSecretValue",
http_method = "POST",
http_path = "/",
paginator = list()
)
input <- .secretsmanager$put_secret_value_input(SecretId = SecretId, ClientRequestToken = ClientRequestToken, SecretBinary = SecretBinary, SecretString = SecretString, VersionStages = VersionStages)
output <- .secretsmanager$put_secret_value_output()
config <- get_config()
svc <- .secretsmanager$service(config)
request <- new_request(svc, op, input, output)
response <- send_request(request)
return(response)
}
.secretsmanager$operations$put_secret_value <- secretsmanager_put_secret_value
secretsmanager_restore_secret <- function(SecretId) {
op <- new_operation(
name = "RestoreSecret",
http_method = "POST",
http_path = "/",
paginator = list()
)
input <- .secretsmanager$restore_secret_input(SecretId = SecretId)
output <- .secretsmanager$restore_secret_output()
config <- get_config()
svc <- .secretsmanager$service(config)
request <- new_request(svc, op, input, output)
response <- send_request(request)
return(response)
}
.secretsmanager$operations$restore_secret <- secretsmanager_restore_secret
secretsmanager_rotate_secret <- function(SecretId, ClientRequestToken = NULL, RotationLambdaARN = NULL, RotationRules = NULL) {
op <- new_operation(
name = "RotateSecret",
http_method = "POST",
http_path = "/",
paginator = list()
)
input <- .secretsmanager$rotate_secret_input(SecretId = SecretId, ClientRequestToken = ClientRequestToken, RotationLambdaARN = RotationLambdaARN, RotationRules = RotationRules)
output <- .secretsmanager$rotate_secret_output()
config <- get_config()
svc <- .secretsmanager$service(config)
request <- new_request(svc, op, input, output)
response <- send_request(request)
return(response)
}
.secretsmanager$operations$rotate_secret <- secretsmanager_rotate_secret
secretsmanager_tag_resource <- function(SecretId, Tags) {
op <- new_operation(
name = "TagResource",
http_method = "POST",
http_path = "/",
paginator = list()
)
input <- .secretsmanager$tag_resource_input(SecretId = SecretId, Tags = Tags)
output <- .secretsmanager$tag_resource_output()
config <- get_config()
svc <- .secretsmanager$service(config)
request <- new_request(svc, op, input, output)
response <- send_request(request)
return(response)
}
.secretsmanager$operations$tag_resource <- secretsmanager_tag_resource
secretsmanager_untag_resource <- function(SecretId, TagKeys) {
op <- new_operation(
name = "UntagResource",
http_method = "POST",
http_path = "/",
paginator = list()
)
input <- .secretsmanager$untag_resource_input(SecretId = SecretId, TagKeys = TagKeys)
output <- .secretsmanager$untag_resource_output()
config <- get_config()
svc <- .secretsmanager$service(config)
request <- new_request(svc, op, input, output)
response <- send_request(request)
return(response)
}
.secretsmanager$operations$untag_resource <- secretsmanager_untag_resource
secretsmanager_update_secret <- function(SecretId, ClientRequestToken = NULL, Description = NULL, KmsKeyId = NULL, SecretBinary = NULL, SecretString = NULL) {
op <- new_operation(
name = "UpdateSecret",
http_method = "POST",
http_path = "/",
paginator = list()
)
input <- .secretsmanager$update_secret_input(SecretId = SecretId, ClientRequestToken = ClientRequestToken, Description = Description, KmsKeyId = KmsKeyId, SecretBinary = SecretBinary, SecretString = SecretString)
output <- .secretsmanager$update_secret_output()
config <- get_config()
svc <- .secretsmanager$service(config)
request <- new_request(svc, op, input, output)
response <- send_request(request)
return(response)
}
.secretsmanager$operations$update_secret <- secretsmanager_update_secret
secretsmanager_update_secret_version_stage <- function(SecretId, VersionStage, RemoveFromVersionId = NULL, MoveToVersionId = NULL) {
op <- new_operation(
name = "UpdateSecretVersionStage",
http_method = "POST",
http_path = "/",
paginator = list()
)
input <- .secretsmanager$update_secret_version_stage_input(SecretId = SecretId, VersionStage = VersionStage, RemoveFromVersionId = RemoveFromVersionId, MoveToVersionId = MoveToVersionId)
output <- .secretsmanager$update_secret_version_stage_output()
config <- get_config()
svc <- .secretsmanager$service(config)
request <- new_request(svc, op, input, output)
response <- send_request(request)
return(response)
}
.secretsmanager$operations$update_secret_version_stage <- secretsmanager_update_secret_version_stage
secretsmanager_validate_resource_policy <- function(SecretId = NULL, ResourcePolicy) {
op <- new_operation(
name = "ValidateResourcePolicy",
http_method = "POST",
http_path = "/",
paginator = list()
)
input <- .secretsmanager$validate_resource_policy_input(SecretId = SecretId, ResourcePolicy = ResourcePolicy)
output <- .secretsmanager$validate_resource_policy_output()
config <- get_config()
svc <- .secretsmanager$service(config)
request <- new_request(svc, op, input, output)
response <- send_request(request)
return(response)
}
.secretsmanager$operations$validate_resource_policy <- secretsmanager_validate_resource_policy |
na_plot = function(data, palette = ez_col) {
cols = names(data)
data = data %>%
ungroup %>%
mutate_all(function(x) ifelse(is.na(x), "NA", "Value"))
data$.row = seq_len(nrow(data))
tidyr::gather(data, column, value, -.row) %>%
mutate(column = factor(column, cols),
value = factor(value, c("Value", "NA"))) %>%
ggplot() +
geom_tile(aes(column, .row,
fill = value,
colour = value)) +
scale_fill_manual(NULL, values = palette(2)) +
scale_colour_manual(NULL, values = c(NA, palette(2)[2])) +
scale_y_reverse() +
scale_x_discrete(position = "top") +
xlab(NULL) +
ylab("row") +
theme_minimal() +
coord_cartesian(expand = FALSE) +
theme(axis.text.x = element_text(angle = 90,
hjust = 0,
vjust = 0.38))
}
globalVariables(c("column", "value", ".row")) |
xbio <-
structure(list(`1971` = c(1371500, 1367850, 1383830, 1433910,
1454380, 1504840, 1475500, 1318360, 1206740, 1297190, 1337360,
1349590, 1371760, 1375640, 1400150, 1394810, 1384870, 1429970,
1311740, 1340750, 1399290, 1365930, 1346000, 1239810, 1305410,
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1430720, 1493640, 1449010, 1508920, 1510880, 1463250, 1431290,
1423290, 1404940, 1323510, 1377750, 1318550, 1349120, 1431920,
1436070, 1366540, 1282990, 1320490, 1334270, 1407460, 1391460,
1454810, 1432740, 1407470, 1424290, 1377040, 1422880, 1391310,
1378690, 1357190, 1368370, 1390470, 1386700, 1410740, 1326580,
1266200, 1344450, 1379510, 1400780, 1443520, 1416650, 1390370,
1360140, 1365050, 1321770, 1262260, 1365510, 1420030, 1312290,
1273080, 1278780, 1358050, 1333310, 1301200, 1288300, 1327560,
1371940, 1428440, 1454630, 1429010, 1330180, 1365590, 1313130,
1403490, 1326850, 1384740, 1427880, 1377680, 1314850, 1487140,
1511580, 1463610, 1451030, 1338750, 1362760, 1364520, 1336710,
1441480, 1511930, 1486610, 1591010, 1643700, 1610980, 1660020,
1384740, 1417060, 1343860, 1259360, 1201970, 1181850, 1213580,
1123790, 1215320, 1308440, 1288760, 1311730, 1304310, 1246480,
1219900, 1196720, 1305850, 1351550, 1322300, 1306110, 1140290,
1093450, 1053660, 1133470, 1089810, 1178960, 1233320, 1229060,
1291870, 1339520, 1246100, 1254120, 1254770, 1204480, 1311720,
1331770, 1348950, 1449920, 1347210, 1310810, 1242080, 1254720,
1417450, 1475100, 1344060, 1411600, 1470520, 1399340, 1414800,
1450160, 1432880, 1361020, 1345200, 1284680, 1333600, 1387760,
1452380, 1322220, 1259120, 1224120, 1357550, 1330230, 1359120,
1366840, 1267840, 1188160, 1241830, 1272120, 1206620, 1244530,
1249010, 1311860, 1339810, 1336150, 1328220, 1358710, 1301110,
1325740, 1334520, 1326320, 1312590, 1297930, 1406580, 1349370,
1420680, 1428260, 1404660, 1404100, 1381890, 1387210, 1454710,
1369910, 1310440, 1324010, 1209560, 1294350, 1275120, 1334180,
1210030, 1260240, 1244470, 1275750, 1312920, 1440680, 1362460,
1381060, 1315030, 1252720, 1281560, 1316670, 1349980, 1418020,
1503190, 1438470, 1372050, 1332850, 1274980, 1249570, 1289110,
1277690, 1411550, 1386890, 1348410, 1492390, 1370940, 1319910,
1325090, 1293000, 1236100, 1361670, 1353140, 1437870, 1376290,
1332430, 1384330, 1458970, 1375390, 1382700, 1385690, 1431820,
1535930, 1509110, 1532370, 1498030, 1427480, 1495850, 1406940,
1484430, 1409130, 1359060, 1240610, 1437740, 1337950, 1292180,
1400040, 1299780, 1462010, 1508210, 1480660, 1344030, 1378980,
1403400, 1347040, 1237900, 1316720, 1306540, 1206380, 1283480,
1312430, 1331550, 1320010, 1388340, 1488440, 1362220, 1377850,
1359470, 1410460, 1384770, 1389830, 1389710, 1357870, 1377620,
1322770, 1372560, 1324320, 1376170, 1414580, 1367590, 1380910,
1357130, 1371900, 1325570, 1367060, 1373950, 1414290, 1408710,
1478790, 1459330, 1355060, 1377180, 1334070, 1266170, 1245630,
1281240, 1322130, 1316880, 1360830, 1376870, 1227130, 1264820,
1269690, 1265140, 1298420, 1308750, 1333440, 1334430, 1285410,
1329910, 1340770, 1360030, 1316020, 1311240, 1314450, 1406170,
1301780, 1279020, 1426180, 1449690, 1291450, 1341810, 1365900,
1281080, 1238620, 1275890, 1303960, 1239530, 1236160, 1251940,
1323410, 1327890, 1296770, 1330270, 1282870, 1205970, 1211310,
1245080, 1394920, 1416110, 1473840, 1383650, 1392820, 1359040,
1369170, 1378310, 1429870, 1382270, 1283720, 1315670, 1283720,
1216090, 1178820, 1216040, 1296950, 1443660, 1413520, 1546680,
1451410, 1543090, 1493720, 1504770, 1455570, 1414410, 1583990,
1583900, 1473910, 1410970, 1471570, 1401890, 1316290, 1338150,
1369580, 1445310, 1333850, 1294560, 1442610, 1567370, 1562430,
1573210, 1608900, 1540420, 1481350, 1411200, 1397330, 1432320,
1423220, 1400920, 1308700, 1373540, 1349420, 1306560, 1336980,
1367370, 1403660, 1403140, 1396600, 1234600, 1321540, 1333340,
1294340, 1403360, 1393220, 1270380, 1326550, 1380410, 1548330,
1405620, 1519780, 1323360, 1464950, 1480840, 1355190, 1264250,
1287610, 1349160, 1322870, 1288830, 1215720, 1279360, 1157720,
1252240, 1304020, 1256630, 1240960, 1276990, 1316140, 1380370,
1385800, 1439640, 1394340, 1306020, 1258650, 1312650, 1425070,
1349290, 1369400, 1371030, 1322500, 1374240, 1334400, 1282620,
1336360, 1431110, 1495150, 1409400, 1376570, 1428690, 1364260,
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1295910, 1336980, 1340030, 1375480, 1445880, 1408630, 1372180,
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1327540, 1252630, 1409440, 1397370, 1303310, 1366560, 1324510,
1362210, 1353290, 1302080, 1387580, 1262620, 1306040, 1245060,
1186410, 1313640, 1335630, 1366520, 1429310, 1519970, 1460680,
1546700, 1487220, 1432900, 1408440, 1409470, 1460080, 1395110,
1368400, 1447600, 1457230, 1443130, 1389770, 1393570, 1460840,
1444430, 1343000, 1190130, 1280560, 1247000, 1185050, 1206700,
1286380, 1333980, 1408090, 1400520, 1384590, 1388120, 1296960,
1256370, 1301070, 1369230, 1390790, 1474950, 1402070, 1444760,
1357980, 1438730, 1481910, 1509580, 1361030, 1351200, 1444840,
1404560, 1402050, 1437770, 1480750, 1392490, 1313080, 1328020,
1256950, 1311110, 1264710, 1413830, 1397510, 1326120, 1327880,
1317340, 1313280), `1972` = c(1173380, 1141220, 1161050, 1191650,
1185550, 1242840, 1239870, 1110610, 1023190, 1131690, 1144820,
1159280, 1166890, 1145640, 1213990, 1181120, 1165540, 1202870,
1113200, 1152280, 1148370, 1118610, 1141090, 1040130, 1097300,
1170280, 1143410, 1139080, 1183230, 1199640, 1238630, 1152590,
1190750, 1261160, 1202230, 1285020, 1265330, 1291860, 1199250,
1189300, 1200090, 1108130, 1142730, 1133130, 1114630, 1250130,
1246550, 1168870, 1050500, 1084490, 1082210, 1137280, 1131820,
1198480, 1193780, 1154250, 1192010, 1165140, 1210920, 1225210,
1219340, 1136090, 1180310, 1165480, 1177260, 1202140, 1106110,
1101420, 1166230, 1202680, 1235420, 1285100, 1213890, 1216810,
1193330, 1181160, 1135940, 1053410, 1136710, 1221990, 1128220,
1139280, 1176110, 1251770, 1196150, 1108110, 1081640, 1110200,
1145110, 1229380, 1291990, 1289340, 1217480, 1283090, 1245890,
1284610, 1187740, 1163520, 1180670, 1157720, 1101970, 1319950,
1338390, 1296840, 1299400, 1231930, 1197700, 1208070, 1174730,
1280000, 1321030, 1342770, 1409530, 1471410, 1419420, 1472400,
1175040, 1257820, 1175460, 1148540, 1060350, 1041850, 1089370,
1026550, 1043100, 1127390, 1069690, 1105410, 1152840, 1102590,
1080130, 1050570, 1164790, 1170110, 1206360, 1203350, 1040230,
1060510, 1025720, 1025610, 979663, 1066470, 1090100, 1038280,
1093060, 1165230, 1051530, 1066250, 1052770, 1022050, 1122070,
1205630, 1259670, 1255710, 1161990, 1134590, 1129560, 1136060,
1256330, 1320120, 1162580, 1198400, 1303560, 1193830, 1218890,
1238990, 1222000, 1192070, 1166310, 1081580, 1120730, 1174580,
1244110, 1133900, 1077400, 1017610, 1171020, 1168900, 1172290,
1169860, 1171440, 1050470, 1136150, 1167610, 1095510, 1159370,
1047840, 1083350, 1114740, 1091450, 1103010, 1122820, 1101390,
1155200, 1136490, 1149690, 1163370, 1187550, 1233280, 1157370,
1203800, 1266810, 1241710, 1221050, 1189010, 1234180, 1271630,
1199230, 1123360, 1158500, 1066140, 1147740, 1148540, 1171770,
1059910, 1105440, 1044150, 1064160, 1171300, 1309140, 1238690,
1228560, 1192660, 1097710, 1143940, 1139140, 1147690, 1209810,
1263940, 1225230, 1209070, 1158900, 1118530, 1090420, 1103540,
1091620, 1204660, 1212940, 1160970, 1280720, 1157930, 1134400,
1176680, 1086060, 1054710, 1230310, 1174950, 1220530, 1187790,
1163760, 1221460, 1302160, 1196360, 1207520, 1209690, 1304390,
1381720, 1368220, 1361230, 1293840, 1267630, 1310690, 1250030,
1301950, 1234970, 1164180, 1122860, 1267740, 1214790, 1121500,
1208160, 1165220, 1264620, 1294340, 1299380, 1186200, 1207200,
1187010, 1112360, 1062010, 1093810, 1092640, 1004740, 1029530,
1118200, 1191230, 1113560, 1179450, 1258100, 1149110, 1162030,
1136910, 1187020, 1135720, 1161840, 1183490, 1182200, 1167710,
1119690, 1157900, 1172250, 1217340, 1266030, 1207880, 1185970,
1137630, 1168920, 1127460, 1176680, 1161860, 1203780, 1183080,
1225150, 1229470, 1127510, 1102960, 1105260, 1079150, 1088450,
1138700, 1148570, 1153820, 1138050, 1223870, 1112250, 1153510,
1190150, 1118450, 1142310, 1149580, 1169060, 1175300, 1119430,
1148910, 1114030, 1157070, 1108020, 1108250, 1142270, 1261260,
1141950, 1106350, 1244200, 1282330, 1140690, 1196470, 1217470,
1165590, 1119800, 1118790, 1148360, 1090910, 1076010, 1054660,
1128600, 1105620, 1056690, 1109170, 1090140, 1057650, 1072090,
1088480, 1222560, 1269670, 1322240, 1187380, 1206910, 1196210,
1155860, 1171760, 1211950, 1163800, 1071080, 1126040, 1094020,
1042830, 986440, 1003250, 1056540, 1202340, 1189700, 1301630,
1256350, 1356670, 1339670, 1307500, 1263090, 1232810, 1312060,
1352790, 1276660, 1189390, 1273510, 1180220, 1160770, 1144580,
1169990, 1198360, 1148300, 1065760, 1247850, 1335890, 1367690,
1368940, 1398280, 1304300, 1293700, 1178890, 1143280, 1205040,
1230410, 1181590, 1072150, 1156210, 1124960, 1071270, 1075880,
1143180, 1217630, 1236130, 1247540, 1059280, 1084130, 1115410,
1137140, 1237200, 1195450, 1089540, 1141030, 1232520, 1380100,
1215230, 1343360, 1197440, 1326980, 1285080, 1143090, 1107720,
1090820, 1162710, 1173040, 1113740, 1032030, 1109850, 1033190,
1096230, 1127880, 1084120, 1084970, 1102950, 1106510, 1188560,
1164160, 1184780, 1153640, 1111760, 1052200, 1080610, 1162900,
1104020, 1159920, 1180580, 1091570, 1154180, 1131450, 1080980,
1151130, 1247090, 1285680, 1211720, 1221500, 1236310, 1157120,
1199370, 1131020, 1274500, 1293830, 1266770, 1271870, 1400210,
1371040, 1252430, 1208480, 1175570, 1230220, 1188110, 1221020,
1243910, 1141780, 1122260, 1094290, 1039200, 1064330, 1128820,
1100830, 1113970, 1083650, 1019310, 1090850, 1077690, 1042100,
1081980, 1104770, 1074490, 1146630, 1174340, 1160920, 1132140,
1147570, 1205010, 1184240, 1200580, 1257470, 1224630, 1161770,
1154430, 1151230, 1109240, 1073120, 1169760, 1195000, 1204090,
1130210, 1256660, 1263490, 1336420, 1230390, 1207880, 1129050,
1239960, 1162110, 1187240, 1247630, 1246820, 1194490, 1148370,
1289310, 1204380, 1063890, 1139210, 1174790, 1126360, 1139990,
1084220, 1078070, 1046930, 1070110, 1073020, 1033960, 1127890,
1131740, 1069060, 1049230, 991962, 1119480, 1142450, 1158500,
1174100, 1225630, 1184700, 1093020, 1135150, 1148570, 1153260,
1096450, 1081340, 1082720, 1042320, 1065960, 1118590, 1196550,
1184910, 1115510, 1083550, 1080310, 1124930, 1181370, 1199310,
1279160, 1245670, 1330220, 1251180, 1179020, 1190130, 1161190,
1093490, 1111690, 1076270, 1053280, 1040530, 992595, 996419,
1057980, 1146820, 1117620, 1168710, 1215560, 1203540, 1178470,
1100560, 1139330, 1200050, 1165680, 1042650, 1177390, 1290070,
1237650, 1198610, 1142700, 1156780, 1127910, 1153210, 1137220,
1234510, 1294110, 1275770, 1292250, 1168550, 1215110, 1322510,
1251600, 1253170, 1115690, 1121780, 1216540, 1211090, 1205350,
1167410, 1171930, 1242780, 1243910, 1212460, 1187490, 1245390,
1201150, 1207590, 1225290, 1173970, 1152840, 1220370, 1296500,
1239550, 1279930, 1321680, 1229670, 1208050, 1159730, 1196170,
1254520, 1202320, 1140860, 1168950, 1071610, 1065230, 1083290,
1023620, 1056260, 1115600, 1077770, 1131370, 1141250, 1043950,
1123030, 1132330, 1191300, 1114970, 1071600, 1056740, 1166330,
1119240, 1124300, 1042420, 1131510, 1180400, 1185550, 1235860,
1283420, 1256380, 1189060, 1098760, 1114800, 1169140, 1183670,
1135950, 1192950, 1200760, 1155060, 1179890, 1205770, 1179200,
1191540, 1209470, 1221270, 1202960, 1229950, 1203920, 1219630,
1250320, 1154200, 1096200, 1111260, 1140680, 1154280, 1236090,
1230280, 1258240, 1183770, 1226220, 1249710, 1237290, 1256420,
1201250, 1259290, 1226650, 1318540, 1420120, 1266310, 1212340,
1216080, 1156610, 1271490, 1191930, 1222920, 1122220, 1077820,
1073670, 1061790, 1159810, 1132220, 1134390, 1107310, 1075040,
1030560, 956488, 1060540, 1103040, 1146590, 1100180, 1079290,
1256210, 1367740, 1332150, 1265560, 1227760, 1139860, 1103260,
1043150, 1182220, 1215580, 1183500, 1199410, 1214850, 1197840,
1208730, 1262670, 1167630, 1102760, 1113330, 1149420, 1068310,
1075120, 1139050, 1136430, 1210400, 1180580, 1157130, 1117070,
1096790, 1068660, 1118700, 1238210, 1380980, 1283340, 1287990,
1286570, 1213060, 1294660, 1274570, 1214800, 1125550, 1276450,
1300170, 1278880, 1228740, 1153540, 1151200, 1148450, 1217690,
1212210, 1146100, 1178480, 1188430, 1160930, 1123240, 1212610,
1177520, 1196650, 1156540, 1132360, 1132520, 1164590, 1235580,
1275770, 1291400, 1260630, 1194260, 1162840, 1179220, 1121450,
1143920, 1104480, 1111870, 1135440, 1137690, 1179410, 1190270,
1222800, 1276090, 1236350, 1137450, 1093300, 1060000, 1148620,
1188760, 1153670, 1200340, 1147860, 1124170, 1152910, 1076710,
1140850, 1221840, 1219650, 1248240, 1203940, 1219720, 1199240,
1116600, 1122260, 1171430, 1162210, 1139280, 1143200, 1201500,
1198040, 1301390, 1371020, 1356250, 1458450, 1356300, 1266870,
1168700, 1071580, 1100620, 1044910, 1088260, 1068810, 1097410,
1001210, 1050590, 1223870, 1213950, 1311870, 1206010, 1256000,
1218130, 1229840, 1266060, 1265310, 1252410, 1277530, 1138130,
1209530, 1220930, 1128200, 1109800, 1127870, 1200850, 1184160,
1191790, 1171040, 1079540, 1118640, 1032630, 1086690, 1158110,
1060620, 1085220, 1172710, 1210530, 1171480, 1229830, 1178510,
1260660, 1179500, 1180300, 1065310, 1059480, 1098210, 1046650,
1066600, 1130110, 1177160, 1086020, 1132860, 1076850, 1026300,
1089250, 1168590, 1163230, 1125920, 1189190, 1197280, 1337620,
1346000, 1318150, 1371070, 1283300, 1270570, 1267790, 1251500,
1171190, 1107960, 1246620, 1202790, 1161370, 1199350, 1128400,
1199170, 1170580, 1123220, 1192170, 1091010, 1107290, 1048210,
976980, 1081080, 1090040, 1113000, 1165830, 1248310, 1200140,
1299160, 1202840, 1165500, 1184580, 1198460, 1222330, 1158700,
1162470, 1269320, 1305530, 1228970, 1200280, 1238620, 1317370,
1265980, 1193420, 1063160, 1128700, 1105260, 1061890, 1065430,
1137080, 1170220, 1241780, 1250240, 1232560, 1226410, 1102440,
1095870, 1144350, 1168190, 1173730, 1205910, 1177150, 1195400,
1109290, 1168320, 1234110, 1283190, 1169140, 1142650, 1217420,
1214880, 1210610, 1233120, 1269440, 1224290, 1136010, 1168050,
1113780, 1121160, 1087690, 1251310, 1191850, 1143640, 1173370,
1109680, 1117640), `1973` = c(894552, 898144, 932657, 926276,
907961, 926415, 949296, 834686, 731534, 838377, 887892, 934337,
904397, 923097, 974339, 940583, 914602, 922635, 833814, 880560,
865803, 828105, 881052, 847332, 894222, 934530, 924121, 912166,
917277, 908321, 946123, 834354, 897757, 975889, 921171, 978653,
949323, 982315, 894020, 879388, 911117, 843353, 844825, 864576,
856756, 945724, 939076, 886600, 762069, 776428, 772242, 805249,
800401, 839122, 863267, 847580, 867620, 873715, 917328, 960268,
939178, 824441, 861692, 807102, 835317, 903473, 790076, 829938,
846826, 899077, 941944, 1008930, 944875, 930108, 912958, 871453,
857004, 782515, 844872, 926911, 845122, 852950, 883550, 941776,
891807, 826821, 827245, 848992, 913059, 968120, 1037980, 1017000,
955481, 1050360, 1003830, 1001140, 905272, 879290, 861870, 856881,
801810, 1018790, 1032470, 982557, 966122, 909410, 870537, 862786,
845875, 946927, 989184, 1035970, 1077900, 1102310, 1049150, 1096330,
881618, 958156, 855165, 844796, 782387, 810780, 862611, 813112,
804976, 901659, 852785, 927055, 960492, 917732, 868926, 840298,
901419, 869461, 955409, 974315, 848850, 904146, 819081, 810266,
801679, 864837, 864697, 809515, 872016, 900903, 848971, 884416,
860525, 840996, 904040, 1012120, 1018100, 974666, 915546, 892632,
896398, 893016, 952502, 1010980, 863228, 889711, 998234, 884229,
900272, 928160, 914630, 917410, 884512, 793175, 832204, 881324,
963686, 885814, 807475, 762962, 879401, 875029, 868467, 863760,
876642, 786880, 837501, 868425, 855607, 877941, 767211, 848003,
848597, 821996, 835472, 834242, 856850, 919391, 891824, 882723,
922340, 960693, 986764, 925368, 944537, 967816, 923937, 918709,
877861, 952420, 942937, 872594, 820391, 864638, 776192, 847593,
896662, 920399, 840411, 867796, 784132, 791289, 901442, 1053150,
996017, 1007210, 976279, 873897, 906141, 892062, 870014, 896953,
984871, 955180, 946481, 907632, 878100, 858240, 832901, 840961,
916383, 958796, 868545, 978292, 901420, 885570, 910275, 815180,
773657, 960014, 895368, 931867, 896270, 889402, 950888, 1048700,
960653, 960238, 929535, 1016640, 1046270, 1039390, 1028710, 953437,
963969, 991154, 956062, 999133, 961948, 884420, 859582, 980181,
943428, 873177, 938643, 890740, 1003000, 1020990, 1019110, 929339,
943300, 889305, 813649, 797179, 806140, 809812, 717890, 736908,
842756, 936318, 841132, 897418, 946256, 895654, 891308, 867780,
916058, 864601, 888850, 898294, 891123, 854542, 855373, 883395,
904046, 945591, 983642, 954900, 914970, 893014, 898600, 874344,
881149, 857064, 882891, 862758, 889305, 925644, 839588, 828394,
827344, 805709, 827472, 866289, 879537, 897505, 878047, 975736,
911175, 964654, 1013420, 930437, 906757, 899641, 931413, 966602,
848030, 851861, 824598, 873286, 822965, 827839, 865395, 1000160,
875788, 823947, 926873, 974325, 889391, 944253, 974035, 922213,
879130, 878417, 898369, 838414, 816021, 820286, 885631, 873658,
813166, 858187, 818801, 818591, 816336, 800601, 927212, 976570,
1052080, 972140, 958317, 942906, 869167, 875193, 888103, 859230,
786336, 868979, 846984, 791600, 735538, 744752, 781016, 883945,
893808, 949145, 997586, 1024970, 1009790, 979177, 954473, 931282,
949592, 1028640, 979201, 886338, 942731, 858474, 876281, 867076,
909965, 889724, 887271, 782474, 935167, 1000120, 1041620, 1019340,
1073760, 1004000, 1001880, 890781, 844059, 935189, 971096, 988721,
861874, 894066, 856345, 796403, 777126, 845801, 935641, 974741,
1005630, 848575, 835648, 860001, 888363, 967667, 927266, 833206,
894067, 980546, 1084310, 935549, 1023010, 972717, 1065610, 1021690,
886702, 873377, 856133, 901479, 912108, 845627, 797715, 853230,
789945, 856817, 876359, 819805, 811823, 832118, 817014, 880319,
853358, 853583, 847763, 829121, 794565, 791852, 875216, 839535,
873127, 953403, 854077, 904384, 849029, 823627, 856068, 934044,
950133, 893486, 968968, 944619, 876366, 883576, 846953, 948943,
990567, 931189, 952185, 1073520, 1062600, 964828, 923070, 893133,
926616, 891539, 929581, 937746, 864461, 824480, 815483, 763324,
770467, 849842, 814899, 829853, 808116, 760258, 823730, 806793,
751928, 759521, 805290, 839321, 892633, 914465, 928222, 902376,
927061, 989143, 943608, 929907, 988884, 940281, 884700, 900468,
920082, 875893, 835555, 926211, 931461, 953688, 887798, 979261,
979760, 1041930, 943691, 914167, 843872, 937239, 883534, 915430,
958529, 967767, 909722, 928841, 1051030, 948571, 834302, 906260,
909392, 859337, 875444, 810849, 835734, 776561, 778057, 779330,
772716, 822081, 840610, 782389, 777441, 746123, 874736, 896896,
918384, 911018, 966399, 918544, 844679, 838008, 882621, 871058,
826418, 803205, 828893, 797812, 814954, 839235, 921938, 928325,
860349, 823836, 809733, 896743, 927801, 925274, 957480, 930814,
1000180, 927794, 886438, 937403, 889072, 834721, 827400, 801156,
800080, 784736, 742594, 786959, 802352, 884233, 857400, 887866,
930075, 982037, 954318, 875225, 929452, 975430, 940895, 810077,
905077, 997069, 954757, 958142, 910289, 887732, 861509, 889936,
843021, 937503, 991582, 967108, 981515, 876365, 911871, 1007050,
942993, 964259, 871547, 883241, 960939, 961500, 940598, 906813,
885512, 954731, 979074, 924883, 870312, 904754, 879852, 901713,
903794, 860014, 863035, 901784, 938203, 926373, 975068, 1001690,
949590, 921626, 867870, 915886, 953108, 900196, 852347, 855502,
794029, 772328, 799737, 751154, 772766, 846392, 819020, 871602,
882973, 783569, 825901, 828112, 901457, 845541, 771043, 741021,
848690, 823605, 818014, 779932, 881610, 887413, 890656, 948854,
949389, 989570, 934100, 852021, 849935, 876029, 893864, 853023,
916872, 937621, 890985, 898793, 927745, 922561, 938497, 944509,
957210, 946398, 968552, 962628, 976503, 949857, 897277, 840639,
847528, 907331, 881622, 963577, 924533, 965213, 891612, 921132,
936640, 946511, 965870, 913508, 963461, 924620, 1046510, 1102160,
958631, 948131, 940543, 881920, 972285, 935635, 957661, 848696,
792285, 784066, 775972, 846035, 847222, 861643, 825843, 804215,
783535, 746538, 805511, 846033, 904121, 873461, 838342, 987289,
1051620, 1025850, 960499, 928971, 866311, 836031, 788859, 936905,
945115, 931884, 934685, 940298, 939290, 946743, 980640, 944276,
862623, 887186, 880350, 797926, 805748, 861215, 852845, 908314,
871825, 840614, 820997, 798454, 753433, 824826, 917366, 1022930,
983596, 1040050, 988460, 989591, 1016020, 969426, 929834, 857989,
987304, 1036920, 1010850, 968143, 895847, 908911, 870154, 919056,
892599, 871939, 893064, 903822, 905300, 872279, 927350, 884568,
927936, 876602, 861683, 856270, 898795, 969596, 1003990, 1020230,
987323, 948576, 909909, 909895, 892644, 907502, 855106, 832951,
848142, 841893, 880935, 886619, 921927, 929824, 910788, 849562,
825556, 787281, 838969, 895218, 869362, 900244, 841417, 864009,
863837, 821700, 831111, 932906, 931075, 1004870, 953928, 954418,
911307, 835996, 858109, 901014, 912241, 873110, 902186, 980430,
1001850, 1096960, 1121270, 1075600, 1145360, 1057110, 1012350,
913096, 784313, 856142, 770730, 858429, 835060, 843354, 760964,
779297, 935861, 910876, 1000770, 949373, 935383, 923337, 942558,
954693, 982093, 990659, 1028090, 884857, 925208, 929548, 860691,
887475, 897404, 939026, 922518, 948047, 907708, 828949, 871009,
776655, 810717, 838331, 775013, 813206, 893527, 921543, 893190,
950639, 930094, 997823, 908168, 874622, 814281, 810539, 857277,
864066, 859128, 888060, 927483, 842217, 896968, 855007, 857946,
915051, 977345, 916626, 919050, 944867, 942391, 1063100, 1075320,
1002690, 1086830, 978254, 1022930, 987003, 983675, 941135, 861360,
995302, 941827, 921903, 981068, 901965, 944020, 936647, 911078,
964366, 891116, 888305, 827643, 787206, 847289, 842232, 845075,
861432, 942814, 908943, 967830, 870890, 865557, 866343, 862892,
899875, 860327, 858857, 986935, 1044550, 929046, 928434, 967333,
1048220, 968486, 917666, 842376, 888533, 848598, 799335, 787452,
845547, 877765, 950573, 947226, 940203, 920329, 786839, 828746,
890370, 897487, 878073, 913058, 887961, 887765, 776666, 836585,
873275, 908401, 821024, 827524, 909254, 957485, 948491, 940667,
969718, 971373, 870073, 907595, 852585, 838231, 847428, 955233,
908287, 880829, 892895, 890657, 878303), `1974` = c(999547, 1015650,
1054840, 1030800, 976371, 975859, 1054580, 940445, 865316, 908639,
924488, 961415, 916633, 955731, 1020480, 1056780, 1006910, 1058350,
919273, 971699, 977095, 878085, 968184, 941520, 1050500, 1045740,
1055830, 1020990, 1035780, 1051240, 1107350, 1044180, 1084270,
1153860, 1059900, 1094830, 1010120, 1074150, 1049310, 948889,
974649, 946535, 1042310, 961443, 1034590, 1123580, 1084300, 1042100,
971366, 1059850, 951338, 959588, 931942, 919307, 942267, 929521,
963099, 988165, 1032380, 1095670, 1078460, 1019650, 1003660,
932001, 966893, 1007340, 925143, 995175, 925296, 979178, 1032810,
1045580, 1005670, 944919, 972425, 946569, 978004, 970739, 955483,
1016400, 1005200, 972110, 972045, 1005610, 989632, 967511, 989973,
1042550, 1082590, 1102060, 1136880, 1078220, 1015320, 1119990,
1094850, 1064820, 984520, 986825, 983338, 992139, 868480, 1076310,
1111370, 1076820, 1067590, 1040070, 1054560, 1064900, 1035120,
1037190, 1077210, 1135210, 1133150, 1150760, 1080470, 1116600,
1012270, 1046690, 982889, 1021180, 939511, 979031, 1005400, 969407,
921514, 984637, 984563, 1084680, 1097780, 1065450, 1025250, 951125,
1013790, 977382, 1089530, 1150760, 1057880, 1123010, 999056,
1000960, 967970, 1000730, 984140, 949760, 986537, 980834, 989094,
989564, 998203, 1014800, 1067530, 1100660, 1123490, 1063420,
1032580, 1015220, 1042250, 1020780, 1059100, 1100050, 954349,
997602, 1109940, 1022300, 1015930, 1036130, 1046790, 1053760,
1049420, 1053130, 1040900, 1022140, 1093190, 1043800, 958877,
888028, 919556, 917869, 941637, 958033, 963583, 869422, 930604,
958854, 975791, 1002710, 875484, 916982, 936618, 900488, 903560,
879105, 937533, 1007150, 971098, 944429, 1005010, 1042450, 1109190,
1069520, 1082230, 1112370, 1045470, 1039160, 998018, 1012870,
993801, 918000, 937813, 988679, 934820, 992161, 1022160, 1042070,
997704, 1047390, 976490, 941610, 1029710, 1149120, 1085040, 1128880,
1111600, 994410, 1075480, 1060310, 1009360, 973035, 1057120,
1080480, 1048500, 970913, 997229, 992503, 969905, 994411, 1074700,
1121070, 1021060, 1085780, 960508, 992315, 1036160, 945674, 948582,
1080690, 991752, 992118, 958191, 979611, 1043610, 1114380, 1130630,
1135650, 1109950, 1117600, 1098700, 1076550, 1060170, 1053760,
1054910, 1082960, 1077030, 1076620, 1054880, 990440, 965029,
1048050, 1044990, 972012, 992925, 991428, 1033790, 1057650, 1083870,
1013010, 1000130, 963077, 958465, 934964, 952959, 990050, 942330,
871616, 993267, 1109770, 993606, 1008130, 999828, 1001680, 967621,
992467, 971964, 925938, 953144, 958003, 1030420, 977054, 978299,
959793, 972560, 1052700, 1093080, 1082560, 1051610, 1045320,
1001530, 973604, 935123, 914700, 913915, 972645, 968638, 995173,
976877, 989840, 1002020, 942476, 956548, 945659, 992338, 1013110,
1031290, 1131390, 1058040, 1103330, 1123120, 1057840, 1006190,
962300, 988620, 1084130, 977165, 884479, 894272, 930898, 872011,
896405, 917897, 1021810, 963847, 919858, 945909, 1040910, 969000,
1008130, 1062770, 1019640, 1009230, 1027760, 1058830, 989518,
956134, 948007, 995305, 960577, 922178, 970114, 883460, 949774,
946631, 909077, 998639, 1069400, 1151360, 1100240, 1100610, 1092020,
1025750, 1044210, 1046960, 994625, 952030, 1022590, 1023070,
957188, 877444, 911962, 920767, 976118, 984521, 1028360, 1116460,
1092650, 1040850, 1026010, 1036570, 992198, 968352, 1073430,
1035410, 975023, 1059180, 971455, 963781, 936329, 1012170, 968428,
980079, 912492, 1068770, 1072880, 1094940, 1049550, 1094460,
1021890, 1062320, 977494, 943433, 978202, 1048840, 1086410, 1062370,
1039830, 977868, 884807, 873139, 913245, 1010770, 1027970, 1107780,
1023640, 943128, 996018, 1026570, 1041280, 1032600, 914304, 1010760,
1094600, 1157740, 1102810, 1159970, 1064900, 1143240, 1091700,
1002330, 1047310, 1006030, 1015370, 1056160, 1029060, 1051920,
1076950, 1002270, 1032190, 1044830, 961221, 954874, 945798, 939839,
1016510, 939248, 879040, 907280, 911739, 916824, 902461, 997566,
976280, 989639, 1087730, 951019, 1023480, 901031, 887694, 929095,
970626, 931968, 941582, 984676, 970680, 925155, 918125, 928761,
995105, 1046380, 980900, 1002080, 1118750, 1073480, 1000800,
951605, 951257, 999477, 924796, 925869, 981673, 919962, 901299,
931228, 919071, 925841, 958229, 958575, 926909, 908967, 885213,
934758, 952853, 916530, 851220, 907156, 933305, 989105, 1028830,
1012620, 989542, 990320, 1076710, 1052980, 1012350, 1107310,
1085070, 978697, 1029110, 1043150, 1003880, 949739, 989609, 1013140,
996788, 943306, 1046230, 1053130, 1076870, 980069, 987705, 920967,
987589, 961524, 1008200, 1057810, 1008330, 974991, 1021420, 1157490,
1030600, 942102, 1028170, 987360, 954600, 989654, 917747, 923769,
929851, 938737, 895011, 876669, 892505, 937296, 924350, 912781,
886294, 955758, 982901, 1043890, 990342, 1011350, 980348, 911993,
919697, 942289, 959563, 934391, 893593, 907204, 888544, 910804,
897828, 976604, 977920, 920735, 904101, 926473, 990301, 953180,
966773, 994714, 993493, 1032650, 999983, 1019370, 1053600, 1039510,
1010700, 1010240, 1026710, 1028230, 1005490, 923863, 920597,
926926, 974065, 918617, 927330, 985345, 1086840, 1031020, 991636,
1012630, 1055750, 1096550, 986815, 1091470, 1086260, 1068980,
1062860, 1040270, 992451, 987612, 1014020, 1021230, 1136070,
1172160, 1129860, 1106270, 1036900, 1095930, 1186990, 1054110,
1158810, 1046160, 994351, 1101990, 1092320, 1044530, 960033,
918840, 987395, 1066400, 982441, 928592, 960780, 896348, 925189,
965135, 925724, 974362, 1017720, 1023130, 1024250, 1030470, 1128010,
1096480, 1071540, 998822, 1047750, 1061370, 1032190, 956697,
922413, 944484, 905652, 940572, 915004, 945004, 1029840, 1012460,
1018170, 1023910, 1014360, 1016300, 994442, 1060030, 1014240,
916018, 919013, 988701, 966103, 957699, 1002100, 1097620, 1043300,
1011790, 1049180, 1075640, 1125820, 1089890, 1023580, 984230,
970393, 991462, 984931, 1047890, 1045180, 971350, 962658, 1021320,
996769, 1029810, 995072, 1004200, 1015380, 1082530, 1074660,
1154290, 1094350, 1055360, 998099, 1015210, 1013640, 1021430,
1056220, 990610, 1013000, 940323, 969671, 977149, 984227, 982362,
922324, 965870, 958587, 1068950, 1161130, 1073450, 1073850, 1082910,
1060390, 1168780, 1088430, 1102650, 982456, 966156, 991798, 927501,
960252, 887865, 900605, 840132, 828657, 851148, 861326, 899008,
955143, 1055640, 965411, 920160, 1064950, 1123080, 1115740, 1056320,
1013240, 983958, 932107, 960158, 1168480, 1122070, 1096760, 1104950,
1068580, 1055570, 1080770, 1103790, 1089300, 1014890, 1034610,
967010, 949775, 931059, 946874, 883717, 953816, 970687, 1012000,
938996, 936622, 850228, 955310, 1032900, 1105290, 1071330, 1150700,
1061170, 1037600, 1071490, 963410, 949743, 963418, 1019930, 1113530,
1122000, 1079020, 1065420, 1047560, 922358, 972944, 952422, 929798,
1001410, 998703, 1002770, 1034830, 1012960, 1012370, 1129070,
1044810, 1019050, 969205, 999760, 1060460, 1104080, 1135710,
1103140, 1075990, 1084540, 1057140, 1054140, 1046060, 1001620,
938888, 994049, 1002900, 988767, 1015650, 1029220, 1016080, 1006170,
974862, 972561, 907715, 928199, 986161, 971241, 1008100, 1015220,
984460, 988563, 957683, 950711, 1082450, 1056800, 1115010, 1035220,
1029490, 991989, 946573, 1009650, 1060710, 1111160, 1058910,
1055640, 1087170, 1113860, 1133280, 1122650, 1074160, 1170880,
1125320, 1085170, 995280, 884066, 1032410, 996987, 1087310, 1010670,
1004260, 880745, 877266, 1034170, 979197, 1035370, 1012980, 1022810,
1034440, 1066910, 1064890, 1091130, 1059980, 1125400, 973355,
1041290, 1045280, 980349, 1003910, 960489, 1016120, 1048660,
1061280, 1023120, 1013740, 1028510, 934197, 977106, 1010910,
974226, 999592, 1016860, 1000640, 968838, 1066050, 1045920, 1113590,
1079080, 969462, 879118, 859333, 931170, 938580, 954663, 970606,
973018, 924609, 1029510, 971422, 980267, 1007130, 1032420, 963185,
968172, 970539, 1010730, 1122460, 1149070, 1020690, 1164730,
1133950, 1128300, 1032840, 1018330, 978291, 985005, 1078870,
1034520, 977361, 1033450, 1025270, 1022820, 994107, 1011200,
1074010, 1086990, 1079740, 997302, 947589, 959942, 975855, 917922,
937980, 1019260, 959948, 1030240, 964607, 924129, 965493, 969548,
1027470, 965564, 966516, 1066540, 1146030, 1072730, 1045330,
1062070, 1124010, 1136570, 1153980, 1077630, 1068480, 1047670,
1054010, 1003980, 982350, 1002930, 1078800, 1125710, 1111880,
1053440, 897574, 910136, 924984, 957967, 935652, 1001440, 974576,
939863, 845919, 845795, 870493, 925525, 887373, 925044, 995181,
987828, 1031600, 983437, 1003520, 987036, 962174, 1019860, 984967,
972695, 970939, 1047050, 1003360, 1005790, 1033950, 1034090,
1027140), `1975` = c(966587, 988773, 1042640, 959999, 920967,
875749, 944869, 836007, 760039, 778192, 814742, 888108, 849139,
854042, 957840, 956493, 945975, 1016710, 869279, 890635, 897541,
874564, 1016640, 986818, 1058620, 1020340, 1040050, 946721, 949277,
964547, 1061710, 1033410, 1077700, 1137210, 1077610, 1039140,
937145, 995861, 1026000, 916410, 954072, 875442, 988608, 869492,
975802, 1019110, 1010570, 1061020, 981120, 1041600, 952909, 947016,
914116, 889206, 916478, 944269, 922300, 1013230, 1016510, 1061000,
1004800, 936990, 975019, 892228, 926590, 975252, 895590, 937841,
876505, 919371, 977340, 976491, 934076, 864679, 937892, 912936,
969459, 961873, 930433, 1000200, 947830, 898219, 909369, 948438,
937214, 942070, 932139, 996124, 1026210, 1085300, 1089400, 1075150,
968934, 1054580, 1021980, 1004440, 948859, 955593, 967205, 907881,
782210, 946444, 974802, 943667, 964969, 931792, 955692, 995296,
968898, 949707, 961055, 1020750, 1018800, 1038270, 1006620, 1014240,
972120, 1020550, 946199, 964418, 886123, 926869, 956507, 911644,
847127, 910396, 883056, 1012900, 993313, 990502, 986693, 944976,
955811, 1003620, 1079180, 1137800, 1058170, 1140970, 1006790,
1009470, 916380, 951437, 973744, 955155, 950187, 941283, 937494,
949679, 987301, 1056780, 1089500, 1080340, 1169160, 1027930,
1024860, 1042400, 1027810, 954476, 977127, 1087630, 1006330,
1056130, 1129540, 1044090, 991579, 1003440, 1028310, 994648,
968579, 997672, 959803, 913295, 986418, 957485, 853232, 835840,
822460, 855833, 869915, 872740, 914687, 834121, 885838, 974500,
972887, 1022290, 924000, 936598, 971121, 945510, 910374, 883793,
982995, 1028790, 993647, 912690, 928445, 990985, 1026480, 1055030,
1088080, 1111170, 1043790, 996637, 995082, 986830, 969103, 878510,
918256, 939212, 879048, 935352, 948814, 987876, 991000, 1013680,
941149, 903443, 991087, 1085420, 1037400, 1061700, 1036320, 941512,
1061540, 1011840, 978132, 925905, 985422, 1014540, 991624, 880395,
910994, 941523, 914396, 965149, 1049080, 1094250, 974949, 1073170,
951410, 1014440, 1043790, 987670, 957852, 1067920, 1005370, 971266,
971223, 946739, 982056, 1065620, 1073250, 1072970, 1061480, 1055720,
1050210, 1017880, 1044770, 1031830, 1011950, 1086450, 1093980,
1070160, 968324, 948779, 902932, 982823, 955854, 864401, 897986,
951949, 956234, 980481, 998921, 927904, 906595, 892688, 918040,
902662, 935388, 953740, 914287, 806466, 923801, 1101450, 1007410,
1022100, 980793, 1028950, 971797, 974243, 918910, 920682, 956230,
910860, 1014560, 980075, 985116, 929066, 896089, 990698, 986425,
992567, 997312, 975737, 973438, 929863, 874028, 860727, 904070,
955575, 920169, 967528, 954614, 974132, 931353, 868910, 883290,
862944, 938092, 1002640, 1026780, 1099680, 990182, 1055380, 1063560,
1039200, 978777, 928724, 955447, 1034410, 917461, 834290, 866353,
887521, 858046, 900962, 907201, 1032250, 1004610, 941834, 970889,
992015, 927802, 957368, 1038040, 1002950, 952573, 974806, 1012340,
952776, 938809, 939969, 1000220, 878715, 840133, 882285, 829492,
886999, 905894, 870394, 928046, 1063930, 1121450, 1042240, 1062000,
1085560, 973862, 1020260, 1039150, 954690, 923438, 999874, 1020520,
992505, 956444, 989110, 912253, 906316, 948635, 967809, 1014500,
1058140, 1012040, 993807, 1004680, 993264, 994105, 1035320, 1007260,
975385, 1069130, 1007910, 975192, 912976, 995934, 916487, 952101,
919875, 1052860, 1024870, 1026050, 1003390, 1019660, 948459,
974895, 873023, 875171, 883804, 939169, 999686, 1011890, 991043,
952863, 887280, 940744, 951743, 1012290, 1018940, 1057310, 994224,
888083, 993918, 1025620, 959098, 951246, 834669, 892933, 969325,
1010620, 1031280, 1080610, 1080200, 1118670, 1069420, 981692,
1035240, 1023600, 1051160, 1056920, 993994, 1054030, 1069300,
999768, 1074690, 1099740, 998164, 1009600, 982823, 982535, 967468,
905637, 835977, 862924, 848973, 892594, 859730, 939136, 927956,
995769, 1064560, 923209, 957016, 826494, 854271, 915006, 932611,
884064, 930959, 946886, 931266, 932600, 896739, 948188, 1013810,
1062630, 996740, 970817, 1099900, 1015630, 941130, 917726, 899574,
934906, 857940, 838848, 898491, 885239, 860096, 922311, 900242,
903935, 929918, 917105, 858841, 826913, 846387, 940222, 949692,
920039, 841000, 891284, 952056, 986607, 995667, 972893, 990668,
967162, 1054110, 1037970, 948778, 1042710, 1021990, 887424, 944912,
978538, 939764, 931653, 959059, 978984, 933042, 863135, 974366,
975773, 1006400, 966816, 965460, 863785, 936416, 935355, 963042,
982960, 944821, 909270, 1017750, 1135680, 992042, 883374, 994977,
976114, 922767, 959493, 868374, 897281, 867650, 910287, 860094,
814777, 832774, 895058, 909143, 882583, 909046, 943221, 948933,
977034, 934714, 956398, 966482, 984294, 970082, 970879, 971742,
901685, 870471, 903662, 862200, 891998, 844142, 925413, 948351,
883794, 877781, 916887, 954036, 979170, 938086, 962365, 1030980,
987534, 960249, 1022590, 1048980, 1056100, 1038690, 1029330,
1040990, 1068740, 988493, 878453, 867800, 906495, 980442, 988145,
951693, 976642, 1083160, 1017800, 1013400, 1027660, 1062790,
1086130, 1010870, 1097900, 1023710, 997735, 1010110, 981402,
951647, 972949, 994813, 983120, 1093500, 1107500, 1056130, 1032260,
997428, 1108380, 1172440, 1043010, 1128510, 1030940, 980936,
1088360, 1057830, 1000310, 894824, 887756, 976228, 1029150, 987349,
941484, 957845, 932278, 941031, 939782, 926449, 918285, 974614,
928306, 930423, 977312, 1039700, 1013250, 1029680, 980408, 1005820,
1032670, 1044270, 998884, 956280, 950252, 880285, 969347, 858241,
934704, 990657, 971575, 955853, 974926, 1016240, 1019760, 977838,
1044050, 990542, 906416, 930523, 1025090, 994170, 943605, 978371,
1060980, 1058890, 985668, 989261, 1005960, 1099930, 1056750,
1015340, 978501, 970213, 983329, 950846, 1000170, 1021650, 932609,
886375, 904734, 902505, 974769, 902999, 920381, 930596, 980446,
1044390, 1139040, 1091690, 1028370, 964869, 1026280, 1026190,
1034260, 1013640, 930548, 965401, 909964, 921759, 910250, 936674,
895191, 877710, 877981, 899508, 1046240, 1143160, 1027460, 1012300,
1003030, 1016400, 1087020, 1008080, 1038730, 926365, 925692,
991374, 919504, 910873, 792930, 810704, 751506, 757967, 860432,
887181, 900414, 952570, 1083430, 963169, 946249, 1038710, 1039350,
1054400, 1000990, 982131, 995551, 901653, 932528, 1122940, 1056030,
1050780, 1076750, 1004850, 1006670, 1062090, 1102740, 1152280,
1017490, 1047730, 940872, 1008180, 950180, 931111, 840307, 888078,
948996, 996250, 925031, 945284, 886733, 948436, 1066150, 1105270,
1058500, 1119710, 1013950, 986182, 996110, 855408, 893087, 911687,
941297, 1048480, 1063760, 1061610, 1059490, 1067560, 889024,
974369, 916023, 930484, 1025850, 1008400, 957908, 993847, 968521,
933105, 1084530, 959594, 947895, 922025, 934937, 961948, 1010850,
1028100, 1030220, 1024390, 1079200, 1062280, 1046800, 1014150,
957200, 872886, 944506, 927933, 926276, 963499, 999917, 994725,
956530, 923239, 920850, 904246, 867141, 969277, 944346, 1007090,
1041770, 1027190, 985287, 933693, 949447, 1105270, 1097080, 1092690,
1006490, 1019830, 1015820, 980299, 990540, 1069230, 1127920,
1075670, 1063880, 1073190, 1068020, 1107450, 1047780, 1021830,
1080240, 1052450, 982737, 884894, 845683, 971171, 963191, 1035310,
954222, 981737, 892476, 880705, 1008670, 947222, 1016570, 999137,
986673, 1015630, 1003660, 960581, 1035870, 996768, 1045570, 907447,
988172, 1043950, 1016080, 1052410, 1000450, 1011230, 1056770,
1096900, 999885, 1010340, 1000530, 881462, 941097, 954611, 912920,
915022, 948529, 928116, 879960, 946523, 970872, 1083030, 1039480,
952363, 852782, 813064, 898275, 883383, 915801, 932967, 943083,
850490, 998435, 902098, 937385, 981373, 982389, 910366, 907120,
875831, 944583, 1031880, 1075470, 930537, 1075530, 1083650, 1084890,
1016540, 985735, 962179, 978047, 1057610, 979862, 906222, 945584,
963825, 969843, 890373, 942834, 961082, 1031980, 1042010, 958657,
922858, 908750, 970665, 911914, 895262, 949258, 911928, 1019870,
978961, 918063, 964483, 945434, 958645, 920900, 905925, 963121,
1025650, 978444, 1007860, 1032290, 1111370, 1149180, 1148310,
1091470, 1088120, 1058970, 1074240, 1049750, 1003190, 989293,
1057370, 1100780, 1078040, 993458, 839899, 851168, 838979, 866029,
851665, 922640, 964697, 899847, 832722, 829177, 869572, 932359,
924616, 918377, 956781, 932614, 1034740, 1008210, 991867, 962399,
955319, 993504, 1019290, 1076050, 943378, 1004170, 959738, 953161,
930740, 946687, 970813), `1976` = c(1060740, 1095260, 1127030,
1013680, 986850, 917600, 1029430, 965213, 867689, 924276, 919139,
982556, 1002340, 979036, 1023990, 1011810, 1043000, 1081910,
1005040, 976835, 1005480, 1008780, 1156250, 1093360, 1134710,
1102430, 1131740, 1004670, 1013930, 1067420, 1112390, 1086440,
1162900, 1201560, 1170750, 1150340, 1073610, 1085400, 1176550,
1056860, 1025740, 1006900, 1037130, 962929, 1098380, 1151100,
1102150, 1213020, 1142190, 1152580, 1086780, 1066660, 1012060,
1045240, 1093020, 1051150, 1010860, 1116690, 1068640, 1077970,
1037620, 1037380, 1100560, 993931, 1044030, 1123850, 1044450,
1110420, 990704, 994531, 1043310, 958931, 939361, 909767, 976063,
939861, 1001670, 991718, 980761, 1041790, 1011280, 1010880, 1014140,
1094990, 1112700, 1071290, 1025210, 1031690, 1033050, 1130530,
1128940, 1111760, 1068820, 1135380, 1098720, 1139100, 1142730,
1115620, 1014850, 943443, 841291, 994408, 1028540, 1039050, 1072890,
1030720, 1039930, 1046910, 1003910, 975945, 967593, 1068500,
1091690, 1164160, 1117790, 1111380, 1047920, 1067700, 1030450,
1050370, 974469, 976386, 998494, 1005510, 974057, 1037560, 978282,
1105300, 1156200, 1099680, 1062320, 1092090, 1051650, 1069070,
1100890, 1155180, 1114060, 1214570, 1128130, 1148140, 1005640,
1062540, 1083840, 1089070, 1028060, 1000440, 983352, 987419,
1051870, 1176470, 1197390, 1173910, 1250220, 1222390, 1184520,
1159490, 1119170, 1062050, 1103150, 1185700, 1156070, 1180140,
1219720, 1133780, 1090420, 1131090, 1135930, 1047490, 1071760,
1147910, 1105710, 1061350, 1080290, 1092520, 1026070, 984719,
931546, 1017450, 1019240, 1043540, 1069550, 1043930, 1031730,
1103430, 1080760, 1101710, 1047840, 1072080, 1065780, 1072280,
1029940, 997967, 1078430, 1095220, 987254, 900929, 969187, 1086050,
1103240, 1143330, 1157270, 1153100, 1064690, 1016320, 1062890,
1108830, 1068690, 1014160, 1052860, 1072100, 1037710, 1084710,
1095990, 1132550, 1089700, 1078400, 1095730, 1083340, 1122470,
1177680, 1117810, 1170750, 1143540, 1053630, 1168110, 1152150,
1141960, 1041740, 1056100, 1073170, 1031520, 952862, 1015780,
1004690, 988580, 1053700, 1116410, 1186520, 1087600, 1216210,
1114270, 1173170, 1158010, 1091150, 1097530, 1202870, 1096270,
1016830, 1042580, 1043120, 1037620, 1121680, 1148740, 1143080,
1146460, 1170830, 1165710, 1135550, 1173220, 1217650, 1179530,
1203330, 1222240, 1244290, 1162560, 1117320, 1038410, 1085980,
1144550, 1047230, 1027220, 1057780, 1036090, 1095740, 1121730,
1031790, 1049240, 983251, 1010730, 1027710, 1054820, 1067120,
1020110, 898707, 1055200, 1183220, 1079320, 1112880, 1034800,
1059230, 1003320, 1059440, 1002330, 1015120, 1056020, 1014050,
1125480, 1059450, 1063940, 1052630, 1011270, 1047610, 1071740,
1088640, 1115720, 1052900, 1055610, 1076890, 1040250, 1078010,
1082240, 1059890, 1014460, 1024210, 1028240, 1035710, 1018550,
960067, 980431, 961488, 1014700, 1129020, 1130650, 1203550, 1118860,
1166820, 1188350, 1187390, 1115230, 1036740, 1087540, 1099350,
1001540, 939909, 969710, 969563, 958122, 987715, 978738, 1071370,
1076240, 1032330, 1074150, 1113750, 1074290, 1126480, 1192710,
1138110, 1122410, 1150610, 1139330, 1077060, 1086790, 1084250,
1112350, 984538, 886638, 924142, 941064, 978894, 1000350, 1011700,
1026750, 1136870, 1153690, 1089570, 1060690, 1122430, 1037790,
1055700, 1088160, 977831, 968613, 1076240, 1085920, 1080080,
1044840, 1029400, 1009140, 1014590, 1043330, 1082280, 1129350,
1150360, 1032440, 1010130, 1081160, 1087040, 1103550, 1124220,
1054360, 1067300, 1131690, 1106270, 1065440, 990886, 1094220,
1000210, 1033090, 1077710, 1182470, 1143520, 1092930, 1052240,
1078450, 1049600, 1071390, 1009330, 1003330, 1037330, 1091330,
1132170, 1095310, 1090770, 1080370, 1053110, 1083520, 1099090,
1172350, 1188680, 1152620, 1128620, 1064450, 1172510, 1164180,
1098590, 1065860, 1044290, 1011360, 1056060, 1054740, 1087260,
1163360, 1138750, 1231110, 1179060, 1131690, 1165370, 1126150,
1208670, 1165290, 1089820, 1218630, 1221230, 1144490, 1220720,
1193200, 1078940, 1105920, 1105410, 1094370, 1072750, 1066580,
964937, 976997, 961443, 973548, 977645, 1054820, 1030670, 1038340,
1134030, 968692, 996839, 877901, 896151, 982166, 1025660, 1025980,
1056380, 1027780, 975747, 1022740, 1018340, 1032070, 1107830,
1147180, 1130620, 1113300, 1276240, 1089570, 1086400, 1051980,
988284, 1021940, 947738, 967321, 1069630, 1048830, 1037400, 1068080,
1070730, 1065090, 1062360, 1045820, 1011230, 1012550, 1000700,
1106930, 1069230, 1015130, 947039, 1056030, 1094300, 1103730,
1062490, 1038070, 1029570, 1080230, 1123260, 1127550, 1059720,
1109490, 1091320, 957216, 985476, 1002520, 932659, 976871, 1041290,
1056420, 989331, 963469, 1091820, 1115780, 1105020, 1091800,
1052690, 946277, 971523, 1034990, 1084820, 1118600, 1111160,
1082240, 1138880, 1245710, 1070710, 987250, 1048480, 1072110,
971231, 1043660, 1000680, 1003600, 992097, 1013180, 987490, 984921,
1010150, 1058020, 1086020, 1055150, 1111240, 1131660, 1111840,
1098750, 1091030, 1145510, 1123050, 1091710, 1099400, 1091140,
1080940, 1032620, 1004510, 1012130, 981196, 1001130, 891149,
988781, 982854, 934770, 963741, 988930, 1062030, 1125500, 1044410,
1048820, 1138680, 1108100, 1089330, 1100070, 1081450, 1094460,
1038960, 1059260, 1136410, 1158860, 1073120, 928725, 893709,
954109, 1011550, 1034540, 983429, 1010140, 1108900, 1078590,
1091040, 1086790, 1109200, 1145160, 1068350, 1136060, 1083000,
1082650, 1134850, 1057640, 1041920, 1104580, 1139520, 1145890,
1225580, 1216490, 1174720, 1152990, 1128070, 1231480, 1282980,
1114880, 1209130, 1097970, 1120140, 1271200, 1174370, 1115180,
990720, 1002330, 1088020, 1147740, 1139020, 1043620, 1054300,
1067440, 1014650, 988570, 981550, 979868, 1001010, 950765, 996920,
1067790, 1153700, 1093070, 1073340, 1043650, 1124920, 1170940,
1138600, 1125900, 1098860, 1077870, 1018110, 1103290, 969781,
1002360, 1077910, 1081100, 1027300, 1103540, 1107570, 1106050,
1144630, 1178910, 1109390, 990046, 1027270, 1132910, 1062840,
1011300, 1065940, 1150510, 1150020, 1106750, 1084980, 1077310,
1164620, 1099770, 1054360, 1062650, 1046330, 1081930, 1027960,
1076840, 1114650, 1024770, 1026690, 1066490, 1013420, 1091640,
1021770, 1005500, 963001, 1010520, 1084330, 1238550, 1217250,
1065370, 1045170, 1124070, 1122470, 1107140, 1097200, 1040740,
1031200, 1026350, 1038270, 1055050, 1085960, 1035060, 999638,
1000920, 1013070, 1095580, 1202900, 1110150, 1054970, 1007640,
1033690, 1171100, 1060830, 1126720, 1001050, 1017040, 1153590,
1141060, 1072680, 986571, 985259, 964299, 988311, 1048660, 1068920,
1047420, 1034230, 1168340, 1081700, 1057990, 1127860, 1103110,
1072520, 1025050, 1011440, 1069710, 1022650, 1065030, 1185760,
1126180, 1103420, 1076670, 981181, 987297, 1060780, 1095580,
1168940, 1013120, 1091830, 1018490, 1065500, 1031500, 1049490,
966290, 993030, 1039430, 1088290, 1013980, 1048180, 1038480,
1051140, 1171710, 1223940, 1135010, 1221300, 1089870, 1036570,
1060200, 925543, 987761, 1001000, 992822, 1056610, 1109010, 1141670,
1072630, 1101500, 958381, 1064620, 1056840, 1031490, 1104320,
1041640, 994998, 1081470, 1094380, 1046370, 1136780, 1063180,
1025880, 1014920, 1018620, 1032380, 1081080, 1134700, 1100600,
1117600, 1167850, 1159100, 1147600, 1103070, 1063830, 1013170,
1048870, 1015930, 992141, 1035130, 1068230, 1078500, 1049430,
1061830, 1058000, 1051540, 1017660, 1110690, 1025000, 1075870,
1131870, 1085810, 1054820, 1029910, 993095, 1146650, 1111640,
1066600, 1029280, 1084420, 1110060, 1070390, 1100910, 1141020,
1205330, 1205820, 1166230, 1159320, 1167180, 1195670, 1155210,
1110690, 1190480, 1165690, 1089510, 1005470, 975294, 1045590,
1012140, 1063050, 981521, 1046780, 991727, 1005570, 1060220,
985293, 1081410, 1125370, 1129090, 1112340, 1122470, 1065390,
1119040, 1043950, 1084400, 931390, 1011010, 1083720, 1043220,
1073240, 1105320, 1066280, 1119280, 1147990, 1042500, 1091200,
1071210, 936812, 1000760, 1036320, 983198, 948158, 1014940, 977931,
932711, 1031660, 1088810, 1179040, 1161910, 1074450, 1021410,
971389, 1021690, 1020180, 1077330, 1080060, 1092060, 1016610,
1112140, 1004690, 1012220, 1073030, 1085070, 988462, 1088160,
1045500, 1121940, 1132490, 1150430, 1020370, 1130040, 1118960,
1106190, 1081670, 1029880, 1036240, 1051330, 1113550, 1043830,
968403, 976298, 1003130, 1026470, 920285, 979221, 1012920, 1105380,
1108150, 1019440, 998654, 986338, 1039450, 994854, 1010750, 1041590,
977093, 1046790, 1054170, 997688, 1054160, 1019270, 1031810,
999831, 1003600, 1105200, 1130010, 1095660, 1072930, 1094400,
1130490, 1188670, 1199130, 1107100, 1124220, 1077830, 1089570,
1093690, 1069190, 1058980, 1150640, 1196230, 1175440, 1082730,
957145, 1005240, 1064810, 972620, 965958, 1024050, 1058170, 1000800,
968970, 952886, 924236, 973878, 989496, 996901, 1064180, 1044060,
1141980, 1086590, 1074340, 1023120, 993021, 1038140, 1082710,
1135110, 1003590, 1121430, 1150540, 1101520, 1050860, 1100880,
1089720), `1977` = c(1483290, 1477630, 1545220, 1389070, 1441370,
1368490, 1501270, 1434610, 1309340, 1306780, 1320670, 1341870,
1439160, 1324210, 1388110, 1371630, 1464140, 1529890, 1415010,
1439450, 1512640, 1456500, 1555900, 1485740, 1502850, 1478330,
1566910, 1488240, 1511030, 1546950, 1586090, 1561690, 1621130,
1602630, 1546550, 1595030, 1499440, 1501520, 1587550, 1544350,
1511570, 1451620, 1455070, 1415990, 1540210, 1606280, 1564400,
1632570, 1544030, 1540890, 1435000, 1476620, 1459430, 1440620,
1484520, 1482630, 1471510, 1462930, 1423240, 1450790, 1445880,
1500940, 1520370, 1519220, 1584090, 1631780, 1542960, 1555670,
1434370, 1444020, 1466300, 1364000, 1373100, 1371250, 1316240,
1373150, 1427290, 1469380, 1435780, 1403090, 1375590, 1474180,
1463340, 1515880, 1537920, 1596620, 1508490, 1564610, 1479460,
1570130, 1571140, 1622460, 1633480, 1669030, 1615060, 1617070,
1604200, 1549870, 1486570, 1398360, 1339000, 1464270, 1461690,
1473550, 1535250, 1475030, 1435970, 1382420, 1374080, 1370970,
1360640, 1510900, 1520180, 1568610, 1494320, 1523420, 1457880,
1429780, 1524840, 1503600, 1468020, 1432730, 1409210, 1432130,
1435800, 1468080, 1469390, 1503800, 1587880, 1506600, 1484200,
1468620, 1454420, 1459300, 1498900, 1596140, 1625350, 1674850,
1556960, 1538700, 1393030, 1450090, 1424000, 1469910, 1406700,
1422420, 1488560, 1449120, 1482560, 1584860, 1577950, 1540320,
1610270, 1594310, 1676880, 1584910, 1499360, 1453050, 1471390,
1600050, 1532260, 1568450, 1543860, 1448350, 1400770, 1521140,
1529440, 1459230, 1494520, 1589900, 1520980, 1394550, 1443690,
1490550, 1467820, 1374130, 1344640, 1401780, 1388480, 1385890,
1446080, 1374320, 1367180, 1447260, 1459310, 1507740, 1405160,
1497430, 1488760, 1491710, 1443290, 1433400, 1522730, 1547580,
1428720, 1359360, 1430230, 1507910, 1493250, 1509290, 1607640,
1620690, 1561340, 1499280, 1489560, 1502880, 1463070, 1471820,
1484070, 1490800, 1440040, 1542590, 1540200, 1504640, 1469660,
1477890, 1555090, 1559020, 1562580, 1632750, 1596990, 1589810,
1539780, 1482800, 1522840, 1514420, 1535980, 1438590, 1420110,
1430380, 1442220, 1451470, 1457250, 1449610, 1477560, 1508730,
1541980, 1591450, 1459140, 1649810, 1537770, 1585220, 1596050,
1547960, 1526430, 1611810, 1510200, 1433740, 1455630, 1443750,
1450830, 1470260, 1475490, 1488470, 1568120, 1617650, 1556120,
1514190, 1548000, 1612260, 1539890, 1566770, 1538330, 1572600,
1479420, 1508790, 1480190, 1504300, 1581160, 1486190, 1476390,
1493250, 1421080, 1510310, 1537860, 1426800, 1458910, 1412140,
1495060, 1551640, 1522020, 1529940, 1552000, 1474480, 1564190,
1578360, 1478190, 1483120, 1413090, 1430110, 1387530, 1444830,
1386410, 1398000, 1531170, 1472400, 1591610, 1565870, 1569580,
1546920, 1421350, 1437840, 1503860, 1488740, 1503220, 1498150,
1405500, 1438140, 1421900, 1497570, 1480920, 1402110, 1356570,
1398440, 1402620, 1392160, 1415830, 1374220, 1385870, 1389600,
1465130, 1530950, 1646630, 1607070, 1576860, 1585900, 1583280,
1605580, 1472040, 1426150, 1529530, 1543080, 1511870, 1478440,
1465700, 1498750, 1351280, 1433740, 1439640, 1521850, 1546760,
1542680, 1592770, 1592040, 1498570, 1485270, 1545430, 1483990,
1476980, 1506130, 1497940, 1433930, 1460620, 1536620, 1513040,
1443410, 1419660, 1493550, 1532630, 1456070, 1445160, 1490570,
1551170, 1615170, 1582000, 1521500, 1470480, 1475040, 1437210,
1493730, 1481080, 1359150, 1407980, 1514220, 1495050, 1502920,
1441430, 1406700, 1365400, 1416420, 1443660, 1510370, 1568370,
1608690, 1490460, 1433160, 1499860, 1468000, 1467920, 1475240,
1424140, 1501760, 1510210, 1556910, 1515830, 1459050, 1517790,
1384450, 1352470, 1442030, 1525490, 1458470, 1388550, 1437700,
1442150, 1449790, 1505550, 1461240, 1457340, 1545310, 1555050,
1530290, 1439810, 1464040, 1486990, 1464490, 1509300, 1510320,
1550360, 1586330, 1632490, 1604200, 1541760, 1590210, 1535070,
1518400, 1502540, 1496350, 1442120, 1489570, 1465810, 1537090,
1563060, 1550230, 1625950, 1617230, 1530390, 1545740, 1517170,
1554590, 1565830, 1470360, 1593970, 1623470, 1517940, 1574370,
1572720, 1423140, 1484980, 1545120, 1566920, 1550540, 1526130,
1398300, 1426440, 1407080, 1401950, 1475930, 1523060, 1540850,
1430260, 1509680, 1428630, 1453820, 1390470, 1409430, 1493850,
1471880, 1472460, 1525560, 1439380, 1407110, 1446540, 1448870,
1431260, 1461380, 1528490, 1548150, 1496330, 1665630, 1500550,
1546870, 1537160, 1443950, 1471870, 1437670, 1440150, 1499830,
1521400, 1502530, 1525680, 1572540, 1558380, 1512350, 1489420,
1482950, 1406500, 1424610, 1502690, 1491540, 1441910, 1360240,
1465130, 1435440, 1415190, 1386710, 1364410, 1413920, 1520010,
1562580, 1550970, 1481570, 1513360, 1493450, 1335330, 1382300,
1380820, 1295850, 1322180, 1376780, 1378930, 1337200, 1293620,
1425120, 1422890, 1398170, 1442550, 1447510, 1300390, 1323210,
1488890, 1521610, 1563060, 1573460, 1546410, 1507860, 1587660,
1426830, 1399520, 1436270, 1416610, 1381770, 1424070, 1440630,
1410890, 1377570, 1469100, 1478640, 1517050, 1482590, 1483580,
1557740, 1488360, 1538760, 1533820, 1497630, 1494250, 1500140,
1559600, 1510690, 1465840, 1459920, 1467530, 1433110, 1456970,
1456510, 1399020, 1358850, 1424070, 1308450, 1419750, 1358330,
1323760, 1451880, 1476080, 1538790, 1552560, 1482320, 1501700,
1534570, 1493450, 1512890, 1523250, 1458110, 1475260, 1411890,
1442960, 1492660, 1541820, 1527810, 1357500, 1391950, 1460720,
1539480, 1527800, 1494220, 1418590, 1438710, 1438660, 1418400,
1425030, 1484290, 1508600, 1426840, 1499540, 1520950, 1560660,
1597740, 1546480, 1525650, 1517740, 1608840, 1572850, 1595960,
1610410, 1574300, 1478160, 1423360, 1536090, 1601650, 1485550,
1655630, 1497380, 1512080, 1675670, 1519950, 1473400, 1380090,
1387610, 1491450, 1504290, 1591260, 1552130, 1447970, 1564560,
1474650, 1452480, 1417300, 1351960, 1474350, 1429810, 1443960,
1488760, 1547270, 1511110, 1537670, 1470650, 1537320, 1601180,
1582070, 1535480, 1520270, 1508600, 1401750, 1491670, 1404750,
1388250, 1462050, 1489480, 1404010, 1477890, 1438510, 1554900,
1541900, 1524330, 1509890, 1394150, 1459590, 1540170, 1480660,
1401220, 1456460, 1546140, 1541110, 1473510, 1474630, 1472980,
1488140, 1502650, 1518480, 1557240, 1537280, 1575230, 1539930,
1588480, 1570050, 1498400, 1508510, 1520280, 1478290, 1538020,
1517260, 1452260, 1398980, 1450740, 1529160, 1616250, 1648920,
1466780, 1445130, 1461020, 1477790, 1508050, 1502710, 1448810,
1456660, 1438330, 1558340, 1498550, 1594480, 1532220, 1465200,
1507870, 1522330, 1594120, 1606230, 1472720, 1436260, 1466610,
1497630, 1612970, 1503530, 1555520, 1377850, 1387060, 1515340,
1511710, 1442430, 1454450, 1396820, 1410760, 1462980, 1514120,
1594420, 1493670, 1504030, 1575780, 1515620, 1496900, 1525050,
1526710, 1508090, 1466850, 1453090, 1506630, 1515380, 1530610,
1663150, 1611510, 1613880, 1610150, 1466910, 1517140, 1551950,
1584390, 1614580, 1487630, 1543160, 1549490, 1541770, 1502020,
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1435550, 1386510, 1368630, 1389310, 1409230, 1456150, 1432750,
1423630, 1470180, 1466380, 1544160, 1453090, 1342150, 1397750,
1401310, 1405890, 1393330, 1378280, 1332280, 1319000, 1316010,
1375910, 1391510, 1412870, 1439460, 1421230, 1441670, 1459300,
1452210, 1449980, 1407930, 1354290, 1413910, 1413930, 1382400,
1380910, 1409590, 1414570, 1333850, 1405310, 1474390, 1510170,
1463890, 1412750, 1442590, 1381280, 1425310, 1436100, 1437490,
1505950, 1458140, 1442540, 1445950, 1468270, 1469320, 1424290,
1482850, 1427200, 1429550, 1479570, 1376080, 1443770, 1402220,
1362570, 1445390, 1422830, 1483930, 1468580, 1483720, 1551170,
1441750, 1494880, 1451540, 1349260, 1371770, 1412370, 1403570,
1381900, 1412230, 1385550, 1401970, 1362660, 1367790, 1444510,
1470140, 1438810, 1476490, 1467630, 1401220, 1442120, 1412510,
1289890, 1379760, 1410190, 1466610, 1475620, 1357350, 1393510,
1334920, 1434700, 1442210, 1454130, 1417480, 1417590, 1399370,
1410120, 1429600, 1459540, 1495360, 1481170, 1465790, 1450530,
1408120, 1377120, 1462230, 1426130, 1393250, 1380940, 1382610,
1435870, 1433050, 1382290, 1372200, 1369600, 1369010, 1378380,
1389530, 1398200, 1353980, 1406290, 1433820, 1401100, 1371290,
1385010, 1391430, 1411660, 1392850, 1419090, 1512440, 1433130,
1493640, 1475010, 1548690, 1503820, 1518990, 1493640, 1459990,
1482490, 1491510, 1529610, 1466950, 1432470, 1403580, 1430880,
1412330, 1442350, 1413940, 1465980, 1445930, 1348140, 1475980,
1453230, 1462040, 1424250, 1423900, 1447290, 1495360, 1414230,
1441990, 1357980, 1430380, 1435890, 1406680, 1381900, 1389900,
1397920, 1373760, 1340660, 1353790, 1400390, 1411800, 1451490,
1434680, 1473300, 1464120, 1457760, 1412200, 1378080, 1359750,
1411530, 1347550, 1304280, 1337180, 1380250, 1408210, 1427580,
1436820, 1404250, 1376600, 1386120, 1434770, 1377100, 1391270,
1447940, 1434420, 1488010, 1551210, 1426820, 1480860, 1393170,
1363680, 1463550, 1451650, 1482120, 1462810, 1439330, 1384020,
1358370, 1343910, 1342030, 1391480, 1371980, 1397950, 1377470,
1295730, 1440880, 1477200, 1452050, 1423860, 1404970, 1394150,
1427130, 1376960, 1369420, 1337090, 1356930, 1294670, 1368870,
1356370, 1301510, 1358640, 1417030, 1406580, 1443460, 1441410,
1449480, 1481630, 1477920, 1456860, 1410760, 1421900, 1420270,
1434450, 1392610, 1485680, 1434090, 1394500, 1373520, 1391210,
1441060, 1402150, 1490400, 1467090, 1450540, 1383150, 1354210,
1402990, 1444870, 1412740, 1366040, 1392590, 1369820, 1332260,
1373660, 1382230, 1400900, 1395470, 1358430, 1423770, 1410660,
1416820, 1416380, 1417100, 1432600, 1437170, 1432540, 1391540,
1331820, 1401800, 1423840, 1393530, 1349840, 1414620, 1426460,
1431720, 1442210, 1445880, 1466700, 1395750, 1415060, 1430260,
1421020, 1467220, 1416610, 1359690, 1451490, 1409850, 1415290,
1374770, 1419030, 1410340, 1393440, 1382450, 1380910, 1341700,
1350680, 1359390, 1341970, 1329750, 1352590, 1410800, 1384960,
1354190, 1350690, 1335770, 1325070, 1343880, 1340860, 1345120,
1326290, 1329360, 1292820, 1318230, 1359330, 1387430, 1360160,
1369800, 1389360, 1384570, 1444730, 1394130, 1373220, 1361020,
1395370, 1353130, 1417450, 1412830, 1439030, 1410480, 1350800,
1306660, 1329090, 1305520, 1359680, 1317020, 1344840, 1402420,
1377440, 1357520, 1352390, 1319780, 1318650, 1309870, 1356870,
1304320, 1320030, 1315440, 1348970, 1397100, 1389980, 1372470,
1435570, 1384180, 1445100, 1480220, 1501460, 1500160, 1467660,
1458270, 1454160, 1553800, 1531260, 1515780, 1455190, 1381650,
1452670, 1428570, 1399940, 1371250, 1438160, 1472050, 1421630,
1405120, 1294090, 1316720, 1355050, 1342840, 1369800, 1346660,
1337010, 1385500, 1425310, 1401600, 1367430, 1408460, 1437700,
1465950, 1412190, 1389990, 1404880, 1453180, 1427910, 1441150,
1463530, 1420710, 1477080, 1439900, 1437610, 1400240, 1363840,
1429340, 1453840, 1444370, 1391020, 1354620, 1358700, 1362310,
1430900, 1390490, 1475570, 1478100, 1376430, 1406740, 1435100,
1404820), `1982` = c(1130650, 1142000, 1151980, 1088910, 1031340,
1037080, 1143560, 1160110, 1126230, 1157610, 1126570, 1167160,
1073750, 1081560, 1099410, 1213930, 1082150, 1118000, 1058800,
1144510, 1252610, 1221340, 1243620, 1257780, 1180360, 1135400,
1198980, 1148740, 1118800, 1112200, 1095670, 1074070, 1104090,
1126440, 1120640, 1131040, 1163330, 1207060, 1226770, 1216620,
1268680, 1230990, 1171440, 1104120, 1099140, 1130540, 1106130,
1111000, 1062680, 1090340, 1123840, 1139170, 1120450, 1143970,
1171140, 1069800, 1108930, 1184210, 1130260, 1109880, 1098400,
1190140, 1131620, 1117210, 1130750, 1150330, 1157670, 1155240,
1093530, 1092770, 1140590, 1083200, 1108260, 1151990, 1020480,
1113580, 1116080, 1129480, 1112420, 1135130, 1056690, 1153660,
1106920, 1152830, 1110590, 1118860, 1200470, 1224120, 1237960,
1207210, 1219370, 1235640, 1231660, 1187370, 1197620, 1223890,
1206220, 1200230, 1143520, 1063240, 1106600, 1161080, 1110600,
1127720, 1132440, 1131030, 1082190, 1103270, 1110920, 1086360,
1041240, 1098040, 1101300, 1096230, 1069510, 1104490, 1014860,
1045200, 1159620, 1164570, 1068920, 1057600, 999039, 1019740,
1048690, 1073750, 1086180, 1111040, 1198750, 1172680, 1210010,
1160590, 1229890, 1209600, 1242580, 1211970, 1192730, 1199790,
1133610, 1157750, 1076560, 1124290, 1153090, 1182770, 1239380,
1206480, 1219720, 1095370, 1125100, 1169930, 1196960, 1187180,
1149800, 1206360, 1224530, 1225570, 1112330, 1150910, 1166380,
1167510, 1098600, 1080210, 1142700, 1159310, 1156960, 1162420,
1118420, 1133540, 1149730, 1149050, 1128900, 1080100, 1163480,
1130510, 1168460, 1146160, 1118180, 1151140, 1132780, 1142590,
1213470, 1201610, 1163750, 1141840, 1087460, 1077270, 1075780,
1104360, 1109270, 1102640, 1107520, 1093220, 1107950, 1090560,
1099520, 1060580, 1040580, 1114460, 1107970, 1090630, 1083410,
1122040, 1175060, 1107210, 1067370, 1139820, 1089140, 1086370,
1093150, 1114220, 1078360, 1092260, 1077230, 1143340, 1181720,
1117940, 1129250, 1120580, 1091060, 1104860, 1113290, 1155970,
1113200, 1147910, 1152240, 1104430, 1146070, 1131140, 1098780,
1110920, 1130540, 1087400, 1133890, 1108920, 1153520, 1169230,
1183430, 1145990, 1145170, 1227040, 1117730, 1176980, 1211760,
1151390, 1138360, 1217200, 1106160, 1148100, 1127280, 1155620,
1139830, 1146010, 1149640, 1157470, 1201520, 1160320, 1185340,
1216670, 1157670, 1170890, 1112940, 1110080, 1162490, 1216990,
1153450, 1188810, 1181830, 1182510, 1190690, 1200120, 1192000,
1119670, 1072530, 1022260, 1105100, 1159180, 1126870, 1103960,
1072570, 1107970, 1060390, 1032000, 1124820, 1116970, 1107610,
1085150, 1104410, 1121660, 1066650, 1060840, 1067990, 1094870,
1096560, 1068630, 1164780, 1148240, 1209320, 1118270, 1153960,
1143390, 1098720, 1057760, 1141190, 1166630, 1177950, 1122530,
1056380, 1076090, 1121810, 1166210, 1179440, 1181750, 1115920,
1138080, 1152560, 1060000, 1073370, 1136340, 1145490, 1142950,
1124520, 1056930, 1194060, 1129220, 1170520, 1177050, 1200340,
1205390, 1064380, 1052600, 1109710, 1165600, 1121530, 1120320,
1150520, 1174550, 1163270, 1181110, 1129890, 1175530, 1161070,
1178460, 1183950, 1166630, 1129890, 1151790, 1170870, 1109720,
1123270, 1148840, 1102030, 1115610, 1188160, 1237580, 1260060,
1191310, 1140880, 1135080, 1158990, 1142320, 1118340, 1170090,
1209470, 1258650, 1265650, 1193450, 1238200, 1216220, 1217600,
1249210, 1212850, 1206820, 1145410, 1156210, 1140650, 1133240,
1146410, 1134920, 1119130, 1135580, 1068580, 1075630, 1155240,
1142620, 1135910, 1092520, 1086930, 1076920, 1054640, 1153920,
1118230, 1167310, 1175050, 1136010, 1109340, 1075260, 1126550,
1093390, 1073500, 1146040, 1141680, 1041780, 1060550, 1132470,
1158720, 1126770, 1147870, 1122620, 1147440, 1189290, 1246980,
1292160, 1254660, 1231890, 1195740, 1223920, 1198060, 1150680,
1185980, 1114640, 1148380, 1178050, 1180670, 1165730, 1134790,
1143640, 1170720, 1169530, 1149560, 1100820, 1105790, 1156830,
1205600, 1241340, 1258000, 1162090, 1199430, 1118860, 1175710,
1181360, 1148220, 1115070, 1174420, 1227510, 1151410, 1134920,
1168160, 1164080, 1141360, 1113980, 1127650, 1113860, 1086530,
1093150, 1093620, 1107670, 1046360, 1097650, 1153420, 1122660,
1108880, 1139100, 1123080, 1140470, 1116710, 1088820, 1181890,
1182440, 1165310, 1148720, 1137710, 1067540, 1109540, 1091760,
1068270, 1059670, 1143230, 1162110, 1050700, 1147020, 1147250,
1107290, 1103260, 1121010, 1080520, 1058750, 1075930, 1117440,
1165260, 1166130, 1147530, 1165280, 1157040, 1101400, 1120210,
1079630, 1052940, 1120120, 1087280, 1110640, 1165130, 1101800,
1181680, 1145870, 1087310, 1080280, 1126940, 1110290, 1130150,
1155970, 1142170, 1152690, 1119830, 1060700, 1112680, 1104410,
1116930, 1158990, 1152160, 1134410, 1165420, 1120270, 1129420,
1142080, 1165440, 1155820, 1178720, 1137830, 1116240, 1149060,
1133500, 1149430, 1199900, 1189390, 1157810, 1169120, 1181610,
1155340, 1128860, 1151270, 1172740, 1141360, 1145250, 1133080,
1135430, 1131100, 1141790, 1120000, 1119200, 1117020, 1096320,
1121310, 1103020, 1123990, 1157610, 1161730, 1153360, 1173930,
1115610, 1157870, 1225950, 1150800, 1161140, 1178110, 1176460,
1159680, 1125730, 1117260, 1126360, 1150120, 1180900, 1118350,
1112920, 1165400, 1137270, 1228470, 1214120, 1149910, 1142600,
1122280, 1094260, 1078020, 1095960, 1073530, 1039130, 1034050,
1098040, 1093820, 1121900, 1141930, 1116620, 1123440, 1153100,
1173710, 1175010, 1136100, 1077240, 1157130, 1132280, 1113560,
1141660, 1192980, 1176940, 1095850, 1157320, 1174670, 1173550,
1165990, 1127680, 1189960, 1148310, 1146100, 1161820, 1156440,
1215560, 1181700, 1165650, 1183110, 1195370, 1171000, 1120590,
1182320, 1145160, 1161090, 1178750, 1121740, 1173140, 1123570,
1107820, 1194030, 1206060, 1205740, 1155960, 1176910, 1241710,
1127620, 1160960, 1140010, 1045920, 1059710, 1116330, 1122530,
1087820, 1124310, 1084830, 1102060, 1093490, 1060510, 1134280,
1133130, 1141150, 1147270, 1125650, 1094810, 1108440, 1088240,
1002340, 1077610, 1118030, 1178470, 1173480, 1069150, 1101310,
1051000, 1129580, 1131130, 1125990, 1088980, 1122060, 1104600,
1106190, 1139870, 1165840, 1184750, 1192570, 1206280, 1180760,
1106740, 1077540, 1151950, 1106170, 1061920, 1074790, 1080180,
1139890, 1137170, 1101990, 1101390, 1121140, 1107960, 1115690,
1112990, 1115700, 1119280, 1102000, 1135670, 1093810, 1060880,
1088600, 1101380, 1118300, 1131670, 1166750, 1225140, 1169280,
1176450, 1207660, 1271450, 1231880, 1202550, 1162640, 1128680,
1177600, 1186090, 1195020, 1172120, 1169660, 1133450, 1164890,
1139520, 1175230, 1126700, 1162640, 1147490, 1081840, 1201160,
1161670, 1164500, 1145080, 1168350, 1184810, 1224820, 1161180,
1168600, 1108720, 1190080, 1183960, 1163350, 1133240, 1153940,
1150980, 1150540, 1112750, 1100700, 1095540, 1127150, 1141450,
1123480, 1176770, 1158120, 1167160, 1107560, 1088000, 1054190,
1106960, 1026410, 1005700, 1057340, 1106610, 1127690, 1149280,
1150750, 1121120, 1114070, 1130140, 1181800, 1136910, 1146190,
1185990, 1179820, 1213350, 1263920, 1143860, 1203840, 1169620,
1107010, 1178910, 1157010, 1193740, 1173170, 1138990, 1102060,
1097460, 1086180, 1108620, 1153560, 1099400, 1084830, 1089520,
1051480, 1154250, 1186530, 1162100, 1111340, 1085450, 1108340,
1118400, 1090510, 1074700, 1100600, 1111180, 1061230, 1094820,
1091760, 1040260, 1114620, 1142190, 1123800, 1152480, 1140520,
1176810, 1185940, 1189290, 1177740, 1120030, 1145910, 1145500,
1176380, 1138330, 1219160, 1168640, 1117360, 1120850, 1135690,
1162530, 1121540, 1211100, 1199780, 1144730, 1087050, 1098820,
1125800, 1179480, 1155530, 1083980, 1102600, 1093940, 1053930,
1082410, 1106540, 1124490, 1145050, 1098780, 1168250, 1160700,
1177540, 1142150, 1108700, 1132590, 1138600, 1126000, 1091800,
1031700, 1077560, 1102100, 1076910, 1040590, 1089350, 1119250,
1121620, 1162100, 1192840, 1183370, 1155490, 1160180, 1184780,
1195200, 1191210, 1138970, 1082750, 1150040, 1078880, 1080410,
1054040, 1107540, 1116450, 1093750, 1102150, 1112910, 1050250,
1083100, 1083080, 1078390, 1058690, 1059590, 1138470, 1089680,
1052580, 1060160, 1051850, 1034670, 1037320, 1071730, 1046000,
1061740, 1068410, 1061120, 1077220, 1103530, 1096090, 1105420,
1086690, 1099690, 1100110, 1165500, 1135630, 1080030, 1074280,
1107080, 1094400, 1158960, 1160530, 1158830, 1141850, 1065100,
1031250, 1063010, 998530, 1042660, 1008610, 1039800, 1096750,
1077640, 1081980, 1086370, 1058900, 1067980, 1081920, 1110700,
1023300, 1059570, 1067270, 1087980, 1131810, 1125620, 1104370,
1143890, 1109020, 1153140, 1181640, 1179860, 1178750, 1136910,
1124540, 1110910, 1198300, 1191280, 1173740, 1118640, 1061700,
1144660, 1134560, 1107460, 1118350, 1153660, 1196530, 1150970,
1139500, 1050830, 1052790, 1099950, 1114320, 1109050, 1072730,
1055850, 1092440, 1128440, 1141610, 1085390, 1122790, 1149350,
1174680, 1130370, 1116490, 1120630, 1153680, 1130820, 1152100,
1156160, 1137700, 1206470, 1146520, 1152550, 1121750, 1078200,
1125220, 1151090, 1164330, 1090830, 1043640, 1060590, 1054230,
1112000, 1092120, 1167000, 1199040, 1115880, 1138020, 1180110,
1114170), `1983` = c(918667, 910547, 909942, 859855, 840808,
842840, 939144, 959902, 933307, 942529, 955197, 930946, 821139,
837923, 887843, 995960, 903878, 929581, 900544, 948986, 1042810,
1000280, 1042880, 1086910, 1004920, 916280, 1010330, 947917,
935271, 937036, 922286, 859339, 896826, 906126, 887133, 915884,
925255, 1018240, 1033920, 1008080, 1024480, 984729, 945398, 902533,
883272, 907211, 885451, 871096, 829188, 864232, 907361, 912568,
936695, 948957, 947212, 835617, 917633, 983050, 942754, 929780,
900135, 981224, 932032, 954204, 903685, 930376, 944298, 959683,
884909, 884485, 909882, 854048, 873317, 935401, 857391, 918147,
884647, 899374, 872973, 926672, 873733, 943603, 883460, 912734,
885901, 889496, 980546, 1033840, 992039, 979085, 1000760, 1019410,
1052950, 983033, 1008230, 1003120, 969252, 979367, 956216, 924313,
951392, 982983, 893499, 919012, 929271, 924656, 858708, 885451,
895002, 885897, 826728, 887015, 888902, 901012, 870117, 868287,
820762, 862073, 964723, 965901, 852340, 841580, 799992, 814066,
866339, 871033, 882362, 902327, 1006610, 956199, 1011130, 991326,
1012680, 976386, 1016120, 955708, 940171, 971791, 897732, 931915,
899308, 929124, 935054, 934781, 984739, 964926, 997586, 871305,
915242, 966981, 1004460, 971197, 928753, 995319, 1027760, 1026830,
936911, 954705, 930671, 928250, 881698, 884897, 919200, 935134,
951614, 925515, 925308, 943162, 962662, 979135, 940078, 927722,
996713, 947332, 961719, 948291, 921756, 955842, 912075, 927015,
1000130, 956374, 937191, 907973, 876723, 864815, 857276, 896519,
913043, 884283, 872263, 862819, 879737, 871041, 884275, 833816,
852494, 883633, 869513, 878814, 852244, 904728, 957056, 889741,
863493, 920941, 871038, 867547, 873486, 870257, 863774, 855923,
847734, 908065, 932889, 864283, 869702, 860932, 850902, 874031,
871317, 889464, 840579, 901668, 927697, 886980, 963964, 917375,
905040, 889850, 886138, 855133, 900284, 876421, 923017, 939959,
939246, 893323, 880878, 935276, 841640, 905518, 953806, 890308,
882732, 961949, 861534, 918001, 878538, 898061, 880274, 910789,
919746, 913482, 972504, 939333, 987218, 1016020, 959407, 949200,
892158, 889453, 958481, 970632, 939883, 982369, 951650, 958469,
963986, 983681, 1023860, 924895, 878488, 860340, 896760, 926001,
930183, 930988, 887384, 916964, 881616, 827734, 911276, 932791,
914312, 877088, 886258, 872570, 820197, 825523, 828140, 860825,
841589, 829887, 952689, 989823, 1015650, 930350, 952277, 921124,
888011, 861740, 907100, 913031, 912643, 923611, 867266, 878147,
936663, 976031, 992808, 979706, 923414, 938547, 938557, 848488,
859473, 920004, 898971, 895392, 862898, 805825, 934627, 903965,
948573, 946248, 962279, 991484, 870228, 850411, 901309, 969132,
920496, 905414, 937322, 940177, 943269, 952145, 901989, 948521,
933399, 975439, 947759, 935463, 916639, 949768, 968556, 914509,
917923, 973804, 922643, 902160, 959092, 1005290, 1008610, 960804,
937248, 940620, 943938, 883076, 865207, 933327, 976655, 1031360,
1058880, 961778, 985520, 955971, 969862, 1009900, 987190, 989273,
921276, 920787, 930174, 911838, 933313, 922596, 914878, 957902,
876257, 895926, 952150, 923919, 926859, 923527, 927735, 928503,
892828, 995379, 947679, 977435, 976625, 942105, 913597, 882141,
917246, 907299, 891486, 941529, 941772, 800099, 815841, 930200,
941128, 884464, 923812, 879379, 913911, 949058, 993731, 1045280,
1034540, 1025430, 975916, 978428, 999859, 994841, 971176, 888858,
930654, 971434, 968925, 949892, 916630, 910537, 949595, 937921,
921616, 867339, 848929, 888155, 935703, 979187, 1019290, 939381,
970216, 930167, 972908, 1002400, 941191, 897028, 938975, 1014710,
973042, 937481, 962471, 935152, 894708, 876568, 888610, 878759,
851327, 883246, 885535, 877965, 813763, 879522, 929322, 894965,
875978, 906463, 914528, 951854, 938087, 935876, 999789, 959834,
956210, 940989, 924133, 910287, 932110, 919401, 911574, 898545,
958730, 954123, 869671, 943348, 964127, 909025, 892257, 914355,
855567, 855702, 854819, 897586, 928634, 960708, 937632, 955937,
957025, 881919, 903680, 849585, 820907, 881141, 864511, 901470,
950156, 877998, 965669, 900428, 843767, 874745, 919159, 924631,
909799, 937237, 911225, 906605, 885593, 809754, 895999, 908730,
929276, 970930, 977638, 949401, 956915, 927276, 932375, 948427,
945532, 936130, 939861, 912497, 880130, 919125, 927849, 970948,
1055270, 1026500, 985925, 974360, 982399, 925458, 908299, 943412,
948032, 940892, 949360, 936426, 903015, 925445, 942133, 927179,
930672, 912620, 888051, 912387, 864840, 886503, 906918, 929537,
918701, 917969, 847099, 904589, 989391, 920948, 930179, 960171,
986318, 983460, 919676, 898713, 902801, 917170, 912362, 847061,
845588, 897543, 876028, 964184, 987059, 944312, 925017, 894575,
867588, 879958, 889496, 870307, 845288, 854748, 913936, 888492,
890436, 905451, 907420, 905456, 935991, 969840, 975440, 947622,
867392, 934079, 887666, 892083, 923997, 958925, 963207, 890248,
951186, 943646, 948268, 951393, 912554, 977743, 919811, 895960,
910260, 909369, 975736, 954341, 939240, 977999, 966727, 938614,
920973, 1007890, 953526, 957016, 929140, 930453, 998118, 912251,
920108, 989153, 1045000, 1017550, 959262, 980551, 1027410, 947062,
940783, 942126, 837459, 866022, 878320, 895351, 858989, 894215,
867868, 883938, 856732, 823881, 888770, 906134, 912722, 935772,
905263, 889640, 900278, 875054, 825739, 892575, 920105, 972104,
960363, 892918, 880336, 840412, 910178, 915242, 879987, 849759,
883534, 890549, 872077, 905716, 926147, 939382, 919479, 961918,
933383, 846676, 852364, 916236, 840896, 792093, 820500, 815606,
876403, 865291, 852745, 837287, 855969, 831306, 845224, 849725,
883729, 926927, 916815, 944420, 908005, 839642, 885895, 876935,
885207, 898144, 916533, 1002510, 949576, 935576, 963358, 1022180,
975078, 950961, 943272, 899457, 959042, 986604, 976398, 947248,
933284, 898610, 921735, 914942, 942017, 881166, 903613, 879955,
819737, 931703, 894389, 900946, 902107, 937767, 951095, 960041,
908839, 932155, 865217, 941375, 923479, 896501, 889724, 936999,
946339, 955756, 927120, 912571, 908747, 937349, 964882, 912471,
993665, 955598, 978131, 893119, 896546, 828844, 892837, 835386,
812417, 872018, 917187, 922758, 961863, 927637, 914074, 908433,
930057, 973734, 954980, 956651, 973410, 988607, 1013390, 1089030,
964503, 1022490, 971697, 901382, 968437, 958994, 1004050, 986790,
922464, 865058, 870214, 867854, 887498, 924275, 872469, 869588,
857756, 817980, 923610, 964840, 943711, 880945, 847964, 885253,
883534, 869991, 878896, 923291, 924365, 897950, 956639, 929779,
860518, 919874, 936257, 930733, 931383, 911396, 924607, 948419,
972368, 974827, 920521, 906830, 907449, 955677, 929287, 1018030,
947969, 892431, 899241, 923193, 922360, 877940, 973864, 976448,
953455, 907636, 936571, 900973, 953012, 984395, 872300, 862410,
885910, 848132, 847556, 874316, 893027, 903071, 851972, 921815,
980647, 986173, 944831, 887871, 875745, 870847, 873082, 834905,
811922, 870298, 895649, 860714, 827873, 880338, 892338, 903563,
980869, 993222, 948715, 948173, 964272, 988043, 1011590, 973404,
932339, 875923, 939319, 891710, 909434, 899593, 912741, 918924,
887566, 895463, 894017, 815448, 884780, 873620, 894504, 853621,
863392, 929579, 890993, 844935, 857598, 841632, 819286, 824880,
857971, 824690, 862980, 865185, 860043, 872559, 894698, 899778,
890024, 893026, 879788, 886901, 938169, 924834, 852019, 840883,
876874, 875575, 943886, 926146, 917765, 916379, 864710, 821957,
849715, 806935, 835072, 812078, 832078, 884370, 911400, 873567,
862268, 863430, 866492, 879431, 910115, 804396, 811963, 835491,
859873, 915265, 931320, 898477, 924066, 880763, 898338, 938388,
924763, 955412, 934841, 912292, 897216, 967953, 970040, 935808,
888782, 847057, 923007, 878794, 859861, 894447, 915167, 931815,
914111, 951145, 848550, 856854, 904465, 916110, 893854, 848637,
860359, 882332, 921468, 929011, 861587, 909885, 952106, 988972,
929745, 914016, 934049, 964434, 906880, 914411, 929279, 923990,
987308, 923477, 942395, 956575, 874679, 916281, 951387, 991566,
938034, 868186, 882627, 902087, 907636, 863756, 945794, 986608,
911096, 937474, 952648, 910945), `1984` = c(1002060, 1000070,
1019910, 965531, 948761, 944650, 1011870, 1058170, 1050910, 1038020,
1000010, 1007300, 952800, 973240, 1006110, 1086190, 972950, 998612,
992277, 1018500, 1099870, 1072070, 1115260, 1156830, 1070370,
1038790, 1106410, 1054710, 1030360, 1047140, 1044980, 987411,
993393, 984583, 964019, 996278, 1043880, 1095360, 1090880, 1085600,
1118550, 1058330, 1029530, 981273, 967244, 972289, 908978, 939688,
925841, 964304, 1038510, 1002900, 1005480, 1012960, 1024090,
942840, 1009880, 1095800, 1052540, 1022630, 1001880, 1090740,
1033630, 1033370, 952437, 1006710, 967599, 983209, 942773, 923522,
976983, 908515, 889088, 983970, 976540, 972205, 947159, 956564,
938003, 1046860, 1002170, 1003760, 967155, 951536, 921508, 980382,
1130260, 1087770, 1016790, 1003050, 1040020, 1074120, 1120930,
1035360, 1067960, 1061520, 1057190, 1056000, 1048090, 1025860,
1017110, 1086080, 974165, 1006650, 1011590, 1022430, 988790,
1015250, 1007000, 1020160, 945176, 976879, 968203, 949101, 952679,
944642, 895421, 932820, 1017480, 1017970, 915367, 910908, 888370,
960340, 1003700, 990789, 993323, 1008380, 1146480, 1164130, 1202360,
1087780, 1099320, 1083870, 1088680, 1019340, 1009680, 1050350,
994209, 1039910, 1017990, 1009820, 1035500, 985882, 1008020,
976167, 1033160, 932432, 1015700, 1067100, 1077590, 1028980,
997666, 1070560, 1105100, 1083760, 999734, 1001750, 1000910,
983770, 935295, 938057, 938886, 1047490, 1029300, 1012250, 1068740,
1067240, 1100280, 1146630, 1100930, 1106420, 1114040, 1081360,
1081180, 1040280, 1027710, 1043480, 995498, 1033620, 1080840,
1041330, 1035320, 1011650, 969177, 964845, 936471, 976931, 991124,
980054, 966276, 915520, 955758, 929735, 971236, 941316, 962117,
955609, 934070, 917110, 894117, 936079, 972049, 912943, 967944,
1002480, 963939, 954871, 945323, 959084, 995638, 955895, 959761,
1004780, 1025780, 946690, 953301, 945489, 934770, 970068, 963373,
1029290, 941854, 986535, 1034640, 1013990, 1077870, 1059990,
1016650, 1011600, 976862, 970673, 994157, 996447, 1005130, 972913,
971831, 972654, 969194, 1026250, 900974, 961799, 974164, 912489,
964487, 1010380, 925106, 1001880, 921212, 963308, 992332, 1018740,
1002800, 981644, 1024920, 986411, 1042940, 1045100, 1006810,
983494, 940017, 966286, 1016720, 1062720, 1010600, 1084520, 1059180,
1058150, 1055990, 1075310, 1122120, 1007100, 978034, 948301,
981054, 1034510, 1059390, 1050070, 975140, 987022, 953130, 927067,
1029230, 1053560, 1025570, 945197, 979755, 965835, 929000, 913568,
880032, 914797, 874514, 872814, 952435, 1039780, 1057400, 972737,
985538, 963560, 952365, 967654, 967085, 1009300, 1001870, 1002970,
939424, 961496, 993708, 1043400, 1034590, 1013790, 966220, 1006150,
1010730, 945950, 959092, 1006380, 959388, 976911, 975416, 917283,
1034290, 1024170, 1092870, 1070110, 1039870, 1094860, 1010020,
978208, 989551, 1033610, 975283, 942239, 991141, 1040220, 1069460,
1045260, 977570, 1021290, 993779, 1043680, 1002780, 1006650,
1018160, 1058270, 1075090, 1034720, 1028840, 1106030, 1037680,
980136, 1036220, 1054160, 1064820, 1066480, 1040140, 1050100,
1032520, 972825, 961377, 1055090, 1104840, 1149690, 1161060,
1034270, 1057340, 1025510, 1036080, 1052490, 1044760, 1050600,
977542, 974752, 983178, 991945, 1013570, 1006900, 1022880, 1063540,
931007, 958913, 1012620, 992611, 1039120, 1059360, 1021670, 1044630,
1016310, 1073480, 1031420, 1047000, 1015800, 984067, 985589,
958547, 1010100, 994336, 975250, 1003440, 1031000, 917528, 933645,
1036900, 1036060, 986511, 1044260, 969007, 951850, 978210, 1002300,
1085920, 1114810, 1123160, 1066220, 1029160, 1075700, 1066110,
1047420, 952192, 983989, 1041090, 1004740, 996400, 984392, 995661,
1005890, 979081, 968419, 909893, 895264, 900240, 971567, 1010150,
1081680, 1024420, 1037110, 1030740, 1080700, 1106240, 1037600,
982443, 1013020, 1082860, 1048600, 1011000, 1030080, 1034940,
1000020, 972236, 998366, 963267, 940645, 985633, 1004530, 973004,
942117, 991922, 1048370, 1032330, 987941, 1002420, 974970, 987184,
989594, 981024, 1102600, 1077120, 1075210, 1052520, 1039230,
1041220, 1075600, 1037110, 1012540, 987678, 1051020, 1046650,
995131, 1065690, 1045720, 1021480, 1028060, 1051130, 980171,
994780, 1007690, 1011390, 1033600, 1088250, 1029170, 1016400,
1027110, 952150, 976119, 889376, 875692, 954911, 974542, 1015320,
1062620, 1003040, 1048920, 984755, 914052, 990860, 1033010, 1012560,
1010780, 1016940, 1027560, 1022050, 996303, 927519, 986078, 999131,
994760, 1043930, 1052670, 1050600, 1035500, 990602, 1016770,
1043220, 1025110, 1001090, 1019790, 1023410, 995549, 1054810,
1074960, 1118560, 1162050, 1126380, 1097610, 1067110, 1078840,
982464, 961653, 995831, 1028590, 1029130, 1062770, 1040050, 996070,
1022580, 1014530, 975105, 987389, 1007350, 1003510, 1014190,
970182, 993585, 1040550, 1035720, 1042740, 1037310, 982290, 1052470,
1091100, 1017270, 1045720, 1065270, 1089950, 1074520, 1019770,
1004000, 975143, 998667, 985934, 937337, 944875, 986998, 975722,
1043660, 1047770, 1012310, 1008410, 948620, 963653, 950474, 973535,
967643, 951105, 946034, 1020040, 999877, 963283, 955224, 1019060,
1003990, 1036070, 1042780, 1035340, 1004180, 930005, 1021550,
971515, 1028890, 1057990, 1070390, 1082340, 1022240, 1058550,
1048420, 1030540, 1008510, 997656, 1092250, 1009940, 968578,
983030, 985651, 1035850, 1016190, 1036180, 1054260, 1037990,
998450, 961117, 1014000, 987142, 1005250, 935534, 987281, 1068200,
988796, 1011060, 1081630, 1204510, 1174130, 1104850, 1145650,
1156670, 1101950, 1057390, 1041430, 963678, 964411, 977223, 1029880,
957333, 1006210, 980505, 986562, 928671, 891170, 960389, 986654,
988312, 993995, 965063, 973837, 1011890, 967299, 958583, 969560,
997429, 1046230, 1081650, 942295, 926946, 896855, 1002520, 1025350,
984599, 930811, 951037, 984030, 963101, 990648, 984514, 987183,
980132, 982876, 928110, 926459, 952037, 1039370, 974626, 895326,
915669, 907458, 962938, 931751, 934971, 916106, 978791, 940541,
942729, 916563, 945785, 1002240, 1002390, 1000650, 975646, 894010,
943385, 927707, 990070, 965986, 990821, 1083290, 1044040, 1024740,
1057180, 1096340, 1064020, 1001450, 1037240, 968369, 1054030,
1020780, 1010140, 1017800, 974076, 934358, 929015, 920560, 971965,
921618, 947473, 944315, 900384, 1007240, 961140, 973046, 979823,
984544, 999374, 1006890, 976487, 1024240, 1004240, 1032340, 1050030,
994178, 948900, 1020730, 1026140, 1037640, 1001650, 968146, 984364,
1001260, 1016680, 971941, 1037490, 984805, 1050670, 961407, 972363,
903925, 934919, 949805, 936616, 984350, 1045790, 1024000, 1052610,
986799, 979463, 988785, 1007240, 1035630, 1021130, 1003140, 1013410,
1028940, 1082490, 1152950, 995820, 1075220, 1039420, 985845,
1049760, 1046560, 1103480, 1100900, 989482, 955410, 960954, 947264,
951160, 998621, 941193, 915580, 927641, 872894, 956655, 1015280,
1001590, 985723, 943053, 1047790, 1017340, 957192, 964104, 1038120,
1029960, 1010850, 1046090, 995615, 931798, 996838, 1014800, 1018570,
951729, 967112, 1018050, 1012750, 1035050, 1045950, 988856, 968771,
970743, 1030310, 1055360, 1141010, 1075840, 1065320, 1091440,
1048830, 1021920, 1005390, 1056350, 1019950, 1018270, 1007800,
998955, 953700, 1018710, 1074550, 948261, 933755, 963827, 907303,
932266, 914722, 961189, 975633, 966402, 1009100, 1040620, 1024720,
965553, 894419, 914940, 929924, 967878, 943255, 898726, 965814,
974021, 919532, 919919, 936128, 946241, 951070, 1061750, 1077220,
1048620, 1060040, 1068520, 1100650, 1113960, 1088460, 1013890,
967046, 1045600, 996194, 1029060, 999818, 983564, 994237, 951439,
967308, 995876, 916471, 993239, 997987, 999109, 974806, 986397,
1028770, 1013760, 958635, 944569, 928161, 901993, 894981, 923108,
835117, 904889, 926292, 924134, 941163, 984504, 1021650, 981095,
998056, 946780, 943111, 1018230, 1001650, 973420, 981527, 967898,
987276, 1031930, 998472, 983171, 989772, 999518, 926283, 990677,
928979, 962277, 926734, 964293, 977603, 1020990, 979672, 976001,
985040, 963059, 963625, 970406, 886886, 927918, 937694, 929209,
1011550, 1025520, 973821, 1015490, 960269, 932757, 965094, 1000610,
1038290, 1052300, 1057030, 1030130, 1077030, 1038040, 1010310,
958227, 923529, 960445, 924374, 927915, 953151, 943000, 1010900,
1000050, 1062900, 986685, 964139, 1014200, 1028180, 1033280,
994306, 1008440, 981723, 1024770, 1017880, 932074, 959759, 986038,
1045800, 975900, 967200, 990215, 1002920, 963276, 984368, 1002520,
1015110, 1061420, 992617, 999764, 1049270, 944453, 1029590, 1048560,
1097350, 1034690, 1008070, 1008230, 1020830, 973289, 934542,
1020000, 1067910, 1005980, 1024190, 1037440, 961683), `1985` = c(1021350,
1094380, 1075070, 987114, 973063, 973693, 1025740, 1089890, 1091160,
1089390, 1040070, 1048990, 972511, 969105, 1020960, 1074130,
990345, 1027930, 1015560, 1012700, 1126790, 1086510, 1127310,
1162430, 1107010, 1080820, 1116200, 1066190, 1026080, 1033950,
1069630, 1023720, 1036370, 1020110, 973912, 958206, 1046400,
1117560, 1114860, 1076690, 1124310, 1097370, 1093170, 1035730,
1029180, 1023470, 952366, 981441, 900906, 974902, 1068540, 1089430,
1078310, 1029700, 1073150, 959650, 1026120, 1094100, 1108780,
1068640, 1065840, 1135110, 1051260, 1015290, 914474, 999444,
983531, 994673, 984277, 956055, 975942, 924714, 951946, 1023250,
1034700, 1012020, 970878, 981319, 964318, 1081650, 1038870, 1024770,
1011250, 950448, 959805, 1041410, 1165210, 1078220, 1020090,
1023960, 1052810, 1097000, 1168560, 1047690, 1103150, 1105790,
1075220, 1053260, 1052200, 1021280, 1015330, 1065580, 969482,
1008330, 1016440, 1018810, 1013630, 1017550, 996448, 1083160,
1006710, 1003050, 949585, 947833, 976621, 981975, 942446, 958572,
1008430, 1028020, 932933, 958389, 957189, 1010120, 1024810, 1011560,
986275, 982699, 1131820, 1163460, 1189070, 1059490, 1071040,
1042100, 1063980, 984189, 968604, 1010800, 974617, 1025090, 1017950,
1014070, 1058820, 1021690, 1032530, 1008240, 1041650, 962771,
1073480, 1110040, 1106080, 1070130, 1077220, 1081240, 1093040,
1108080, 1013760, 1013040, 1045950, 1031020, 963675, 973839,
985651, 1057970, 1056020, 1053990, 1081800, 1080960, 1105200,
1145340, 1102460, 1132320, 1158210, 1091660, 1116620, 1082840,
1073900, 1059970, 1011780, 1031290, 1089770, 1061190, 1053050,
1035530, 1004970, 988375, 996608, 1024580, 1021060, 1037150,
1003650, 971503, 1037630, 968187, 985694, 963930, 969936, 962453,
968391, 971953, 953983, 985726, 1028720, 949203, 1016640, 1061440,
1039520, 1023130, 987646, 1018860, 1079820, 1012430, 1024700,
1031380, 1029280, 959031, 975973, 957534, 947313, 1041970, 1046850,
1121460, 1035420, 1087650, 1116140, 1086410, 1120850, 1086580,
1037050, 1053690, 1028480, 1040130, 1063570, 1033070, 1052790,
1018660, 1014970, 1020270, 1033830, 1080710, 976212, 983542,
981598, 904104, 999984, 1059650, 996017, 1071540, 964148, 989639,
1023290, 1062710, 1045780, 1013440, 1052260, 984970, 1041230,
1091990, 1044260, 963554, 932622, 952105, 1011260, 1053180, 1022280,
1109440, 1091150, 1063540, 1083840, 1083090, 1139820, 1013040,
1013480, 974725, 1001930, 1069390, 1117970, 1097210, 995126,
977550, 935763, 904683, 1044110, 1078300, 1037190, 988199, 989489,
965022, 920824, 954745, 979061, 996901, 990552, 1027770, 1075380,
1125720, 1086880, 969120, 970127, 987197, 957061, 992497, 987145,
1015700, 1007820, 1029150, 1007460, 1019450, 1062030, 1089670,
1044850, 1045430, 987250, 1022230, 1041870, 982792, 975530, 982708,
923479, 978494, 1004990, 933605, 1064240, 1026180, 1057950, 1081520,
1054500, 1121240, 1053840, 1013340, 1045310, 1092370, 1061510,
969887, 993582, 1080250, 1124450, 1076530, 1032080, 1043030,
994263, 1031420, 1028260, 1075380, 1085270, 1114850, 1162250,
1106660, 1120720, 1195560, 1099060, 987625, 1043750, 1064360,
1097830, 1112930, 1101810, 1108750, 1070210, 1000550, 997085,
1093050, 1126410, 1137260, 1154320, 1054840, 1088910, 1048100,
1035780, 1049050, 1044170, 1073770, 1046770, 1037360, 1018160,
1019670, 1052540, 1015970, 1038530, 1050750, 964648, 982171,
995989, 971132, 1055050, 1044020, 1024210, 1013750, 970807, 1062790,
1021700, 1018670, 992888, 987706, 1013390, 985318, 1027200, 1017820,
975087, 1026090, 1072620, 985271, 985499, 1077450, 1104670, 1052110,
1062480, 1018590, 993447, 1007210, 1028360, 1144940, 1134730,
1143590, 1101740, 1060590, 1071910, 1068450, 1046740, 980701,
991895, 1036340, 997469, 1006250, 1040440, 1074270, 1074770,
1021270, 992203, 957090, 951398, 965087, 1027680, 1020400, 1053860,
1016910, 1040100, 1006720, 1035610, 1060770, 1026040, 944957,
977938, 1083530, 1046120, 996885, 1005470, 1005580, 956758, 934797,
959650, 948261, 919106, 968707, 1018080, 960160, 966815, 1017230,
1067570, 1043710, 1041710, 1051520, 998942, 996127, 1000090,
1003090, 1142990, 1098880, 1082720, 1076940, 1051450, 1108110,
1111560, 1075310, 1040020, 978974, 1034260, 1027080, 970152,
1044030, 1012940, 1028540, 1051980, 1074050, 1028290, 1010180,
1025790, 1080130, 1081750, 1098850, 1051130, 1046270, 1064790,
1017520, 1019990, 929261, 908845, 996654, 1031230, 1072100, 1098600,
1020800, 1059540, 1006190, 954043, 1013300, 1043050, 1020990,
1036320, 1013450, 1027040, 1026300, 990808, 944690, 1007830,
1017830, 1043830, 1091640, 1079290, 1074640, 1034330, 980110,
1014150, 1014900, 999732, 1006570, 1016210, 989046, 979080, 1027110,
1035650, 1095850, 1150240, 1134410, 1109500, 1069650, 1084630,
998536, 958228, 990056, 1039020, 1019260, 1048210, 1030770, 984440,
1002270, 1002180, 968861, 977800, 983742, 1014870, 1023130, 998214,
1034560, 1091750, 1086080, 1091220, 1090960, 1031510, 1120080,
1094830, 1037150, 1038530, 1062460, 1101970, 1100540, 1024150,
1015500, 977806, 991393, 979655, 961059, 967017, 985361, 978888,
1031240, 1031530, 1038990, 1015620, 971778, 1004890, 1013410,
984079, 1005480, 1010500, 1024450, 1098150, 1050260, 1056410,
1033820, 1052820, 1040050, 1022520, 1041460, 1028050, 1000150,
963189, 1079730, 1007590, 1037480, 1114400, 1105130, 1095670,
1034360, 1055570, 1038020, 1056920, 996605, 1012860, 1109360,
1036470, 965899, 987049, 994115, 1049690, 1021790, 1048170, 1073090,
1047180, 1039650, 980708, 1019200, 1022080, 1011630, 956812,
1020800, 1057420, 979309, 1000090, 1060140, 1181830, 1147560,
1063190, 1108890, 1112520, 1050190, 1044170, 1010290, 938725,
928339, 962172, 1035520, 977547, 1026760, 986437, 987593, 915011,
863238, 950057, 1004700, 1004950, 1012450, 983121, 962726, 998245,
955366, 948180, 991555, 992652, 1044960, 1111840, 934334, 927439,
894302, 1016000, 1035360, 962097, 923702, 922655, 957903, 950035,
952383, 984975, 978817, 1003750, 972248, 943131, 975546, 983827,
1066840, 1010940, 950795, 923771, 904508, 950843, 936727, 944270,
930238, 994412, 954915, 970893, 923171, 947030, 1029170, 1007800,
1005950, 990951, 921052, 1006990, 955148, 1013100, 1044860, 1055270,
1140630, 1104570, 1060340, 1061280, 1110900, 1117780, 1036570,
1075780, 987361, 1094710, 1061260, 1037140, 1070250, 1028990,
962958, 928535, 929829, 975985, 934909, 977305, 1027830, 967497,
1078620, 1015300, 999076, 987125, 1040650, 1049210, 1028540,
982018, 1023730, 1036630, 1092760, 1065870, 1006700, 957952,
1010060, 1017950, 1039250, 988225, 952003, 961576, 999134, 1045360,
969353, 1057470, 995324, 1066930, 1016220, 1013680, 971464, 1036200,
1020840, 1007130, 1046580, 1076960, 1024870, 1052460, 996002,
1012310, 1000680, 1012040, 1059650, 1036040, 1025480, 1056310,
1112870, 1172700, 1209070, 1041780, 1078670, 998526, 948174,
1002120, 996399, 1096340, 1136310, 1005120, 1025730, 982068,
987001, 1008190, 1011640, 1014480, 982269, 966615, 958693, 1042710,
1072710, 1065520, 1045210, 1029820, 1077670, 1075100, 1030000,
1004910, 1055870, 1057640, 1020730, 1055680, 1001120, 944426,
1020620, 1003540, 1047560, 975863, 1001900, 1041020, 1042630,
1036270, 1044160, 991149, 985303, 959085, 1019410, 1068310, 1167850,
1113730, 1098410, 1123700, 1055920, 1049340, 1046190, 1066840,
1013110, 1039630, 1035280, 1027500, 972646, 1041290, 1083860,
943497, 939263, 925922, 895484, 924893, 908381, 940647, 979819,
975334, 989437, 1049330, 1036320, 995692, 924946, 957673, 961002,
994157, 981129, 934094, 996533, 990682, 934747, 936881, 959346,
949600, 951798, 1047620, 1066040, 1033030, 1050740, 1069720,
1079700, 1084390, 1080900, 1026220, 976325, 1050660, 1016100,
1070870, 1060710, 1032110, 1016690, 944477, 1000140, 998698,
932323, 986721, 1001040, 999385, 974750, 998157, 1030400, 1041420,
958477, 974992, 953719, 934677, 961219, 952854, 859902, 894356,
917134, 907929, 921901, 981703, 1011100, 950495, 998588, 941956,
941326, 1020610, 1015780, 992481, 1009180, 982969, 977691, 1025550,
983567, 996259, 1011710, 1025550, 988758, 1063910, 987506, 1037350,
1009630, 1018400, 992452, 1030330, 1042830, 1048460, 1023910,
979924, 976993, 978045, 917488, 986238, 995352, 989671, 1044690,
1035300, 974210, 1018240, 1004530, 986418, 986915, 1037130, 1079440,
1081050, 1100430, 1048930, 1084900, 1048730, 1004660, 974386,
936034, 990043, 968562, 935786, 989651, 985573, 1043350, 1015710,
1116720, 999926, 990624, 1025660, 1042560, 1068800, 1005840,
1030040, 993396, 1034240, 1026910, 951319, 962531, 975040, 1044660,
992075, 1002770, 987471, 1014530, 964335, 975950, 1029140, 1046920,
1078910, 1004200, 1021770, 1099020, 996749, 1080480, 1056870,
1115110, 1045150, 1032830, 1015060, 1058140, 1008420, 955950,
1039200, 1084570, 1027330, 1041160, 1058540, 959970), `1986` = c(900452,
980215, 940919, 832983, 820954, 820114, 866687, 948293, 945105,
959374, 895054, 909743, 851263, 865685, 870168, 919835, 868633,
909806, 910604, 855186, 973113, 917401, 946400, 1010060, 964870,
938426, 972213, 914138, 883336, 890478, 917799, 880808, 880158,
887385, 853117, 866166, 932451, 999094, 988188, 928786, 990176,
944501, 971230, 936685, 907432, 900347, 835318, 893811, 790929,
890221, 951203, 993254, 1007740, 887592, 921938, 812963, 905700,
991368, 995392, 950993, 979921, 1014530, 933120, 896940, 813641,
870320, 865756, 884714, 870907, 848517, 849254, 802664, 808168,
898427, 884961, 851534, 843350, 812802, 826918, 920973, 892198,
870941, 863970, 838073, 852274, 941157, 1060100, 970301, 879714,
902638, 937687, 963912, 1031460, 909383, 986845, 1011010, 994008,
973484, 930551, 935140, 934092, 934330, 858977, 928096, 950288,
912922, 884618, 893104, 858227, 958202, 868742, 849901, 810211,
821057, 849144, 866626, 830177, 848343, 907760, 926057, 845520,
843441, 831423, 874470, 877463, 868838, 844538, 803883, 963916,
1035990, 1045740, 941766, 919095, 917767, 890306, 831618, 801156,
840289, 820167, 871240, 859454, 855877, 886816, 893010, 897521,
900652, 937293, 855047, 989393, 1029540, 986408, 928742, 935278,
946540, 946649, 945081, 875837, 872761, 947721, 895031, 841538,
874921, 831612, 885679, 908787, 901179, 949926, 954829, 980788,
1000490, 954815, 990465, 1022940, 981759, 991846, 968308, 955464,
932099, 899775, 917721, 963261, 939238, 952107, 941870, 896476,
901036, 892612, 905621, 909687, 919150, 893516, 865999, 944303,
904509, 892396, 883517, 882157, 836367, 874017, 867939, 844443,
839604, 894004, 841051, 958616, 986196, 964175, 908330, 872539,
912187, 968809, 869902, 925235, 934525, 924332, 889168, 920286,
885503, 870786, 958679, 958705, 1032490, 947801, 954416, 957311,
907697, 930025, 894730, 881004, 912695, 909122, 911942, 906774,
877695, 933530, 897743, 883060, 888837, 898204, 914668, 843255,
853305, 892899, 834690, 903235, 950835, 875382, 899386, 814551,
844230, 858711, 882279, 897475, 858774, 888869, 838586, 891804,
954089, 910119, 829973, 836101, 823432, 908716, 927414, 900771,
980787, 963575, 934982, 930447, 949189, 1010600, 861522, 906936,
869422, 903639, 939227, 1001070, 1017090, 961770, 926960, 911381,
842249, 949085, 984371, 946503, 906252, 874801, 848973, 802626,
848233, 879804, 906522, 872955, 915857, 957506, 999944, 975068,
831107, 840009, 887067, 881443, 934088, 878196, 921329, 895008,
902003, 888600, 932393, 958782, 959059, 902392, 898700, 841546,
912437, 950982, 900793, 884029, 829501, 769200, 849679, 879026,
819482, 948939, 910276, 919668, 949528, 917556, 983400, 935878,
849727, 885930, 957379, 908644, 862901, 852339, 928679, 957751,
920403, 869153, 880658, 866071, 902641, 927300, 960639, 958025,
989881, 1023490, 975516, 987408, 1054600, 973668, 862405, 886353,
880196, 913320, 933282, 930628, 955905, 919595, 877847, 887098,
960045, 982606, 978658, 994257, 922370, 973377, 939986, 910682,
908835, 888392, 936369, 914081, 915918, 900239, 881226, 935028,
909733, 923632, 936510, 857283, 899526, 865425, 841504, 933973,
887123, 873761, 905042, 867227, 933439, 940222, 905769, 880483,
894918, 922797, 902828, 961459, 920963, 882499, 895705, 935784,
863771, 861087, 956725, 1000490, 950887, 948696, 925898, 927228,
901690, 915002, 1026430, 1002420, 1001640, 963374, 941246, 934622,
912266, 908110, 897133, 888222, 904247, 895143, 927514, 950343,
955772, 902247, 852307, 840427, 829252, 825586, 872020, 878321,
909708, 929138, 913717, 934331, 866361, 920955, 956465, 915563,
839605, 863942, 908614, 872267, 839624, 869735, 859917, 846941,
849814, 846753, 845031, 818723, 860925, 909895, 839265, 842639,
911157, 951796, 918224, 946340, 936991, 898126, 908973, 879803,
905004, 1008090, 969296, 963146, 946596, 922247, 976966, 978143,
963904, 945931, 855885, 904141, 901654, 871563, 925880, 889975,
898106, 926218, 970291, 938900, 919611, 922643, 973824, 937449,
961554, 988916, 933854, 960353, 920243, 905334, 797496, 778382,
853683, 928090, 937100, 970100, 911518, 946678, 908752, 858591,
875302, 920186, 919124, 908938, 892417, 935890, 920268, 897405,
888311, 927115, 960596, 956573, 968798, 981619, 955169, 926409,
869595, 915905, 895117, 902699, 908021, 937056, 890629, 891579,
946923, 979101, 1043350, 1080580, 1032580, 987129, 940344, 957479,
857260, 811574, 823916, 918877, 904759, 940234, 934990, 858545,
865982, 870586, 842570, 870905, 899840, 945343, 941619, 919907,
950626, 993907, 988865, 965105, 969926, 913606, 1008790, 971637,
931359, 918420, 945220, 984680, 970399, 969755, 967593, 933733,
879108, 839881, 809018, 846883, 859998, 860261, 913135, 882041,
906959, 876661, 826260, 890542, 942534, 909741, 927066, 953612,
955488, 980277, 949661, 953504, 946192, 932916, 885651, 899865,
898701, 871824, 851886, 832122, 960016, 860400, 888914, 959841,
950262, 941942, 859228, 873008, 880301, 949098, 897485, 851622,
940226, 896135, 820358, 853834, 862056, 876981, 878254, 915446,
955044, 916888, 906227, 861205, 884760, 897495, 931712, 866475,
908266, 924603, 855675, 879281, 895025, 1005980, 971694, 891294,
906675, 920438, 873056, 881551, 868115, 829313, 788781, 857344,
925043, 854634, 907179, 880730, 903889, 821904, 783455, 844515,
884679, 879127, 906182, 859311, 868060, 899449, 838987, 846112,
886167, 893178, 932110, 989338, 836770, 878566, 869615, 938533,
963667, 865366, 816790, 832004, 873310, 849541, 800513, 837000,
819206, 853648, 823403, 850925, 908788, 880038, 946504, 877000,
842543, 794959, 793970, 822283, 813697, 838053, 832231, 873679,
832501, 872851, 812361, 818362, 890049, 871964, 868678, 887244,
854394, 888403, 836269, 902430, 913014, 897965, 961720, 953975,
917853, 972456, 1005850, 991200, 911881, 933821, 845094, 961078,
948966, 913942, 953430, 922675, 872991, 838097, 825170, 851685,
830371, 876411, 885263, 846362, 935528, 880902, 888078, 883999,
944167, 967476, 944149, 910935, 910361, 897782, 954991, 950406,
904978, 893067, 933936, 936272, 949470, 906094, 829740, 865663,
890756, 965937, 877660, 921203, 856523, 930813, 887434, 901252,
853524, 919322, 904010, 862904, 919029, 941623, 928009, 968267,
944110, 938383, 926054, 931367, 948907, 906881, 885371, 926675,
988746, 1059210, 1093010, 909839, 962544, 907987, 877685, 877839,
856308, 925522, 991068, 894196, 962554, 853957, 876239, 919339,
888872, 882001, 877350, 897439, 901760, 937169, 951349, 942885,
926563, 918890, 937770, 953081, 909919, 886909, 921034, 931069,
911729, 943106, 910338, 852628, 929128, 907720, 953072, 875960,
885417, 915942, 932722, 928187, 942838, 938319, 932553, 865502,
880473, 965841, 1033720, 989924, 1002870, 1024260, 953925, 940894,
924843, 957526, 917533, 893153, 860289, 851943, 812486, 887610,
944134, 790690, 803566, 803506, 804025, 828927, 855190, 894581,
909986, 912407, 899753, 954901, 937206, 899638, 847824, 898617,
918406, 926988, 874506, 804374, 872765, 830727, 789038, 792480,
840972, 797408, 779561, 895760, 934039, 915241, 927089, 938454,
915421, 926061, 898128, 846730, 797015, 877368, 881406, 925850,
901397, 878360, 865120, 795396, 868239, 876791, 842819, 894838,
889872, 888970, 855117, 888014, 912740, 917521, 868226, 884036,
867019, 847709, 877925, 798256, 720735, 743163, 765515, 783194,
819688, 821702, 838014, 788334, 860009, 803474, 826071, 904210,
882477, 878427, 904622, 873516, 872181, 889932, 862185, 868644,
901731, 902508, 896625, 989853, 929242, 975158, 940076, 931859,
882954, 951493, 969490, 941111, 888128, 863111, 827562, 806434,
754786, 868150, 856922, 846435, 912891, 898169, 847646, 862293,
875162, 898489, 896099, 945113, 985919, 1003560, 1016240, 918401,
958330, 911177, 918296, 869845, 834180, 857415, 844748, 823374,
873549, 868652, 912041, 876600, 970569, 871877, 893658, 928814,
943996, 973672, 919426, 933915, 887829, 928648, 960580, 873132,
854623, 830495, 909116, 862354, 883670, 909540, 901865, 854025,
847010, 915305, 931858, 963088, 867065, 868280, 955958, 854061,
932480, 891537, 964059, 913197, 950986, 899037, 922911, 860142,
798528, 886962, 918071, 902069, 909867, 921985, 805229), `1987` = c(1091550,
1106870, 1112890, 1093790, 1035630, 1058000, 1099650, 1098080,
1125480, 1125670, 1094010, 1113310, 1070190, 1077580, 1122500,
1163880, 1088640, 1142480, 1121410, 1041690, 1149970, 1089150,
1132010, 1176980, 1153820, 1148790, 1149010, 1077790, 1028610,
1048570, 1089970, 1080050, 1073830, 1063670, 1014400, 1042470,
1078240, 1124230, 1107690, 1116270, 1153090, 1129180, 1123460,
1078820, 1042150, 1107880, 998957, 1052620, 1045120, 1098190,
1131900, 1143010, 1137620, 1084080, 1112500, 1064240, 1124260,
1203290, 1204400, 1168250, 1152420, 1170990, 1123230, 1125380,
1055870, 1051430, 1115550, 1134350, 1156160, 1058190, 1019330,
1047900, 1033460, 1090760, 1153930, 1134410, 1047950, 1021560,
1019040, 1096910, 1081070, 1075210, 1040060, 1039710, 1053420,
1086750, 1197530, 1135320, 1051250, 1097520, 1123290, 1173800,
1161640, 1050970, 1100800, 1099480, 1134800, 1145790, 1113610,
1131740, 1098680, 1093220, 1065560, 1089310, 1108700, 1054660,
1033890, 1045770, 1037890, 1102940, 1056330, 1029370, 991981,
988624, 1045450, 1052660, 1021570, 1083640, 1147340, 1132620,
1080310, 1107560, 1060800, 1112610, 1091650, 1093690, 1070620,
1076330, 1151120, 1178350, 1183850, 1131600, 1106570, 1079610,
1093210, 1058220, 1086000, 1076030, 1053830, 1072770, 1034280,
1010760, 1011880, 1014160, 1059230, 1083720, 1124460, 1078840,
1140690, 1157680, 1125670, 1073910, 1087980, 1097220, 1076550,
1063600, 1013290, 1015820, 1112550, 1064670, 1014510, 1060550,
1069010, 1084740, 1058650, 1105630, 1104910, 1112900, 1110000,
1145810, 1120170, 1152300, 1181380, 1149410, 1114900, 1158020,
1087060, 1090420, 1069220, 1078480, 1153350, 1163110, 1130080,
1127900, 1058780, 1099540, 1067320, 1126840, 1101490, 1138610,
1141920, 1102810, 1117490, 1071290, 1088120, 1116180, 1089320,
1091540, 1096180, 1065450, 1070960, 1035270, 1060650, 1062890,
1135580, 1130130, 1116980, 1106940, 1058080, 1077230, 1118820,
975615, 1072330, 1081950, 1069800, 1112630, 1114500, 1080010,
1111070, 1162920, 1158290, 1187840, 1132550, 1139040, 1141540,
1128870, 1124180, 1138850, 1101130, 1164600, 1146190, 1100600,
1131820, 1089820, 1137830, 1104600, 1108600, 1118380, 1090990,
1093170, 1070010, 1075120, 1108630, 1103560, 1087490, 1159870,
1053090, 1090350, 1011920, 1077370, 1069790, 1076280, 1074000,
1045640, 1097340, 1023090, 1055710, 1076410, 1070550, 1012480,
1027830, 1083860, 1121220, 1107740, 1110110, 1122420, 1101650,
1088050, 1096920, 1138230, 1145430, 1050090, 1138140, 1077310,
1098190, 1115630, 1161190, 1189510, 1154600, 1151030, 1156390,
1088670, 1149980, 1172500, 1159420, 1120560, 1116840, 1084040,
1035180, 1072240, 1081120, 1115240, 1070110, 1142930, 1165360,
1171610, 1175690, 1068910, 1035560, 1052360, 1076480, 1147640,
1133640, 1136330, 1108550, 1096110, 1047480, 1112240, 1122670,
1092220, 1068340, 1040570, 982460, 1071980, 1114410, 1093690,
1080970, 1021430, 963665, 986795, 998233, 1031800, 1122070, 1086720,
1050290, 1101870, 1085380, 1128850, 1081140, 1011650, 1045230,
1112820, 1056960, 1100790, 1103180, 1156600, 1154690, 1149160,
1118390, 1071090, 1067830, 1091880, 1113610, 1167270, 1175040,
1147450, 1190970, 1154660, 1174460, 1214030, 1163380, 1112530,
1116330, 1143400, 1129340, 1093030, 1135410, 1101160, 1103990,
1129320, 1132410, 1158630, 1142600, 1140800, 1166640, 1102690,
1098690, 1072540, 1090750, 1077640, 1077360, 1116310, 1102140,
1068390, 1089810, 1064220, 1106850, 1091900, 1131510, 1154190,
1077260, 1141760, 1113720, 1067000, 1120700, 1093550, 1097440,
1132200, 1090380, 1090340, 1058260, 1055710, 1030120, 1050400,
1067890, 1066130, 1106580, 1087250, 1045640, 1062320, 1091590,
1042630, 1053930, 1129300, 1185530, 1120640, 1111630, 1140820,
1115540, 1113170, 1111790, 1196200, 1148420, 1145650, 1122390,
1135770, 1070880, 1083550, 1070330, 1080720, 1058860, 1038350,
1068430, 1093550, 1078690, 1080600, 1076730, 1049330, 1045110,
1040420, 1047730, 1047800, 1055660, 1079070, 1070350, 1064710,
1108970, 1079860, 1152890, 1159790, 1132950, 1066160, 1041200,
1069300, 1047330, 1022170, 1042000, 1045520, 1024260, 1019270,
1029200, 1040050, 1027090, 1079630, 1129770, 1061700, 1078550,
1172830, 1164580, 1111620, 1150260, 1110130, 1093600, 1117290,
1111910, 1119170, 1205570, 1189900, 1186640, 1156670, 1117160,
1182890, 1208680, 1201970, 1160050, 1099850, 1119140, 1131510,
1166460, 1176960, 1136510, 1131730, 1145210, 1157210, 1125770,
1133280, 1139950, 1174970, 1115890, 1132790, 1143690, 1076020,
1099400, 1060610, 1068960, 1016380, 1019960, 1070370, 1113240,
1073330, 1079120, 1051170, 1071220, 1084550, 1056650, 1090280,
1138480, 1128290, 1105310, 1023690, 1070060, 1038510, 1041140,
1042060, 1111560, 1106810, 1086890, 1104670, 1140120, 1113650,
1101620, 1057840, 1063700, 1089060, 1091100, 1107210, 1088450,
1062720, 1077290, 1109650, 1172600, 1208660, 1252790, 1218030,
1174450, 1128030, 1138110, 1116750, 1102550, 1104650, 1144080,
1115760, 1121780, 1124170, 1061510, 1051500, 1057670, 1019910,
1043540, 1072570, 1080050, 1040860, 1019970, 1052170, 1072140,
1101050, 1118240, 1109520, 1080870, 1127150, 1157030, 1121640,
1083480, 1142030, 1146410, 1168950, 1150700, 1138230, 1145890,
1043290, 1001850, 956919, 974005, 1006610, 1028500, 1077710,
1055200, 1065120, 1083120, 1027000, 1116600, 1153450, 1123110,
1113180, 1099740, 1088930, 1097580, 1055840, 1070110, 1093470,
1046070, 1002990, 1023390, 1003610, 1038430, 1020830, 1061950,
1114610, 1053580, 1083430, 1151720, 1105720, 1103430, 1031180,
1046170, 1052560, 1115050, 1068690, 998579, 1033740, 1078570,
1014440, 1044460, 1050660, 1087070, 1103850, 1115650, 1117230,
1083100, 1093390, 1074910, 1094520, 1065370, 1114340, 1062000,
1098180, 1097990, 1084140, 1099710, 1138430, 1146730, 1116710,
1048150, 1029630, 1044670, 1041760, 1026580, 1063040, 1021290,
986777, 1037220, 1089640, 1049590, 1075050, 1025710, 1067380,
1054180, 980567, 1043940, 1060120, 1037760, 1067150, 1015340,
1091660, 1147590, 1078370, 1105640, 1126570, 1092450, 1137470,
1115970, 1047660, 1123500, 1104190, 1126920, 1176270, 1093100,
1016760, 994042, 1030780, 1031900, 1019450, 1054370, 1053040,
1071150, 1028460, 1049640, 1083700, 1045340, 1072730, 1070650,
1044000, 1042250, 991098, 1030640, 1059840, 1080470, 1048170,
1078760, 1040900, 1051940, 1024010, 1037360, 1103450, 1075240,
1039750, 1074290, 1041300, 1064240, 1039460, 1111850, 1096840,
1066000, 1070580, 1063660, 1106200, 1137490, 1180290, 1134410,
1085840, 1079470, 1073310, 1167030, 1129160, 1089460, 1110770,
1087640, 1054620, 1012540, 1024320, 1033270, 1001890, 1076330,
1114370, 1064890, 1106740, 1105400, 1103850, 1098360, 1091670,
1110730, 1091430, 1047810, 1067430, 1077070, 1132930, 1134980,
1112270, 1096460, 1145780, 1173640, 1234350, 1173760, 1169730,
1120650, 1124070, 1169970, 1108200, 1084180, 1096930, 1160360,
1134510, 1124870, 1101380, 1168050, 1196320, 1155550, 1166900,
1156110, 1141410, 1130110, 1112370, 1081820, 1080020, 1056560,
1094800, 1075810, 1089720, 1059870, 1124960, 1185190, 1200630,
1033920, 1118730, 1098200, 1071060, 1068170, 1044920, 1121040,
1156150, 1088400, 1132260, 1037320, 1071000, 1098730, 1120040,
1115730, 1113980, 1184780, 1130640, 1141920, 1160210, 1162760,
1126120, 1136480, 1105240, 1180550, 1135690, 1115900, 1120060,
1148350, 1112250, 1160740, 1146430, 1122100, 1151970, 1197930,
1135910, 1110250, 1127690, 1087170, 1091750, 1115350, 1125780,
1093530, 1074860, 1011100, 1038570, 1111340, 1188820, 1154230,
1119980, 1121160, 1115490, 1102790, 1102400, 1161160, 1123110,
1088890, 1065800, 1038100, 1024730, 1115940, 1114450, 1059330,
1017770, 1035220, 1064080, 1050610, 1082780, 1077540, 1081860,
1044550, 1065440, 1068350, 1116620, 1059730, 1045750, 1099140,
1097170, 1114150, 1065340, 1058060, 1096370, 1087910, 1017610,
1011600, 1048260, 1083790, 1054230, 1112980, 1117600, 1120130,
1111110, 1109210, 1075270, 1076170, 1090970, 1036180, 1002640,
1053060, 1083840, 1137580, 1071690, 1039340, 1076990, 1050050,
1077940, 1115630, 1126800, 1126020, 1084970, 1140880, 1103470,
1092900, 1103030, 1098800, 1070630, 1072970, 1061950, 1077320,
1095680, 1042970, 1007020, 1010730, 1039430, 1044430, 1091720,
1092950, 1100790, 1097110, 1095510, 1069410, 1069050, 1120300,
1095480, 1107890, 1111290, 1098540, 1107010, 1105310, 1066090,
1059060, 1106450, 1091550, 1082620, 1130610, 1079220, 1135710,
1092240, 1082050, 1098760, 1144400, 1131240, 1139800, 1103690,
1081750, 1034080, 1054370, 1073720, 1130700, 1107000, 1067160,
1129040, 1114870, 1063500, 1057510, 1057710, 1084580, 1068630,
1085770, 1119810, 1145070, 1168100, 1055780, 1118330, 1094140,
1115170, 1039210, 993108, 1021860, 1062640, 1055230, 1080670,
1059380, 1097540, 1105900, 1164220, 1079570, 1137420, 1103950,
1142130, 1098850, 1061660, 1094210, 1043110, 1044910, 1069890,
999601, 1031310, 1019120, 1079130, 1025940, 1016460, 1066410,
1077090, 1016500, 1042840, 1122730, 1123720, 1149370, 1088330,
1037690, 1125200, 1037170, 1072870, 1052930, 1111610, 1079710,
1108400, 1078480, 1121100, 1075320, 1032300, 1084160, 1117240,
1088330, 1130870, 1163800, 1077550), `1988` = c(1193100, 1244460,
1256120, 1206470, 1183280, 1201340, 1252190, 1202790, 1200930,
1234420, 1275570, 1261130, 1232510, 1227910, 1207350, 1243090,
1171540, 1213380, 1200430, 1141620, 1208550, 1186180, 1182270,
1244440, 1263480, 1257410, 1235240, 1173420, 1169730, 1143260,
1176410, 1162200, 1201340, 1228530, 1164040, 1195190, 1206530,
1208510, 1179290, 1168230, 1196910, 1230620, 1188350, 1180830,
1124140, 1157120, 1117610, 1169070, 1165300, 1176340, 1178780,
1149790, 1177670, 1159290, 1205970, 1186640, 1263850, 1259960,
1287450, 1218260, 1216640, 1229760, 1213540, 1195050, 1203590,
1202810, 1250420, 1221840, 1202750, 1092420, 1062030, 1139230,
1104060, 1151090, 1206530, 1210750, 1192050, 1158460, 1142440,
1191900, 1226870, 1211110, 1182130, 1173760, 1203420, 1211520,
1290180, 1216460, 1146220, 1178170, 1189370, 1244100, 1203700,
1160670, 1203750, 1198870, 1232430, 1247000, 1213380, 1224850,
1200170, 1188240, 1220960, 1245060, 1245670, 1212980, 1175260,
1183770, 1185250, 1184770, 1154200, 1151720, 1184970, 1172440,
1215560, 1194680, 1120080, 1196740, 1217630, 1211300, 1185110,
1216680, 1202990, 1204890, 1207530, 1226970, 1197460, 1212450,
1282990, 1273360, 1279680, 1234060, 1226010, 1211900, 1263470,
1221600, 1244720, 1235880, 1199730, 1203190, 1172050, 1182080,
1176670, 1198640, 1192600, 1204100, 1226870, 1177710, 1228760,
1232990, 1226170, 1170070, 1209350, 1174670, 1165720, 1156310,
1097640, 1133480, 1190060, 1172150, 1154880, 1168620, 1208020,
1239750, 1223860, 1226870, 1229950, 1210780, 1188380, 1234210,
1210690, 1180590, 1189520, 1183680, 1166600, 1218520, 1166480,
1220940, 1207460, 1191160, 1209110, 1239460, 1208150, 1212380,
1196030, 1208420, 1213660, 1211810, 1201030, 1237260, 1243240,
1199650, 1185550, 1177000, 1151450, 1160770, 1168810, 1184920,
1183180, 1205040, 1226230, 1171660, 1219980, 1178050, 1198310,
1195970, 1170890, 1186540, 1182980, 1178830, 1187440, 1078820,
1135700, 1159310, 1182680, 1210370, 1199930, 1216420, 1210020,
1209800, 1218980, 1223740, 1170680, 1207610, 1222850, 1213630,
1215450, 1271570, 1272630, 1306400, 1273320, 1249270, 1236050,
1188920, 1214380, 1227600, 1241370, 1209830, 1200680, 1233110,
1192860, 1150680, 1211000, 1189200, 1185140, 1228950, 1110570,
1139890, 1122440, 1169370, 1174400, 1145170, 1126520, 1134310,
1152540, 1089110, 1151820, 1180460, 1146770, 1113080, 1142410,
1163500, 1193150, 1169740, 1207420, 1183870, 1169600, 1209380,
1224080, 1196030, 1193600, 1090830, 1186210, 1145440, 1191410,
1195170, 1197180, 1221940, 1230000, 1251300, 1216520, 1217710,
1257030, 1258680, 1238900, 1227940, 1205600, 1153200, 1104980,
1142090, 1163680, 1218950, 1184240, 1245860, 1269410, 1254340,
1255300, 1187410, 1215790, 1180850, 1192740, 1231320, 1182430,
1219520, 1210090, 1187350, 1145140, 1197130, 1200220, 1186370,
1165250, 1188990, 1123100, 1207640, 1211130, 1207430, 1219200,
1146530, 1099490, 1130580, 1124450, 1159010, 1197970, 1167350,
1160000, 1161120, 1126870, 1157820, 1108220, 1083140, 1110280,
1178460, 1165060, 1196120, 1176730, 1164880, 1175160, 1204400,
1155340, 1126920, 1123100, 1181620, 1209930, 1240640, 1265910,
1226710, 1265220, 1216270, 1196030, 1248240, 1233900, 1219210,
1223260, 1247450, 1264220, 1212410, 1228120, 1211860, 1200920,
1245820, 1254050, 1278060, 1253630, 1262780, 1249220, 1238950,
1226850, 1219920, 1248590, 1202920, 1184550, 1210320, 1192920,
1200370, 1230200, 1191420, 1205480, 1196250, 1239050, 1218130,
1157360, 1205360, 1176970, 1147980, 1205890, 1152760, 1181710,
1184530, 1196850, 1218790, 1162510, 1173200, 1141470, 1173740,
1180310, 1187510, 1226830, 1220370, 1176480, 1193660, 1191060,
1170010, 1174100, 1243340, 1273550, 1257580, 1249850, 1286380,
1255760, 1233290, 1236440, 1292850, 1260910, 1241800, 1233700,
1238340, 1166570, 1201500, 1217160, 1219390, 1199300, 1166610,
1161230, 1188430, 1210740, 1219050, 1170550, 1166660, 1173080,
1168610, 1181990, 1164420, 1187620, 1227630, 1289790, 1263490,
1239130, 1214660, 1252230, 1256820, 1249970, 1205600, 1191710,
1224670, 1185810, 1154540, 1207000, 1207790, 1214250, 1215080,
1183860, 1209430, 1173860, 1221830, 1241580, 1198640, 1215270,
1304340, 1267340, 1222830, 1279090, 1230540, 1227660, 1249270,
1212600, 1192980, 1255510, 1282910, 1279500, 1286480, 1223250,
1240950, 1295170, 1292160, 1296190, 1259510, 1269760, 1231110,
1245410, 1254370, 1217670, 1204620, 1221080, 1225820, 1202410,
1192380, 1184290, 1224430, 1191620, 1237000, 1270660, 1227940,
1221750, 1199330, 1206250, 1188390, 1163710, 1173850, 1175120,
1163090, 1177990, 1181470, 1205420, 1254420, 1223290, 1238240,
1256910, 1249300, 1214160, 1134000, 1149560, 1166770, 1202680,
1164860, 1213770, 1178250, 1196110, 1201420, 1187960, 1181070,
1198250, 1169750, 1178790, 1206220, 1210540, 1208540, 1193740,
1198680, 1211690, 1259160, 1288560, 1293270, 1266980, 1248910,
1210420, 1212520, 1158860, 1155770, 1201690, 1205510, 1250520,
1227100, 1205810, 1186670, 1154570, 1119610, 1095850, 1094230,
1124100, 1152700, 1139330, 1074030, 1077630, 1096630, 1103370,
1136580, 1159260, 1180610, 1156560, 1187790, 1214130, 1175900,
1172930, 1225250, 1222940, 1236910, 1265520, 1262920, 1243450,
1182400, 1167580, 1161810, 1136990, 1158200, 1174740, 1177400,
1137270, 1183120, 1186320, 1143400, 1270080, 1244110, 1179530,
1197110, 1212860, 1194780, 1184710, 1164030, 1194900, 1183560,
1172900, 1162310, 1164260, 1153190, 1158950, 1156170, 1188250,
1208910, 1189680, 1204610, 1242400, 1221930, 1190620, 1163700,
1174880, 1217370, 1232800, 1164010, 1179600, 1180940, 1197670,
1148880, 1161590, 1158140, 1197050, 1188950, 1202070, 1199090,
1171810, 1181700, 1190540, 1222620, 1173130, 1215030, 1181270,
1223790, 1229830, 1183880, 1228400, 1228270, 1211050, 1188090,
1169300, 1175120, 1206340, 1232800, 1188910, 1201050, 1170630,
1128490, 1191010, 1173140, 1146700, 1183450, 1163600, 1199300,
1169430, 1133450, 1255480, 1199330, 1218940, 1242850, 1164990,
1185290, 1242680, 1200740, 1187120, 1196600, 1164730, 1221310,
1178710, 1182540, 1185490, 1151890, 1174580, 1230320, 1157280,
1124310, 1131630, 1165070, 1154380, 1150650, 1152380, 1152090,
1176790, 1128770, 1152510, 1187340, 1154790, 1209140, 1217140,
1187350, 1192470, 1202440, 1219960, 1196440, 1227410, 1217400,
1219450, 1138980, 1164030, 1115630, 1124400, 1193900, 1137180,
1155500, 1159050, 1155660, 1199730, 1207360, 1257090, 1215290,
1238090, 1245540, 1197940, 1258340, 1209690, 1206960, 1190740,
1221470, 1199930, 1218750, 1259750, 1236200, 1206370, 1234350,
1235560, 1185810, 1191700, 1176820, 1186130, 1106780, 1150600,
1166290, 1163670, 1187260, 1183830, 1205100, 1191870, 1198930,
1203490, 1197120, 1131320, 1179560, 1146340, 1155120, 1173720,
1166920, 1157750, 1174590, 1182460, 1241310, 1201670, 1226840,
1190220, 1171920, 1224110, 1181840, 1192750, 1168600, 1161650,
1177840, 1181640, 1191700, 1229790, 1274190, 1291350, 1267840,
1203670, 1232560, 1254920, 1233310, 1204070, 1209740, 1170630,
1216580, 1210490, 1225220, 1219410, 1265680, 1271350, 1301460,
1200060, 1231230, 1176370, 1147240, 1159710, 1155050, 1192490,
1241180, 1194200, 1258180, 1173650, 1178600, 1161470, 1175970,
1189820, 1212800, 1276830, 1237000, 1249250, 1271020, 1224400,
1230990, 1227900, 1213690, 1288350, 1273720, 1236080, 1233340,
1244220, 1176910, 1223150, 1213790, 1175650, 1203720, 1234860,
1240180, 1220640, 1260250, 1224240, 1237530, 1214750, 1236670,
1218900, 1200990, 1147150, 1169510, 1186130, 1245860, 1220830,
1136430, 1170730, 1216720, 1240560, 1273260, 1324750, 1269680,
1248090, 1212940, 1207760, 1189750, 1223150, 1220600, 1186690,
1149720, 1170630, 1198310, 1206440, 1186150, 1178570, 1177000,
1158070, 1183420, 1173110, 1228110, 1193310, 1175420, 1220780,
1219950, 1222760, 1189270, 1176300, 1185220, 1176330, 1119130,
1142030, 1189650, 1206080, 1166910, 1200150, 1207880, 1183830,
1186390, 1185050, 1147380, 1170110, 1198490, 1160680, 1110010,
1117230, 1167140, 1224480, 1177550, 1154970, 1186700, 1161910,
1235570, 1168730, 1173870, 1193910, 1164080, 1190000, 1182600,
1176490, 1178710, 1195500, 1184540, 1149410, 1167430, 1190700,
1183800, 1175780, 1168760, 1175960, 1168740, 1188270, 1217300,
1203160, 1188850, 1173900, 1182990, 1172670, 1167340, 1184980,
1121790, 1215410, 1216170, 1196800, 1180480, 1174150, 1190090,
1163430, 1217270, 1167460, 1172630, 1245520, 1177900, 1227270,
1198460, 1207090, 1182120, 1200930, 1223970, 1198470, 1168500,
1184470, 1169820, 1184940, 1184110, 1237450, 1181280, 1152880,
1192740, 1201820, 1143790, 1189670, 1181560, 1174750, 1220970,
1276680, 1242120, 1257720, 1268200, 1135910, 1214000, 1196010,
1178530, 1175200, 1132060, 1131610, 1180390, 1162650, 1204970,
1184170, 1211030, 1200080, 1254290, 1219950, 1261780, 1215690,
1244310, 1216660, 1221670, 1218790, 1178230, 1172590, 1174030,
1134290, 1173530, 1156090, 1220410, 1172690, 1156340, 1168640,
1197960, 1165300, 1184650, 1200750, 1196450, 1204660, 1175710,
1146180, 1198290, 1128230, 1142900, 1157480, 1194820, 1176470,
1213150, 1192380, 1213110, 1181860, 1143700, 1169380, 1228850,
1191700, 1204550, 1220050, 1137140), `1989` = c(1196150, 1286040,
1281330, 1220510, 1199730, 1221110, 1263880, 1212790, 1187890,
1222410, 1234790, 1222330, 1220550, 1222030, 1215870, 1244920,
1227120, 1239870, 1183080, 1143920, 1238290, 1197640, 1171770,
1194950, 1213750, 1199770, 1196670, 1158040, 1195720, 1184920,
1212460, 1189830, 1203840, 1193830, 1161450, 1193780, 1193270,
1186030, 1152630, 1145180, 1177220, 1256470, 1217380, 1190810,
1166620, 1167900, 1145130, 1175150, 1210840, 1218040, 1239060,
1219440, 1225650, 1198450, 1236240, 1201260, 1250880, 1243480,
1271180, 1202030, 1210670, 1221590, 1204810, 1182200, 1181510,
1195440, 1186910, 1189040, 1184550, 1079630, 1070660, 1130510,
1105690, 1162090, 1239880, 1235350, 1226880, 1210140, 1164410,
1209100, 1261420, 1257540, 1243140, 1202790, 1232760, 1216990,
1298190, 1234010, 1170420, 1172530, 1173140, 1219270, 1192850,
1121570, 1172710, 1198570, 1237570, 1209760, 1194230, 1199320,
1196110, 1164730, 1191510, 1223050, 1220090, 1171830, 1177420,
1209640, 1222320, 1195680, 1186190, 1201790, 1230310, 1196060,
1203660, 1223390, 1168190, 1212680, 1228110, 1224180, 1180020,
1202780, 1197380, 1200630, 1207450, 1232690, 1224790, 1227480,
1286550, 1306720, 1269880, 1234950, 1211960, 1185180, 1234650,
1171810, 1181940, 1191130, 1171260, 1177720, 1155340, 1191830,
1184530, 1205640, 1231500, 1255460, 1257840, 1201270, 1213860,
1229860, 1230360, 1180820, 1203130, 1214850, 1141320, 1155830,
1110460, 1127230, 1197360, 1173480, 1155240, 1175730, 1203490,
1242320, 1229110, 1221320, 1224570, 1183190, 1164860, 1187300,
1176600, 1159410, 1180620, 1192130, 1159620, 1207220, 1144030,
1178070, 1174450, 1173260, 1216330, 1229840, 1208270, 1224860,
1222340, 1199770, 1215210, 1217370, 1178210, 1218990, 1217460,
1185290, 1198980, 1172370, 1190960, 1168430, 1181470, 1207790,
1217190, 1248910, 1255320, 1189630, 1236640, 1184890, 1191550,
1183120, 1161410, 1199860, 1189940, 1191580, 1222960, 1133750,
1181900, 1207230, 1223310, 1242870, 1221660, 1247750, 1210260,
1212840, 1204670, 1187250, 1162840, 1204220, 1217600, 1194630,
1185560, 1252240, 1251180, 1292850, 1267470, 1227560, 1221820,
1177370, 1207350, 1213250, 1249440, 1218930, 1217250, 1253420,
1211010, 1173890, 1211230, 1183790, 1189770, 1234930, 1167130,
1196120, 1171920, 1193490, 1220920, 1163920, 1149810, 1136400,
1183030, 1115790, 1158180, 1165270, 1162820, 1121320, 1154070,
1145190, 1153040, 1154690, 1188860, 1142730, 1132200, 1190280,
1194290, 1172640, 1188250, 1111630, 1180270, 1146300, 1176810,
1216270, 1180220, 1230160, 1237720, 1264320, 1249940, 1250500,
1285410, 1273160, 1247970, 1250480, 1223240, 1209520, 1157360,
1187600, 1184680, 1240090, 1185540, 1226820, 1207950, 1207110,
1217230, 1163570, 1226670, 1192190, 1202570, 1225820, 1184450,
1202300, 1222900, 1183990, 1160750, 1204680, 1192650, 1194150,
1162650, 1197370, 1126800, 1209260, 1199290, 1190590, 1217360,
1169260, 1145570, 1152870, 1130080, 1204740, 1224930, 1208440,
1191470, 1192790, 1156650, 1156230, 1116670, 1109520, 1132400,
1194310, 1166810, 1198100, 1190720, 1184180, 1177690, 1221710,
1199470, 1192030, 1135550, 1149360, 1183980, 1212350, 1226180,
1204290, 1230000, 1198490, 1179500, 1228890, 1230580, 1208740,
1220040, 1248190, 1229070, 1211210, 1209690, 1209890, 1231500,
1286900, 1292610, 1289510, 1267480, 1259270, 1200570, 1194970,
1205250, 1187120, 1223260, 1187740, 1182450, 1179380, 1173010,
1191510, 1206410, 1171980, 1179220, 1187840, 1229090, 1190340,
1190120, 1233080, 1218730, 1195230, 1223890, 1218010, 1192170,
1180100, 1203740, 1222330, 1181350, 1226670, 1186600, 1236540,
1230540, 1216380, 1238110, 1212080, 1161410, 1198520, 1205280,
1183380, 1177840, 1270510, 1256400, 1260740, 1246650, 1299780,
1265930, 1232580, 1230530, 1263980, 1238410, 1246230, 1254660,
1259670, 1191750, 1207110, 1215150, 1198440, 1199850, 1149500,
1156640, 1152340, 1205010, 1195160, 1157150, 1166440, 1162440,
1143280, 1167580, 1175490, 1217660, 1204260, 1262530, 1244850,
1198570, 1191570, 1234460, 1219500, 1220610, 1211430, 1205800,
1242250, 1209200, 1164210, 1235360, 1197450, 1199370, 1177890,
1142170, 1191010, 1142260, 1168980, 1199640, 1151640, 1157920,
1254430, 1225120, 1176450, 1245160, 1247800, 1244690, 1273420,
1220890, 1184820, 1242820, 1288500, 1258770, 1256750, 1228350,
1226090, 1293090, 1308600, 1312650, 1301190, 1282860, 1243880,
1255260, 1258240, 1203470, 1201070, 1234130, 1223920, 1199680,
1159430, 1164760, 1223740, 1175900, 1192150, 1253960, 1224240,
1207670, 1202560, 1199430, 1198310, 1198740, 1208820, 1191080,
1203800, 1196360, 1186500, 1220710, 1232110, 1205680, 1226240,
1227060, 1235430, 1217160, 1168890, 1180660, 1181850, 1187940,
1149650, 1204010, 1158400, 1188880, 1217830, 1216040, 1181860,
1217600, 1166470, 1175600, 1216650, 1231150, 1235890, 1216390,
1210920, 1211760, 1241040, 1247520, 1232720, 1245040, 1248820,
1219880, 1198430, 1181430, 1191860, 1194540, 1199250, 1257000,
1206610, 1178690, 1192800, 1170390, 1144870, 1094180, 1091050,
1123880, 1136500, 1150900, 1130010, 1108020, 1101450, 1118330,
1157140, 1175210, 1181580, 1142480, 1186450, 1191800, 1174300,
1170330, 1228090, 1198820, 1225220, 1242070, 1251600, 1249030,
1199280, 1154470, 1137470, 1107740, 1136170, 1175350, 1169870,
1122200, 1174490, 1180210, 1133870, 1262120, 1239030, 1182070,
1199460, 1205920, 1186450, 1180450, 1170950, 1209260, 1187890,
1144970, 1165200, 1142080, 1142190, 1162280, 1161080, 1206400,
1196410, 1191480, 1204120, 1262870, 1242410, 1227960, 1196690,
1209310, 1216990, 1221550, 1155390, 1163750, 1172340, 1197630,
1180410, 1196710, 1172300, 1221960, 1197940, 1199210, 1208480,
1174750, 1170840, 1174090, 1187680, 1161190, 1196330, 1179430,
1185000, 1216960, 1181060, 1236990, 1236740, 1217580, 1162700,
1150480, 1171880, 1192850, 1247780, 1187980, 1211830, 1189140,
1180820, 1220850, 1194760, 1176240, 1216190, 1170510, 1207390,
1171680, 1134860, 1240260, 1161210, 1186350, 1193100, 1129990,
1153690, 1203460, 1137150, 1115380, 1167010, 1146100, 1182280,
1141630, 1170340, 1200980, 1190120, 1200250, 1245060, 1160930,
1133840, 1136810, 1157000, 1172980, 1161310, 1158480, 1156990,
1182130, 1148070, 1169800, 1201120, 1163010, 1219110, 1207680,
1194880, 1185350, 1211670, 1224790, 1203500, 1230780, 1224380,
1230500, 1184510, 1200570, 1174300, 1191780, 1214180, 1178090,
1195050, 1166400, 1166490, 1162940, 1196320, 1245230, 1210670,
1231340, 1239950, 1190350, 1226910, 1185800, 1216930, 1171510,
1220760, 1209340, 1209600, 1237570, 1209020, 1192320, 1227860,
1215210, 1169130, 1196010, 1176960, 1177620, 1127540, 1164410,
1162650, 1156380, 1163410, 1151510, 1162860, 1129200, 1148000,
1204790, 1206540, 1159470, 1221470, 1197950, 1202720, 1211590,
1222170, 1235360, 1234380, 1192930, 1239520, 1188300, 1228310,
1201900, 1180360, 1237710, 1204870, 1213640, 1178750, 1168770,
1161540, 1182420, 1182270, 1202940, 1236020, 1266360, 1238470,
1170770, 1215550, 1214220, 1200660, 1173740, 1206060, 1208120,
1215540, 1190870, 1184780, 1210460, 1241860, 1221310, 1264280,
1172220, 1197550, 1163680, 1134200, 1149880, 1146330, 1233800,
1231670, 1170970, 1258330, 1209070, 1188630, 1212040, 1216290,
1234170, 1266590, 1304960, 1263000, 1251530, 1271380, 1238350,
1233410, 1216000, 1221080, 1272900, 1285970, 1237200, 1229730,
1236110, 1177900, 1244110, 1195390, 1160270, 1187240, 1236040,
1236480, 1221010, 1250890, 1215170, 1201700, 1177350, 1225880,
1200290, 1196500, 1188220, 1193410, 1214330, 1250430, 1221730,
1159380, 1168290, 1245310, 1217420, 1244030, 1279140, 1241450,
1240860, 1206930, 1206080, 1174500, 1198230, 1198870, 1185690,
1139310, 1131020, 1185170, 1225920, 1228990, 1211070, 1211080,
1185360, 1201730, 1175330, 1232180, 1198140, 1187260, 1219520,
1253070, 1209280, 1197820, 1148520, 1156160, 1163010, 1094190,
1107790, 1174160, 1184050, 1115150, 1156790, 1163510, 1168000,
1160600, 1177060, 1152280, 1172990, 1207240, 1189560, 1145710,
1119170, 1158760, 1240390, 1198400, 1179830, 1252000, 1199870,
1231010, 1199400, 1180510, 1204350, 1189290, 1205550, 1200690,
1210730, 1192400, 1179360, 1172320, 1158530, 1194030, 1222700,
1235860, 1214330, 1220740, 1212350, 1185790, 1174220, 1203860,
1196840, 1190430, 1174980, 1173000, 1147240, 1162760, 1190160,
1135080, 1179430, 1182690, 1166910, 1186920, 1172840, 1202240,
1191840, 1246900, 1216040, 1202550, 1259940, 1209220, 1245130,
1257210, 1252470, 1227830, 1200320, 1218130, 1209820, 1210570,
1207190, 1221440, 1210730, 1206650, 1251980, 1199250, 1185750,
1229980, 1228800, 1150550, 1191450, 1177140, 1195000, 1276390,
1287650, 1244450, 1249610, 1237810, 1146750, 1218810, 1209520,
1182570, 1177760, 1188450, 1197350, 1232450, 1211410, 1232520,
1205070, 1221770, 1188200, 1234580, 1228510, 1288500, 1243190,
1255540, 1218800, 1201770, 1216830, 1210910, 1188310, 1163180,
1180100, 1195900, 1167410, 1199130, 1157240, 1141720, 1153280,
1182260, 1146180, 1191400, 1200320, 1193790, 1201370, 1182530,
1183090, 1188490, 1113960, 1146200, 1136520, 1181570, 1179870,
1224160, 1199990, 1220060, 1201780, 1168720, 1197900, 1238810,
1186130, 1179230, 1192800, 1127730), `1990` = c(912646, 997157,
1009020, 929436, 899016, 906843, 967487, 914020, 904932, 932891,
917343, 898729, 919769, 912639, 916582, 952478, 924368, 938204,
885646, 846299, 926972, 891684, 905117, 913226, 930221, 894042,
897131, 834839, 884597, 872649, 903640, 896316, 897332, 886906,
878828, 919190, 917066, 890072, 866887, 848366, 879272, 958664,
920862, 919589, 915206, 887823, 860824, 862465, 900698, 914182,
947617, 932591, 949407, 924408, 953345, 926001, 956440, 972330,
973226, 917094, 923447, 923762, 907837, 889106, 885747, 911046,
928944, 908161, 910260, 813140, 837534, 881510, 847871, 885303,
939795, 957311, 952416, 931664, 896606, 941846, 979534, 959814,
948110, 907548, 950434, 936079, 1014710, 969126, 903705, 885417,
895291, 935506, 917941, 833747, 875896, 908286, 943484, 926098,
906046, 915804, 896103, 890170, 916394, 944384, 949532, 889182,
877932, 911272, 912549, 890205, 877294, 901088, 925305, 893305,
911065, 919768, 863886, 905492, 952317, 950422, 913598, 927500,
917875, 905962, 926962, 938732, 943141, 934833, 972965, 1004180,
969610, 933953, 919540, 897822, 929612, 891991, 887839, 883842,
884690, 900932, 882140, 901498, 874556, 909158, 937401, 942673,
928687, 864455, 889044, 900110, 909231, 877154, 902510, 913990,
829913, 866714, 857817, 871185, 935607, 950007, 915501, 912925,
939377, 967002, 923230, 919453, 917854, 891624, 872879, 891057,
890489, 885650, 910615, 920871, 888489, 914549, 850399, 908053,
900678, 902827, 940585, 959193, 937222, 947790, 931770, 910061,
930077, 952468, 889249, 931791, 929386, 908752, 920913, 892308,
918174, 893352, 907991, 931500, 909595, 940842, 948910, 896215,
944153, 899871, 907361, 914533, 879148, 890506, 887134, 895415,
936799, 842356, 879458, 914805, 941406, 963025, 942788, 976829,
931341, 949304, 925270, 916391, 906481, 946657, 941741, 890454,
917903, 972021, 973286, 996470, 970845, 944032, 955918, 907700,
936822, 943023, 958908, 935239, 929673, 955056, 918673, 886380,
928173, 906165, 902768, 944789, 883134, 924765, 889075, 908703,
929819, 868117, 883078, 869146, 921427, 893508, 904312, 913360,
931532, 894345, 889339, 881519, 883340, 877203, 918452, 863294,
865188, 906200, 908491, 897244, 918783, 864207, 916256, 890669,
902417, 920242, 906053, 938514, 947547, 975738, 983366, 970640,
982445, 984084, 973779, 963466, 925240, 930846, 899768, 912575,
895117, 958382, 898157, 949926, 919340, 909897, 913029, 893652,
940849, 907418, 926686, 932203, 903905, 921433, 943772, 897792,
889777, 907738, 911021, 909932, 873073, 902087, 844793, 929175,
921179, 896967, 922436, 875237, 890238, 899667, 858073, 914521,
935821, 926588, 923063, 924549, 891684, 879480, 850905, 846891,
866421, 901088, 889329, 914181, 914427, 916532, 920747, 943456,
915381, 909091, 858873, 878526, 893058, 913323, 910369, 908366,
924767, 902635, 882307, 927037, 928366, 902490, 921499, 941005,
921051, 899793, 902640, 915858, 925983, 973115, 989333, 991719,
971055, 966147, 904209, 900613, 910729, 889084, 938823, 913398,
932601, 919484, 910637, 913116, 928516, 900825, 896479, 892016,
928716, 899827, 905580, 954719, 944216, 919697, 939483, 936786,
915400, 899768, 934146, 945945, 905389, 929302, 902015, 940133,
942199, 927678, 956704, 911621, 864668, 890366, 903594, 900206,
895344, 979577, 968094, 977775, 970534, 1007170, 956245, 929409,
924088, 967444, 951445, 948737, 968173, 962615, 893222, 898727,
914585, 902571, 914828, 885093, 872008, 886656, 916177, 906208,
894268, 890664, 886011, 878786, 895901, 897684, 924025, 924610,
965109, 934557, 882171, 896155, 939446, 924296, 940042, 930877,
931292, 944134, 921665, 870708, 950085, 910309, 907713, 877807,
864691, 925151, 869493, 891360, 916227, 883854, 895193, 959892,
935197, 910472, 961021, 961658, 964085, 1004910, 959787, 911636,
960754, 971216, 941883, 949984, 949860, 928120, 991974, 1006830,
1008680, 992835, 974468, 949394, 971025, 969113, 914577, 900979,
924810, 927029, 917101, 880942, 882369, 951315, 901483, 887641,
949365, 917950, 914831, 913990, 918900, 912672, 894855, 925149,
922377, 940343, 906843, 907482, 939212, 929682, 907178, 934120,
947151, 945371, 929852, 900780, 921093, 915238, 938993, 868722,
917718, 887526, 917272, 964092, 945427, 929040, 934831, 896415,
899617, 944013, 954446, 938051, 908775, 906956, 896942, 922003,
934882, 941734, 947436, 960165, 934658, 916065, 885084, 890156,
897108, 914054, 988738, 929987, 920255, 910701, 877231, 879046,
828891, 818437, 848378, 854871, 869509, 869162, 837911, 820589,
837592, 894883, 918502, 927886, 891718, 917910, 910547, 891071,
884288, 938065, 927398, 955911, 951932, 961633, 962797, 918168,
893545, 869055, 858517, 880560, 892720, 882139, 838052, 864002,
889445, 842706, 952036, 930684, 880583, 903909, 905000, 893938,
890477, 883229, 936935, 899512, 850650, 880223, 874034, 871979,
894554, 888935, 923390, 921930, 924529, 925338, 970430, 948968,
925054, 892328, 905523, 910967, 931238, 889317, 892837, 909798,
926249, 916109, 931612, 925569, 961733, 932190, 926066, 933781,
905574, 894726, 886582, 924030, 906180, 914880, 905221, 916660,
945506, 910005, 953492, 935640, 939118, 875638, 859688, 883302,
903724, 946355, 895727, 908097, 902686, 895840, 928410, 911548,
899866, 929424, 905254, 939924, 898421, 871598, 949309, 879412,
885656, 894927, 819250, 848293, 910867, 851430, 823704, 871606,
842888, 902702, 849342, 882968, 925906, 924246, 932697, 966430,
885950, 866636, 869480, 875115, 905974, 890329, 885310, 901170,
920067, 887714, 879918, 941474, 879724, 942446, 947178, 957609,
926718, 923366, 941623, 912181, 926544, 934522, 957678, 926830,
934413, 906913, 903131, 924022, 904516, 916236, 881773, 882928,
876784, 914993, 969676, 919462, 925842, 948738, 920788, 928995,
907436, 929763, 893216, 913472, 908735, 891770, 927717, 890337,
876494, 918321, 912883, 891110, 909024, 885307, 917642, 865586,
879851, 890552, 885727, 893806, 871673, 864786, 842148, 869846,
904632, 918356, 891001, 926957, 905794, 900914, 906358, 910750,
914208, 900060, 878777, 927496, 877725, 916124, 891926, 883771,
942990, 938044, 906897, 879076, 864355, 873268, 886899, 899530,
919058, 942780, 960144, 955181, 928781, 929433, 931535, 927535,
902232, 914903, 913426, 916390, 896308, 909218, 940607, 985132,
960258, 981963, 903281, 917669, 903002, 846442, 868369, 877211,
956073, 950717, 886887, 961393, 926064, 903270, 930366, 929578,
947845, 981090, 994955, 962980, 962106, 958191, 946502, 948963,
944806, 940826, 976742, 976714, 938845, 940985, 955265, 896922,
957304, 922521, 862357, 900912, 960555, 941240, 938741, 953195,
919967, 900764, 886330, 935396, 913904, 919574, 913816, 915810,
944631, 959021, 928625, 866034, 882925, 940683, 907803, 924142,
958156, 951468, 934881, 898552, 907108, 860892, 894928, 897282,
902748, 853502, 853143, 902644, 937201, 957673, 924022, 921730,
886351, 908407, 877129, 940490, 921220, 909621, 917085, 942821,
889659, 905712, 858727, 859282, 862732, 805245, 822046, 881171,
890583, 819747, 889057, 894732, 889304, 878453, 905972, 871423,
905719, 906062, 894871, 864579, 852125, 894341, 957949, 926515,
910825, 974208, 910388, 947700, 925211, 896984, 920862, 924795,
933816, 920986, 929944, 929034, 902265, 871250, 854658, 898959,
921324, 941023, 922963, 936635, 896741, 898782, 901542, 917971,
915767, 917724, 905044, 913986, 919990, 890748, 908760, 860019,
891115, 871239, 865692, 914358, 916581, 927460, 917780, 966532,
936480, 941368, 989240, 933288, 941039, 960857, 953089, 938839,
918792, 919505, 944511, 926398, 909335, 914693, 894735, 899604,
931252, 890263, 906723, 926176, 929790, 860124, 916873, 906697,
921636, 997933, 995906, 967288, 967237, 948653, 871248, 949852,
925249, 896035, 892913, 880114, 893870, 915083, 915178, 930987,
930043, 930666, 912533, 968828, 940192, 1000450, 958103, 969003,
951959, 932268, 946442, 952351, 917004, 889920, 888649, 900393,
894007, 918080, 869058, 849447, 860538, 896127, 852107, 910751,
935809, 925354, 916916, 915445, 909029, 925391, 848224, 860897,
852357, 887496, 890665, 940416, 918041, 953568, 936443, 924978,
936049, 951233, 895645, 898780, 927659, 867908), `1991` = c(762816L,
797678L, 813020L, 785498L, 788693L, 763010L, 837141L, 764554L,
737099L, 781174L, 785943L, 786928L, 796425L, 783446L, 784945L,
789536L, 739712L, 776259L, 723897L, 725513L, 766868L, 746496L,
759015L, 745036L, 770187L, 737435L, 736460L, 706814L, 749989L,
744817L, 737720L, 740142L, 783996L, 766235L, 755589L, 795808L,
774445L, 737428L, 708426L, 719352L, 721657L, 774008L, 713759L,
711519L, 730687L, 735989L, 735471L, 715663L, 762100L, 754390L,
774062L, 756001L, 785423L, 737581L, 746471L, 780567L, 807085L,
821862L, 812585L, 758139L, 780850L, 787249L, 769269L, 763337L,
739166L, 745917L, 745721L, 739229L, 764021L, 701434L, 717036L,
750839L, 744022L, 763745L, 776710L, 813985L, 804616L, 807615L,
805482L, 810613L, 835447L, 795973L, 799431L, 767652L, 802494L,
776235L, 854336L, 832642L, 804066L, 756922L, 736977L, 758839L,
742923L, 669011L, 691720L, 733493L, 761388L, 766221L, 766486L,
765250L, 763603L, 753673L, 789113L, 824242L, 799886L, 737557L,
736361L, 762008L, 779763L, 783681L, 754574L, 775067L, 788423L,
744722L, 768915L, 765684L, 709533L, 743927L, 783850L, 787229L,
761174L, 783028L, 766911L, 740487L, 773551L, 776052L, 783880L,
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569775L, 624088L, 582380L, 623707L, 643155L, 623374L, 623564L,
607850L, 561233L, 568142L, 600988L, 554150L), `1993` = c(630708L,
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655455L, 717323L, 646955L, 676525L, 674215L, 683745L, 673094L,
655825L, 587507L, 563684L, 616593L, 571255L), `1994` = c(642020L,
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653824L, 696520L, 631257L, 672211L, 666115L, 704781L, 708788L,
668643L, 624440L, 630047L, 670945L, 643641L), `1995` = c(613469L,
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628047L, 615181L, 600600L, 619522L, 610934L, 614369L, 640538L,
624088L, 636158L, 639664L, 668837L, 622135L, 636892L, 642949L,
637222L, 610105L, 679793L, 677803L, 733868L, 708628L, 692879L,
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565883L, 628504L, 649041L, 602302L, 502293L, 538842L, 561813L,
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563889L, 600036L, 649669L, 604802L, 606414L, 669856L, 668256L,
629574L, 633584L, 621747L, 560243L, 636940L, 611774L, 594045L,
687513L, 680729L, 645860L, 641295L, 604390L, 622294L, 632100L,
727853L, 674755L, 661871L, 618534L, 612213L, 642591L, 611987L,
569601L, 567212L, 611270L, 557751L, 527818L, 520947L, 594961L,
551645L, 634137L, 619003L, 583102L, 610843L, 633118L, 585226L,
567324L, 581845L, 583048L, 567316L, 587568L, 588466L, 537661L,
615813L, 636742L, 638393L, 650200L, 656268L, 622602L, 611714L,
634179L, 581699L, 633613L, 539385L, 536783L, 565916L, 618206L,
606880L, 660847L, 578982L, 629856L, 599015L, 643385L, 649429L,
613876L, 584416L, 607362L, 662095L, 643973L), `1996` = c(737990L,
812895L, 803228L, 709318L, 684966L, 717900L, 791050L, 833279L,
751276L, 791902L, 751376L, 753282L, 743829L, 717294L, 717712L,
744534L, 756208L, 768089L, 678170L, 653893L, 729682L, 701821L,
700127L, 733116L, 745857L, 736084L, 766212L, 692074L, 741083L,
741389L, 758470L, 736073L, 724640L, 741325L, 673861L, 719266L,
724278L, 766421L, 703479L, 733841L, 736589L, 787111L, 678597L,
720100L, 774550L, 724714L, 668788L, 696131L, 719498L, 738631L,
748810L, 692766L, 738278L, 690143L, 723233L, 721562L, 708378L,
737096L, 794118L, 746431L, 743635L, 769857L, 718884L, 787125L,
741231L, 774181L, 774289L, 771990L, 771758L, 797659L, 792835L,
836020L, 829029L, 756832L, 700400L, 770686L, 764069L, 740080L,
736654L, 715267L, 709470L, 691172L, 700557L, 646104L, 688530L,
707423L, 710363L, 682215L, 753976L, 782791L, 742150L, 716347L,
789024L, 760092L, 709306L, 761841L, 757917L, 817626L, 767372L,
722401L, 779251L, 768083L, 747438L, 740846L, 771368L, 731826L,
722556L, 807060L, 841763L, 764135L, 749435L, 788437L, 769316L,
668779L, 755800L, 809375L, 772220L, 761138L, 722728L, 703023L,
681185L, 715067L, 704726L, 716822L, 785534L, 806315L, 769143L,
740618L, 751090L, 788063L, 768468L, 760331L, 742641L, 715393L,
758937L, 754094L, 740947L, 700234L, 700447L, 727463L, 723228L,
739911L, 743649L, 766393L, 755761L, 708455L, 697191L, 693032L,
698873L, 735718L, 722659L, 716657L, 794653L, 773518L, 774463L,
796658L, 761761L, 736104L, 761563L, 814991L, 749239L, 733354L,
796384L, 776828L, 774447L, 723709L, 732756L, 689107L, 759291L,
797684L, 768320L, 728140L, 728982L, 760471L, 761414L, 773105L,
706135L, 782683L, 749935L, 753380L, 731698L, 740616L, 743408L,
824850L, 790103L, 751754L, 812869L, 832912L, 763088L, 817337L,
773420L, 754143L, 750387L, 766993L, 768660L, 728988L, 770750L,
749936L, 755715L, 738084L, 722376L, 708293L, 734445L, 728569L,
696452L, 802488L, 759783L, 795663L, 761693L, 786028L, 784111L,
721861L, 794919L, 751992L, 800153L, 812005L, 755174L, 731524L,
726107L, 715393L, 666327L, 688379L, 705801L, 772680L, 741238L,
725715L, 780880L, 779334L, 756271L, 784915L, 758348L, 785987L,
767503L, 715681L, 746351L, 760858L, 727297L, 706176L, 725730L,
742982L, 735601L, 703927L, 772908L, 723844L, 770696L, 690787L,
709557L, 735066L, 705005L, 742566L, 746975L, 760692L, 765569L,
700376L, 714739L, 724075L, 778830L, 782911L, 706621L, 717964L,
752721L, 731217L, 732343L, 744544L, 789331L, 751413L, 710611L,
699139L, 734719L, 711398L, 743411L, 692253L, 765767L, 725239L,
732536L, 758095L, 746484L, 770738L, 701230L, 738849L, 729988L,
733402L, 763133L, 767406L, 769772L, 733562L, 691056L, 730727L,
737687L, 764584L, 731662L, 794181L, 656325L, 781813L, 760392L,
731556L, 802638L, 740376L, 759533L, 743059L, 796081L, 802181L,
719332L, 775336L, 761971L, 702191L, 721686L, 696337L, 744524L,
765207L, 753387L, 786907L, 692457L, 776402L, 753516L, 691262L,
718039L, 707544L, 705568L, 716318L, 718145L, 801731L, 813708L,
727802L, 784803L, 796587L, 775825L, 757633L, 778035L, 741768L,
777374L, 772380L, 731304L, 731662L, 749089L, 747946L, 731528L,
746885L, 688554L, 675904L, 667706L, 689077L, 700313L, 714372L,
701012L, 770249L, 775784L, 796486L, 753032L, 795448L, 742590L,
706158L, 727721L, 713647L, 717234L, 699484L, 719942L, 705293L,
716231L, 741609L, 738922L, 734760L, 709776L, 708549L, 716722L,
690327L, 698911L, 692147L, 744907L, 735519L, 777673L, 790560L,
785992L, 730185L, 739351L, 723250L, 742489L, 755901L, 727531L,
726175L, 696877L, 740153L, 734623L, 788312L, 750443L, 766021L,
729676L, 773387L, 760213L, 763046L, 772226L, 694438L, 676034L,
687654L, 727042L, 729904L, 789436L, 795153L, 728651L, 737321L,
761991L, 711070L, 687486L, 762805L, 729442L, 730578L, 746082L,
772251L, 756972L, 692740L, 680961L, 727791L, 701902L, 676860L,
747041L, 734457L, 737447L, 705809L, 719569L, 717107L, 691018L,
717359L, 710236L, 717783L, 692818L, 716822L, 750789L, 733720L,
710738L, 709547L, 711408L, 712173L, 761482L, 745188L, 781585L,
831635L, 747470L, 797020L, 796325L, 754762L, 814327L, 776045L,
761759L, 774129L, 747058L, 739722L, 767341L, 772010L, 810510L,
793132L, 738721L, 719525L, 724664L, 737536L, 752392L, 693255L,
653700L, 741462L, 727110L, 735655L, 710937L, 787716L, 794695L,
830699L, 788474L, 767706L, 805942L, 763131L, 751630L, 735787L,
785435L, 744787L, 720687L, 790002L, 790709L, 750438L, 770960L,
735548L, 764649L, 796389L, 703422L, 713573L, 787505L, 764095L,
745043L, 677835L, 720384L, 767330L, 707066L, 700021L, 729484L,
682714L, 678866L, 660153L, 624084L, 614234L, 677316L, 716930L,
692525L, 714592L, 671452L, 668284L, 758296L, 778721L, 728094L,
756457L, 748504L, 770011L, 729570L, 714463L, 748421L, 786879L,
778653L, 734675L, 780630L, 730376L, 725349L, 776427L, 738673L,
731489L, 750572L, 759800L, 753301L, 740916L, 742844L, 711966L,
731806L, 808456L, 755243L, 690433L, 755254L, 770583L, 761479L,
754685L, 793479L, 797086L, 778053L, 753267L, 677977L, 774899L,
818296L, 810742L, 779727L, 749425L, 678491L, 717734L, 713144L,
685972L, 766420L, 736316L, 760980L, 746113L, 752702L, 775253L,
695952L, 704923L, 666676L, 669386L, 678146L, 696573L, 697497L,
695212L, 641289L, 697935L, 672335L, 697897L, 729797L, 701548L,
710556L, 707878L, 708348L, 716253L, 693888L, 712321L, 710751L,
725324L, 727862L, 807493L, 786052L, 731060L, 821748L, 843407L,
759228L, 742437L, 714784L, 746510L, 726962L, 737258L, 770426L,
772407L, 783260L, 785034L, 815108L, 749802L, 791309L, 810484L,
804161L, 772560L, 805685L, 783484L, 854057L, 809829L, 795432L,
765468L, 791198L, 802578L, 759020L, 757606L, 761882L, 786160L,
751727L, 691103L, 788325L, 690173L, 737175L, 722965L, 742021L,
731833L, 744361L, 717079L, 717228L, 729574L, 720160L, 736659L,
702207L, 725693L, 717068L, 685890L, 742223L, 697879L, 710868L,
689632L, 715988L, 702953L, 757518L, 776437L, 699680L, 790368L,
673352L, 717015L, 740663L, 738388L, 759489L, 758985L, 759201L,
799123L, 808231L, 737564L, 793457L, 761156L, 791104L, 783997L,
713063L, 754256L, 815789L, 746665L, 734757L, 795047L, 729853L,
727635L, 722717L, 738763L, 739091L, 736789L, 702909L, 706292L,
715912L, 701028L, 712356L, 687530L, 680020L, 678874L, 688712L,
724485L, 689868L, 749010L, 751105L, 701224L, 673639L, 701533L,
688502L, 742232L, 729765L, 738209L, 737057L, 740342L, 704465L,
752891L, 737692L, 747571L, 737052L, 708127L, 770064L, 727526L,
806795L, 747954L, 725113L, 714045L, 797391L, 753664L, 737361L,
695441L, 785351L, 714253L, 704387L, 751058L, 737720L, 710857L,
779208L, 746705L, 743600L, 725824L, 757222L, 754839L, 726475L,
747107L, 780202L, 742756L, 805124L, 717914L, 840995L, 763950L,
757985L, 742415L, 713906L, 724632L, 731652L, 750302L, 733748L,
734093L, 739627L, 766319L, 743504L, 808187L, 800526L, 770858L,
770029L, 705900L, 808436L, 741475L, 742446L, 787538L, 716027L,
748842L, 732054L, 697447L, 718886L, 754285L, 761323L, 738410L,
777293L, 741622L, 702990L, 725412L, 737172L, 690382L, 701756L,
719585L, 710289L, 715586L, 711931L, 720305L, 709062L, 726655L,
709779L, 700180L, 721640L, 731277L, 698987L, 786364L, 758996L,
798831L, 719516L, 791456L, 760234L, 731086L, 762433L, 742844L,
765854L, 765905L, 842840L, 835616L, 773339L, 769918L, 718215L,
705940L, 736056L, 759568L, 718120L, 656001L, 703857L, 729491L,
734024L, 740269L, 746041L, 746451L, 733962L, 752207L, 780224L,
778574L, 757774L, 734215L, 729248L, 722058L, 726873L, 766260L,
723676L, 703470L, 715126L, 755355L, 704977L, 677354L, 667533L,
687073L, 720729L, 746976L, 736198L, 722909L, 723800L, 708904L,
683307L, 658102L, 689277L, 750519L, 799494L, 769133L, 752127L,
743095L, 748328L, 768048L, 772484L, 809811L, 799244L, 747764L,
703544L, 713442L, 713724L, 732585L, 784987L, 774182L, 762618L,
797893L, 754778L, 773043L, 710524L, 773099L, 705499L, 781775L,
705662L, 743124L, 716737L, 740180L, 699565L, 716836L, 764705L,
668630L, 741762L, 772708L, 736340L, 627323L, 672944L, 687947L,
664084L, 696297L, 741575L, 715341L, 719115L, 728418L, 767592L,
756665L, 733613L, 749315L, 813891L, 716175L, 652591L, 770332L,
697437L, 714879L, 705493L, 723083L, 708219L, 687598L, 698087L,
690733L, 708800L, 737942L, 767878L, 701165L, 688490L, 727757L,
773873L, 776808L, 750638L, 782259L, 745545L, 771962L, 733103L,
796061L, 731844L, 725008L, 703237L, 766407L, 758373L, 756717L,
775912L, 761212L, 781087L, 797970L, 784017L, 801787L, 825046L,
843417L, 780468L, 790640L, 722899L, 693788L, 779241L, 794382L,
753552L, 713889L, 720812L, 711706L, 686444L, 708337L, 736795L,
688019L, 703427L, 747321L, 720037L, 700686L, 773218L, 779320L,
764839L, 786828L, 793293L, 723815L, 789556L, 760236L, 747074L,
832571L, 795567L, 744870L, 737038L, 726864L, 722826L, 722944L,
831673L, 772599L, 738557L, 703818L, 731413L, 768422L, 726363L,
701620L, 684037L, 746942L, 673737L, 667924L, 668671L, 731640L,
703209L, 749753L, 726158L, 702226L, 725625L, 763124L, 712928L,
703459L, 709214L, 705959L, 691700L, 717243L, 712175L, 675441L,
758252L, 759499L, 793851L, 802496L, 795481L, 754583L, 735646L,
758179L, 732044L, 799247L, 698577L, 698508L, 706488L, 763093L,
753311L, 791443L, 744734L, 803928L, 735191L, 764650L, 762530L,
721054L, 710977L, 715105L, 767235L, 780751L), `1997` = c(906160,
949513, 960886, 850012, 865160, 891667, 980184, 994245, 899510,
928091, 891875, 882930, 882117, 882405, 880961, 889327, 887647,
918808, 840024, 878470, 927868, 910088, 882857, 911685, 940536,
897901, 932932, 884386, 947801, 923113, 917075, 897786, 899566,
912473, 854498, 886240, 907838, 929573, 878109, 886025, 886313,
998585, 879056, 924375, 948762, 939317, 857830, 919717, 903673,
928149, 947499, 837884, 890183, 846600, 877794, 886679, 864297,
918659, 993645, 926808, 922614, 963482, 920125, 973530, 924204,
969219, 940076, 898570, 913137, 929727, 967683, 1014470, 981476,
960234, 947641, 981524, 942489, 934612, 938742, 922988, 899181,
858844, 887868, 854025, 931679, 909551, 884805, 828635, 908533,
949735, 920006, 906982, 961195, 927803, 898805, 947165, 950153,
1007140, 976464, 899876, 958194, 916916, 906876, 909506, 981513,
941589, 902840, 946221, 1010820, 967643, 934044, 962156, 971747,
840435, 956969, 1011700, 998061, 1005640, 911335, 903444, 859727,
879086, 889882, 883694, 955819, 971570, 937503, 907016, 949796,
942408, 939141, 913372, 913488, 899686, 914640, 930508, 917733,
870475, 876421, 890770, 896927, 903919, 914803, 923425, 914772,
917408, 939572, 918213, 923563, 908341, 928267, 875871, 945400,
913698, 948107, 959693, 925071, 925773, 916966, 974467, 907180,
912424, 982961, 946834, 931902, 904568, 907028, 845014, 925630,
977668, 939050, 928704, 934262, 932324, 926731, 946256, 894657,
965268, 927777, 943627, 905525, 945394, 921450, 1006390, 941520,
892439, 967116, 960164, 903086, 966384, 938554, 939912, 927817,
939745, 954268, 919440, 938461, 912945, 949255, 910993, 921894,
926785, 947310, 936831, 901592, 1011140, 963034, 1002540, 941225,
966669, 963522, 889071, 933124, 887296, 937309, 959010, 926524,
917059, 938680, 925740, 849931, 877912, 890265, 978733, 939650,
926787, 940752, 915192, 888022, 924202, 875756, 905285, 900964,
861556, 911341, 932823, 877248, 875533, 892734, 953180, 935343,
892380, 981472, 910907, 934561, 855711, 884253, 884706, 882218,
887446, 891352, 899581, 928913, 852866, 856012, 857699, 898257,
877175, 820495, 862109, 892660, 878077, 879207, 909951, 966575,
924204, 880948, 857374, 889496, 860390, 898785, 870470, 932971,
886078, 900146, 933096, 912417, 942572, 861612, 908290, 899299,
885850, 948900, 934620, 941542, 941798, 889390, 921718, 957078,
945169, 936077, 999350, 867091, 949612, 936434, 908368, 985661,
918120, 948579, 897708, 950105, 976893, 896984, 958005, 935290,
892519, 860610, 850048, 901602, 943845, 912435, 951981, 878831,
959824, 941001, 888120, 927532, 922571, 927303, 916800, 887480,
964340, 999190, 923405, 1004930, 970716, 933250, 952232, 963109,
910133, 936912, 938784, 901736, 907701, 913389, 921723, 946479,
952472, 893781, 873479, 882914, 909443, 916413, 926057, 895540,
953355, 941762, 960739, 914958, 983087, 942265, 907741, 916269,
882871, 918222, 926042, 906497, 890400, 935990, 957544, 958525,
921364, 900515, 903776, 887992, 855662, 843684, 821008, 882123,
872045, 910349, 921416, 935880, 873281, 880722, 878376, 907666,
907831, 892697, 874901, 849622, 901710, 928404, 995760, 966842,
917522, 874767, 941428, 927303, 962140, 956279, 881487, 901881,
893190, 921994, 912272, 957265, 924446, 858762, 893827, 911015,
889549, 854092, 955572, 907834, 918567, 923414, 953349, 940800,
877238, 895815, 930107, 933209, 931280, 970708, 929684, 923777,
893084, 913527, 899698, 866638, 895777, 881743, 881503, 865346,
900480, 929339, 940491, 902127, 876332, 864020, 865402, 933757,
959449, 963016, 1021350, 924307, 978949, 958352, 916168, 975048,
951512, 943147, 976807, 943929, 907016, 915865, 913830, 974687,
951557, 895502, 902135, 908849, 953548, 974255, 916417, 852230,
934629, 891019, 883257, 843200, 947810, 941935, 987893, 940630,
931916, 957953, 946657, 946086, 912321, 936289, 895921, 898872,
945933, 934482, 877989, 890457, 865197, 889771, 943184, 871159,
933572, 992150, 942919, 958225, 906193, 947764, 950290, 900887,
884223, 909641, 876817, 881762, 859357, 836939, 827908, 852835,
906173, 897169, 928963, 867804, 856881, 946909, 934019, 867247,
915214, 906786, 959374, 927604, 898369, 937864, 941288, 954522,
921343, 941711, 910778, 907075, 956240, 907092, 915883, 944873,
936505, 920198, 906106, 914565, 874856, 875426, 952440, 900291,
842417, 890282, 921299, 902558, 911846, 974858, 979239, 936239,
940743, 876229, 946729, 971026, 965545, 940795, 926441, 852638,
909014, 881349, 852582, 926860, 890187, 911825, 925100, 920028,
951748, 908720, 956095, 910242, 906122, 914866, 944345, 923009,
902415, 828112, 892218, 844817, 866300, 899457, 879018, 905592,
877280, 872737, 882418, 866054, 882706, 866905, 845415, 868128,
960505, 972870, 918582, 999874, 1032710, 938650, 901828, 877555,
908310, 882176, 908778, 943986, 925066, 924616, 933891, 950102,
866820, 919902, 972197, 945373, 936292, 962233, 930773, 1024160,
979245, 934156, 924456, 949994, 996201, 901686, 913541, 934133,
936965, 938810, 875844, 963737, 887294, 908757, 877095, 902071,
901017, 924491, 914452, 907791, 926822, 864492, 888707, 885014,
906319, 895890, 870364, 909084, 880626, 896020, 895233, 918976,
907468, 949563, 953514, 889887, 966046, 858955, 897174, 908151,
909576, 940457, 948673, 957497, 1006620, 1001310, 925156, 970096,
917345, 970891, 988343, 922494, 928707, 982292, 945007, 919422,
979885, 910601, 899534, 904809, 924747, 938824, 915096, 859491,
878912, 899486, 850485, 906255, 884130, 875048, 872564, 869409,
910849, 847858, 914893, 935817, 894357, 852575, 897177, 890205,
941006, 899504, 896807, 919267, 908265, 882396, 921814, 905894,
914327, 913555, 881486, 961882, 918864, 998046, 927263, 961299,
947133, 988376, 948394, 929528, 858503, 951066, 885661, 846655,
925547, 898992, 889690, 912179, 890516, 900274, 898205, 926326,
926245, 891357, 929073, 970723, 925632, 976600, 860795, 995345,
927315, 921519, 910045, 878095, 893219, 870755, 885965, 876223,
859490, 869139, 900932, 878864, 956177, 966240, 927501, 900552,
859318, 942213, 913031, 902956, 962926, 868469, 903273, 882407,
825811, 873200, 933978, 931506, 891656, 918743, 900800, 867014,
909039, 929153, 867089, 880499, 868382, 892943, 929053, 889542,
893053, 903034, 921410, 870024, 854144, 890288, 903492, 870737,
964380, 926074, 998487, 875131, 984487, 921724, 920996, 918888,
855398, 892012, 892870, 962983, 982248, 937075, 935084, 882440,
879355, 895255, 901194, 876275, 799802, 859251, 900789, 914223,
927575, 914642, 921458, 892476, 890406, 945783, 948923, 940924,
928941, 935917, 895308, 899973, 945347, 929206, 891973, 895022,
895010, 867263, 830280, 857586, 893413, 926041, 931043, 907539,
914797, 913772, 900117, 832395, 854843, 862390, 928274, 972422,
918892, 905629, 942681, 935521, 965510, 935863, 952270, 961232,
917588, 865348, 910505, 894154, 906260, 934292, 912458, 898609,
936832, 902607, 921803, 885667, 953713, 903271, 946914, 857538,
904623, 896379, 913682, 876445, 889918, 923843, 825321, 901597,
918506, 908751, 802357, 856764, 909221, 853586, 860699, 914166,
896609, 902269, 910430, 942056, 934562, 911441, 952404, 1017570,
884856, 817354, 947768, 876781, 869252, 886942, 891439, 907738,
904217, 918025, 911230, 952842, 956237, 965178, 896086, 877372,
880560, 945503, 906576, 908558, 941236, 896898, 898426, 886460,
962481, 899112, 928437, 891470, 935848, 908850, 937067, 974627,
938856, 976633, 972051, 934038, 958209, 1009530, 1019220, 957532,
978087, 951631, 923925, 976398, 967013, 924285, 878774, 905158,
912152, 843485, 856489, 913540, 879780, 854328, 894976, 882689,
868866, 958845, 927644, 916655, 933483, 939399, 872923, 963778,
919749, 891003, 1004150, 958020, 888590, 889316, 883677, 871267,
879367, 989666, 923075, 924628, 865533, 926794, 954405, 909027,
876608, 890353, 914586, 847214, 837879, 829823, 892389, 873630,
938985, 905720, 875648, 941523, 970001, 898526, 902342, 906479,
905716, 893599, 912509, 900888, 896592, 963477, 954971, 965052,
974969, 969205, 918389, 901243, 936851, 914725, 1006250, 889501,
866121, 877554, 934950, 940941, 965553, 898325, 966638, 897992,
942995, 960006, 922263, 893339, 922690, 927580, 925546), `1998` = c(828555L,
867350L, 873249L, 794997L, 788981L, 792371L, 887323L, 917714L,
808591L, 840897L, 802737L, 805937L, 815040L, 827527L, 841649L,
843361L, 798750L, 834777L, 745107L, 781758L, 841456L, 818363L,
795354L, 830186L, 880578L, 802430L, 842663L, 795743L, 871326L,
833992L, 824811L, 794762L, 800032L, 808501L, 778498L, 819039L,
831826L, 852257L, 795292L, 791819L, 792732L, 908135L, 792237L,
829744L, 875020L, 864403L, 778413L, 852846L, 836149L, 876411L,
894488L, 797885L, 845428L, 798999L, 812634L, 802753L, 787609L,
856106L, 919594L, 859241L, 861373L, 888037L, 839443L, 899896L,
838894L, 886110L, 873928L, 801135L, 818226L, 827876L, 875274L,
921657L, 890019L, 868927L, 888402L, 925137L, 886210L, 860988L,
867024L, 860726L, 823020L, 787693L, 837727L, 784183L, 876646L,
826784L, 812756L, 762857L, 836396L, 880860L, 846462L, 833516L,
874862L, 831906L, 818589L, 852874L, 856236L, 925567L, 891149L,
807151L, 865566L, 811789L, 802860L, 822882L, 917291L, 859535L,
820365L, 882415L, 930390L, 908341L, 861131L, 909106L, 922738L,
793045L, 898450L, 944211L, 945926L, 936539L, 835470L, 827881L,
793997L, 814733L, 810984L, 799810L, 857523L, 913202L, 903218L,
856011L, 882467L, 860618L, 850431L, 804832L, 835519L, 842851L,
835569L, 888815L, 864975L, 806477L, 821638L, 828004L, 816241L,
812399L, 809693L, 821930L, 825401L, 816297L, 849785L, 847143L,
840906L, 820656L, 854056L, 790463L, 876370L, 846083L, 890359L,
892336L, 859427L, 851044L, 855835L, 909254L, 823000L, 829333L,
902900L, 883475L, 870656L, 811817L, 807690L, 766328L, 846433L,
878424L, 844437L, 864465L, 848595L, 853820L, 868506L, 880423L,
819152L, 896569L, 858262L, 870579L, 850487L, 872961L, 850120L,
928003L, 873108L, 814606L, 882531L, 885315L, 828351L, 888398L,
848983L, 852130L, 844159L, 864538L, 878173L, 833896L, 875099L,
859302L, 875337L, 827792L, 843212L, 843512L, 854178L, 854556L,
807164L, 923134L, 888129L, 904208L, 859273L, 884630L, 890178L,
826033L, 863021L, 808339L, 829961L, 861125L, 855120L, 859986L,
871929L, 862765L, 771498L, 798480L, 822352L, 925221L, 863923L,
862384L, 888190L, 872692L, 831745L, 860884L, 808750L, 827645L,
828036L, 798314L, 832054L, 867869L, 819446L, 795392L, 811607L,
889770L, 844836L, 803592L, 909923L, 819911L, 856256L, 769779L,
813649L, 840820L, 826185L, 821333L, 789616L, 814084L, 837800L,
767903L, 776838L, 780570L, 840155L, 806822L, 755237L, 781951L,
806615L, 778978L, 788720L, 839015L, 900374L, 835934L, 826803L,
790756L, 816271L, 782888L, 818475L, 788145L, 849534L, 792132L,
812110L, 856505L, 836204L, 880209L, 782219L, 838821L, 830997L,
812372L, 874472L, 860887L, 865500L, 854090L, 804678L, 838784L,
879362L, 877216L, 886201L, 964407L, 817069L, 872333L, 853024L,
831673L, 890513L, 833002L, 885259L, 816930L, 863662L, 883611L,
785949L, 854972L, 848632L, 816680L, 797381L, 782746L, 803774L,
865250L, 846156L, 871942L, 789809L, 890546L, 871730L, 825676L,
855239L, 864187L, 876535L, 876509L, 831339L, 902748L, 921894L,
846879L, 937666L, 916609L, 839047L, 864885L, 867943L, 802213L,
850906L, 860311L, 811859L, 827506L, 851678L, 868182L, 898017L,
891260L, 834210L, 795546L, 791968L, 830990L, 844678L, 858425L,
818220L, 862982L, 873871L, 891682L, 830363L, 886798L, 850652L,
806439L, 819150L, 772727L, 833177L, 840839L, 826955L, 802278L,
839804L, 865715L, 872084L, 837833L, 821961L, 818050L, 801948L,
779634L, 757246L, 717964L, 781732L, 778045L, 836338L, 843685L,
848558L, 780808L, 777484L, 779081L, 797735L, 805682L, 803675L,
787307L, 772787L, 820716L, 833981L, 910341L, 883968L, 815053L,
795038L, 878060L, 843143L, 862841L, 858820L, 789826L, 825188L,
824036L, 844321L, 816772L, 847455L, 820368L, 747689L, 798132L,
825787L, 806814L, 748369L, 867695L, 818588L, 834612L, 845678L,
854393L, 833553L, 761783L, 801271L, 841744L, 846174L, 851494L,
889433L, 869581L, 823114L, 804714L, 825701L, 835258L, 813403L,
854144L, 840389L, 823779L, 803179L, 834584L, 865288L, 890330L,
844470L, 800872L, 779198L, 804813L, 855014L, 875539L, 872130L,
961665L, 829817L, 873479L, 843738L, 816736L, 873927L, 852089L,
854232L, 885752L, 855690L, 809685L, 805519L, 803446L, 866279L,
840114L, 790286L, 811412L, 823642L, 878471L, 912221L, 840971L,
776630L, 869816L, 810220L, 826710L, 747174L, 856543L, 840960L,
877086L, 834824L, 831245L, 890869L, 892423L, 891600L, 844160L,
858115L, 819014L, 823470L, 862005L, 861335L, 791286L, 804432L,
776411L, 805653L, 860550L, 799361L, 851338L, 909472L, 852156L,
858716L, 818782L, 880341L, 882005L, 821603L, 807299L, 832008L,
824045L, 826798L, 796461L, 777255L, 761859L, 785801L, 844661L,
825378L, 850416L, 777600L, 765844L, 876580L, 847660L, 768696L,
828511L, 814216L, 859915L, 850766L, 812974L, 865383L, 860291L,
884493L, 828217L, 869480L, 842393L, 851547L, 883769L, 826486L,
859509L, 867244L, 853930L, 850386L, 829023L, 838318L, 827949L,
828259L, 900995L, 848265L, 774375L, 833993L, 861317L, 823633L,
828532L, 903015L, 930343L, 882460L, 887903L, 796928L, 900155L,
908580L, 900558L, 878173L, 845623L, 807353L, 838945L, 818937L,
789168L, 864926L, 822114L, 835909L, 837454L, 829351L, 851515L,
814665L, 880850L, 828522L, 822658L, 846650L, 887175L, 856052L,
837136L, 764743L, 832172L, 762300L, 779993L, 798378L, 783180L,
811305L, 787878L, 788217L, 789272L, 789212L, 798412L, 785975L,
768747L, 782923L, 893930L, 901416L, 824430L, 931649L, 953468L,
871811L, 831330L, 813453L, 838543L, 806853L, 852575L, 877424L,
847115L, 869629L, 877576L, 892614L, 784811L, 831941L, 877794L,
859086L, 844220L, 882423L, 849162L, 949544L, 903854L, 851492L,
851016L, 877635L, 920602L, 840932L, 838266L, 880762L, 872700L,
880149L, 803699L, 887053L, 803416L, 849137L, 816248L, 824209L,
815911L, 840874L, 832274L, 805500L, 825782L, 760796L, 817566L,
815067L, 830688L, 829029L, 791685L, 827017L, 815898L, 853250L,
843606L, 854818L, 835600L, 896995L, 875641L, 842649L, 916025L,
792404L, 833443L, 836717L, 838991L, 861761L, 878378L, 883748L,
928028L, 933810L, 833596L, 878438L, 815300L, 870009L, 899122L,
833208L, 856872L, 922982L, 873710L, 835894L, 903231L, 832269L,
842382L, 814854L, 828630L, 851983L, 848645L, 815240L, 818892L,
821480L, 775147L, 833925L, 803720L, 788196L, 788954L, 781896L,
816726L, 759151L, 828326L, 874041L, 825750L, 768786L, 810661L,
816681L, 870692L, 828914L, 829244L, 843287L, 816841L, 786248L,
825920L, 803776L, 824863L, 834541L, 817536L, 909834L, 855017L,
926171L, 861344L, 865363L, 861292L, 905154L, 882988L, 858862L,
796945L, 885770L, 821335L, 779519L, 867420L, 797926L, 807724L,
821380L, 818866L, 809246L, 788030L, 834360L, 836928L, 809686L,
852897L, 919798L, 858332L, 897502L, 791422L, 926247L, 859952L,
855284L, 832858L, 802729L, 843122L, 823616L, 830165L, 817461L,
802260L, 804830L, 814533L, 787867L, 881802L, 900167L, 868107L,
827553L, 795830L, 879847L, 829789L, 834921L, 882103L, 799060L,
828849L, 789892L, 746864L, 803369L, 846088L, 870770L, 834064L,
858388L, 840750L, 807310L, 852879L, 867048L, 782492L, 796095L,
794402L, 802549L, 849538L, 837123L, 811780L, 824832L, 828604L,
769295L, 764548L, 805671L, 815635L, 793193L, 893307L, 843281L,
921563L, 810182L, 912642L, 835403L, 828614L, 823642L, 769967L,
795571L, 800913L, 877993L, 883778L, 848123L, 837751L, 780819L,
775595L, 816416L, 817818L, 820052L, 741939L, 793611L, 831411L,
836398L, 870623L, 859439L, 846200L, 828476L, 832243L, 876636L,
881383L, 869615L, 847133L, 892447L, 836168L, 838477L, 897764L,
865242L, 835380L, 847599L, 804247L, 788005L, 773587L, 804191L,
863656L, 853588L, 850028L, 822317L, 823413L, 827279L, 813192L,
779056L, 800078L, 784177L, 849302L, 892897L, 825585L, 829160L,
886824L, 883173L, 894598L, 852733L, 854756L, 862806L, 828660L,
782598L, 832927L, 807515L, 831118L, 852432L, 827904L, 816285L,
837204L, 797192L, 813616L, 775385L, 860141L, 805399L, 857640L,
761059L, 825023L, 818079L, 845440L, 804416L, 807871L, 846623L,
747814L, 817944L, 832044L, 832910L, 723565L, 778558L, 839079L,
783331L, 794834L, 837308L, 810970L, 842559L, 861019L, 878191L,
860546L, 826338L, 857779L, 934410L, 794275L, 731707L, 877647L,
814525L, 809920L, 837032L, 831485L, 831115L, 818830L, 843329L,
818818L, 871156L, 873419L, 880671L, 811264L, 797083L, 790747L,
851979L, 818016L, 831662L, 852349L, 804033L, 803145L, 786247L,
860839L, 795910L, 822010L, 789591L, 834299L, 802108L, 832877L,
877474L, 833860L, 867767L, 863880L, 821284L, 858271L, 931551L,
948445L, 901409L, 922373L, 896791L, 856953L, 919802L, 916720L,
877403L, 829908L, 849162L, 833900L, 768249L, 780771L, 841389L,
825546L, 801885L, 882678L, 829029L, 818576L, 906919L, 873642L,
841929L, 860188L, 861715L, 790616L, 887603L, 854544L, 814919L,
928184L, 872587L, 791991L, 806793L, 800254L, 798296L, 804740L,
923346L, 840914L, 852060L, 771300L, 827609L, 869403L, 838759L,
770951L, 790792L, 820932L, 761230L, 761243L, 751866L, 816921L,
778291L, 835260L, 815254L, 791154L, 861039L, 893872L, 829298L,
841222L, 838216L, 855151L, 834292L, 855123L, 838598L, 830432L,
916504L, 908291L, 926400L, 919217L, 920446L, 854540L, 830751L,
863459L, 835683L, 933347L, 805612L, 789369L, 810466L, 860929L,
871133L, 898502L, 814073L, 893476L, 816818L, 873364L, 900984L,
856223L, 823344L, 845817L, 847847L, 832718L), `1999` = c(817466L,
822745L, 819157L, 805801L, 796451L, 785995L, 880656L, 892468L,
790117L, 833717L, 800929L, 823888L, 782832L, 821916L, 853710L,
849825L, 805200L, 834506L, 737094L, 793421L, 823803L, 789255L,
795569L, 836376L, 901132L, 783869L, 810076L, 755919L, 839444L,
822805L, 822369L, 794873L, 797457L, 751425L, 752569L, 797679L,
811001L, 834370L, 784700L, 754835L, 771949L, 906268L, 780287L,
798663L, 860696L, 860293L, 779243L, 879368L, 832049L, 837296L,
844900L, 760638L, 821358L, 796651L, 820591L, 800522L, 779571L,
845495L, 892820L, 857997L, 876785L, 908799L, 855913L, 932897L,
889573L, 940839L, 899977L, 803187L, 838223L, 830042L, 860734L,
899570L, 876034L, 856779L, 879278L, 907299L, 853986L, 835392L,
815425L, 809588L, 809447L, 769000L, 871117L, 794254L, 900438L,
836821L, 802066L, 757051L, 833019L, 858099L, 807477L, 807580L,
868321L, 796027L, 775259L, 803746L, 833905L, 909254L, 887612L,
761705L, 823728L, 769458L, 772990L, 802883L, 917942L, 830936L,
781799L, 839423L, 888538L, 851267L, 804786L, 863749L, 874913L,
770914L, 899285L, 969316L, 971403L, 950551L, 834636L, 811503L,
780043L, 777131L, 742973L, 770063L, 827975L, 862785L, 850089L,
793426L, 841955L, 839751L, 861099L, 816581L, 843043L, 842870L,
828226L, 891820L, 871835L, 777392L, 813120L, 811254L, 820966L,
819176L, 806794L, 849012L, 809990L, 813028L, 853523L, 842200L,
817616L, 829678L, 891578L, 832295L, 879622L, 843686L, 874478L,
878924L, 856715L, 848707L, 840974L, 882337L, 795664L, 806677L,
942431L, 922202L, 919185L, 802925L, 824141L, 795445L, 875284L,
887994L, 833016L, 843472L, 806011L, 814177L, 822085L, 866495L,
795695L, 876189L, 832600L, 832360L, 825229L, 856661L, 833596L,
903413L, 866899L, 842620L, 896918L, 866043L, 794675L, 869040L,
824413L, 853468L, 824536L, 867855L, 899980L, 837507L, 891818L,
871498L, 872051L, 799333L, 831289L, 812314L, 822736L, 848116L,
786750L, 903114L, 869635L, 906358L, 845336L, 856249L, 871192L,
791061L, 833561L, 757643L, 808088L, 842856L, 851468L, 883145L,
862983L, 888536L, 788919L, 805526L, 841952L, 972447L, 890371L,
865265L, 886832L, 896688L, 861920L, 881235L, 831708L, 867960L,
829711L, 805086L, 858972L, 877606L, 836467L, 782661L, 773669L,
857699L, 794670L, 757352L, 882109L, 786671L, 850180L, 754708L,
793371L, 836036L, 799068L, 800423L, 767832L, 807983L, 830468L,
746039L, 775495L, 794662L, 824132L, 769614L, 722164L, 777096L,
794442L, 774975L, 742582L, 810646L, 894862L, 806510L, 828536L,
777363L, 817475L, 773217L, 822723L, 777244L, 830565L, 797223L,
818483L, 848676L, 815713L, 865914L, 744032L, 816089L, 771100L,
749175L, 856511L, 863205L, 838130L, 802734L, 794219L, 884791L,
863338L, 880383L, 890108L, 949470L, 799085L, 896638L, 879283L,
831889L, 906112L, 821268L, 848856L, 722524L, 801416L, 819484L,
720671L, 804937L, 821514L, 833717L, 818827L, 799486L, 813639L,
887455L, 837710L, 861528L, 774589L, 887336L, 876421L, 832819L,
842832L, 872169L, 897128L, 886015L, 834615L, 952765L, 975254L,
841009L, 920807L, 894593L, 809435L, 839233L, 826552L, 795874L,
855425L, 847293L, 790963L, 822984L, 848565L, 865199L, 911083L,
880805L, 809653L, 751219L, 772855L, 818818L, 841637L, 843120L,
798407L, 855846L, 878213L, 895660L, 818450L, 873372L, 863945L,
817162L, 851064L, 794288L, 869624L, 853478L, 839096L, 819827L,
849733L, 886826L, 899875L, 853697L, 826174L, 826313L, 795171L,
751596L, 753768L, 710024L, 762404L, 761295L, 829502L, 826345L,
844003L, 761952L, 753698L, 745282L, 763376L, 762427L, 774650L,
743522L, 765005L, 818128L, 801947L, 891859L, 871630L, 792358L,
774246L, 903079L, 885658L, 837674L, 838529L, 761572L, 791206L,
802170L, 807694L, 780869L, 809973L, 805961L, 747778L, 804973L,
811810L, 827156L, 746594L, 884131L, 806635L, 810719L, 822785L,
850893L, 860656L, 781086L, 806784L, 848593L, 842313L, 845116L,
860888L, 849938L, 816905L, 803360L, 811577L, 812527L, 794347L,
869719L, 858018L, 839195L, 805143L, 844978L, 869115L, 913573L,
878501L, 802152L, 804933L, 833554L, 864091L, 927957L, 901156L,
979139L, 829682L, 855858L, 829522L, 784665L, 865280L, 842557L,
842783L, 870459L, 866035L, 810546L, 812575L, 823051L, 909562L,
858101L, 771539L, 787704L, 812127L, 869660L, 914629L, 836849L,
777664L, 891312L, 806010L, 844510L, 763195L, 838758L, 806553L,
879549L, 829077L, 838765L, 892296L, 924979L, 923947L, 864330L,
847760L, 811817L, 793453L, 831193L, 839740L, 780529L, 789296L,
749683L, 786425L, 864232L, 814690L, 880440L, 930633L, 893004L,
901251L, 844780L, 914505L, 873075L, 832940L, 823989L, 832155L,
840761L, 837064L, 820151L, 814262L, 780218L, 817016L, 869107L,
813380L, 852837L, 796232L, 766351L, 890673L, 828894L, 739992L,
782203L, 774298L, 809855L, 803374L, 761051L, 813459L, 848909L,
867288L, 811804L, 856230L, 834648L, 852895L, 890351L, 835729L,
849257L, 835857L, 817460L, 822920L, 781368L, 811768L, 817988L,
823637L, 907225L, 838152L, 744061L, 809238L, 844597L, 787324L,
790089L, 884199L, 929816L, 885901L, 879326L, 775341L, 893172L,
874810L, 887255L, 871984L, 853616L, 834535L, 848509L, 813161L,
781259L, 872368L, 812551L, 815376L, 819059L, 819964L, 846184L,
811140L, 869797L, 821709L, 842377L, 872110L, 910859L, 863305L,
841551L, 782102L, 839191L, 754426L, 755274L, 787510L, 791636L,
836686L, 805622L, 779662L, 765943L, 776152L, 794017L, 805404L,
768341L, 771651L, 901155L, 914018L, 823916L, 937217L, 937061L,
848487L, 831773L, 800119L, 834739L, 813806L, 840077L, 881464L,
856587L, 904172L, 920602L, 899453L, 796174L, 824706L, 888210L,
875121L, 844981L, 863610L, 840164L, 965214L, 915794L, 840244L,
845475L, 880428L, 926829L, 830536L, 840893L, 908012L, 922721L,
902944L, 786077L, 872013L, 782278L, 835464L, 813254L, 827176L,
808397L, 818451L, 816272L, 809686L, 848443L, 762630L, 791244L,
799153L, 795232L, 809867L, 796897L, 828606L, 807116L, 848864L,
842824L, 859860L, 823586L, 898408L, 882410L, 860557L, 917587L,
802902L, 819188L, 821803L, 865168L, 877561L, 874523L, 914930L,
918135L, 922081L, 803373L, 857603L, 772681L, 844496L, 868367L,
830665L, 842774L, 909492L, 865310L, 846725L, 906674L, 821872L,
805448L, 826771L, 794728L, 836133L, 823823L, 788783L, 803635L,
788384L, 773190L, 830239L, 795936L, 808336L, 815260L, 816620L,
877807L, 807538L, 860462L, 932358L, 825122L, 731388L, 775836L,
811989L, 894457L, 843877L, 834572L, 844008L, 798540L, 757044L,
806334L, 768661L, 790512L, 806921L, 782754L, 889853L, 828350L,
918976L, 848855L, 841600L, 845575L, 881528L, 864764L, 837689L,
792031L, 843310L, 807574L, 776600L, 873572L, 761086L, 789535L,
782844L, 782342L, 798275L, 777848L, 806813L, 817457L, 782033L,
823816L, 923780L, 860756L, 905064L, 779117L, 924736L, 889547L,
871591L, 861482L, 801903L, 856956L, 838532L, 861165L, 815639L,
804207L, 781092L, 774602L, 767810L, 843278L, 865446L, 844828L,
797926L, 788804L, 865618L, 820706L, 803197L, 845594L, 773224L,
833183L, 790253L, 751143L, 805550L, 836928L, 872035L, 825456L,
821281L, 819724L, 795112L, 852341L, 855183L, 797370L, 778203L,
772410L, 791401L, 856292L, 833153L, 799171L, 822784L, 821541L,
759163L, 752725L, 823058L, 868463L, 822451L, 899865L, 844216L,
948970L, 815748L, 915963L, 805232L, 850041L, 833344L, 762889L,
772303L, 801559L, 875531L, 890538L, 863649L, 848305L, 787027L,
792015L, 872777L, 831774L, 843727L, 777726L, 841850L, 855042L,
826507L, 890151L, 862172L, 867234L, 807084L, 823491L, 879814L,
870256L, 865683L, 840722L, 883921L, 822709L, 817602L, 884516L,
882947L, 854939L, 881512L, 824609L, 798144L, 802378L, 818241L,
879895L, 842737L, 830722L, 799470L, 808440L, 850235L, 809749L,
785514L, 791097L, 776594L, 832455L, 892785L, 788375L, 788495L,
863463L, 862769L, 889916L, 811106L, 846562L, 865957L, 813880L,
782466L, 856224L, 819979L, 869952L, 847874L, 837899L, 831070L,
856048L, 785177L, 832615L, 800138L, 884286L, 795873L, 874169L,
766395L, 809265L, 808782L, 841648L, 815290L, 820532L, 862054L,
737008L, 816332L, 816139L, 827685L, 716099L, 793839L, 871866L,
790198L, 803037L, 857658L, 804356L, 829946L, 837004L, 854596L,
852902L, 830830L, 852809L, 951663L, 791412L, 726537L, 854961L,
776368L, 790938L, 866656L, 818059L, 814375L, 814944L, 863731L,
831012L, 873298L, 882825L, 858870L, 813131L, 777469L, 760245L,
846262L, 803931L, 819783L, 832909L, 798153L, 808056L, 793660L,
854528L, 787788L, 822620L, 774054L, 831390L, 783776L, 810100L,
858751L, 827689L, 846691L, 837978L, 793532L, 809838L, 869145L,
905050L, 852205L, 883292L, 842178L, 817162L, 889506L, 894851L,
870094L, 841085L, 855814L, 837060L, 807115L, 820730L, 871873L,
851383L, 798034L, 872999L, 830222L, 852534L, 938575L, 889197L,
824968L, 835481L, 839512L, 750500L, 866731L, 820721L, 778560L,
945321L, 864282L, 792698L, 827572L, 794512L, 805481L, 833082L,
965421L, 894709L, 910833L, 815178L, 876160L, 912741L, 880306L,
777420L, 793066L, 846777L, 748192L, 769122L, 757968L, 829734L,
784788L, 856758L, 810567L, 764880L, 836954L, 860819L, 796533L,
802496L, 795909L, 845091L, 826198L, 862620L, 846915L, 834737L,
940717L, 907377L, 924602L, 900260L, 925743L, 801949L, 786639L,
821518L, 781416L, 888482L, 761106L, 739423L, 790034L, 850598L,
861402L, 935786L, 829381L, 901729L, 830359L, 891445L, 887752L,
817640L, 785491L, 795245L, 810323L, 781194L), `2000` = c(623002L,
624242L, 616217L, 592639L, 583748L, 585614L, 690795L, 693421L,
602001L, 647601L, 605675L, 654182L, 592268L, 636759L, 678144L,
648945L, 603002L, 624047L, 525314L, 590073L, 629775L, 604191L,
613349L, 641110L, 713993L, 612878L, 625549L, 580745L, 673121L,
659368L, 639304L, 619525L, 609135L, 546436L, 575323L, 615426L,
632997L, 653337L, 593292L, 587688L, 586955L, 750562L, 607356L,
626066L, 672098L, 678994L, 586172L, 691128L, 652840L, 645450L,
662456L, 583551L, 624035L, 620502L, 637165L, 611527L, 588686L,
647151L, 675638L, 647716L, 671237L, 705613L, 650854L, 730317L,
682748L, 731971L, 690883L, 600261L, 644439L, 627211L, 674719L,
714834L, 683459L, 657403L, 676519L, 693983L, 642932L, 626723L,
617757L, 605236L, 611094L, 563964L, 691302L, 612467L, 726575L,
668070L, 613696L, 580994L, 630698L, 649288L, 595521L, 601646L,
659099L, 577716L, 544919L, 565508L, 619803L, 689110L, 681100L,
553541L, 621824L, 559174L, 563585L, 588928L, 715297L, 625726L,
576948L, 648725L, 711222L, 689535L, 629521L, 666957L, 675388L,
573443L, 696518L, 768811L, 782152L, 755454L, 651904L, 633796L,
597929L, 608994L, 563873L, 586791L, 654874L, 678036L, 662967L,
587534L, 639903L, 633866L, 672064L, 637044L, 662903L, 650536L,
618436L, 682133L, 671252L, 576420L, 603867L, 607666L, 625762L,
627721L, 600084L, 659013L, 619720L, 626164L, 669304L, 655971L,
627366L, 627621L, 691429L, 631387L, 682110L, 646569L, 676926L,
676009L, 669430L, 668301L, 628347L, 670451L, 589336L, 605572L,
765542L, 745622L, 729510L, 620292L, 625048L, 607340L, 674198L,
670857L, 615131L, 620510L, 575557L, 584867L, 608265L, 670113L,
589679L, 669727L, 625280L, 622701L, 621746L, 655637L, 639135L,
703318L, 650820L, 618726L, 679626L, 657204L, 589230L, 664746L,
619130L, 655486L, 623976L, 668733L, 705588L, 635774L, 699828L,
682934L, 672654L, 616230L, 645813L, 618156L, 619117L, 650202L,
590441L, 710334L, 676499L, 711776L, 656449L, 663077L, 700987L,
620943L, 646387L, 576831L, 618778L, 644937L, 638996L, 687193L,
685745L, 715900L, 597638L, 607007L, 651697L, 788743L, 708690L,
675171L, 688316L, 702854L, 665879L, 682561L, 630316L, 662773L,
619749L, 584364L, 647127L, 664971L, 617672L, 570127L, 557069L,
656042L, 593704L, 557859L, 698194L, 605274L, 660561L, 573684L,
603245L, 660703L, 598202L, 608667L, 560505L, 587840L, 620137L,
557630L, 594046L, 610577L, 641004L, 570571L, 518652L, 592932L,
603432L, 599927L, 557229L, 627641L, 714335L, 624952L, 653243L,
573531L, 613237L, 586813L, 623779L, 579472L, 625390L, 578478L,
617882L, 655284L, 620554L, 682979L, 558609L, 627021L, 589895L,
560200L, 677265L, 675118L, 648102L, 603802L, 606862L, 704429L,
669684L, 685546L, 703751L, 767665L, 611902L, 720271L, 696984L,
655172L, 724737L, 633216L, 634516L, 506751L, 597895L, 615316L,
510766L, 595097L, 618682L, 632235L, 623180L, 615080L, 622076L,
700169L, 649678L, 674569L, 596566L, 707319L, 683330L, 648893L,
662920L, 696695L, 733247L, 715806L, 649152L, 768681L, 776903L,
638533L, 744426L, 724841L, 614524L, 661551L, 659677L, 626747L,
690763L, 689462L, 601425L, 624505L, 659163L, 683751L, 728383L,
696264L, 611919L, 549857L, 572464L, 619497L, 638417L, 647293L,
598752L, 660805L, 687100L, 698289L, 606843L, 672413L, 669806L,
626389L, 651317L, 582023L, 672769L, 668300L, 653518L, 619495L,
647648L, 695623L, 698253L, 657349L, 622955L, 624036L, 601798L,
549663L, 556915L, 529487L, 576553L, 578616L, 639288L, 634470L,
643375L, 567874L, 566161L, 563035L, 566854L, 565903L, 594655L,
556623L, 574285L, 636131L, 599200L, 711574L, 680240L, 606933L,
587780L, 728468L, 686876L, 646734L, 643480L, 558807L, 598833L,
625161L, 631555L, 594777L, 609629L, 613431L, 570959L, 614972L,
621929L, 649650L, 559549L, 706570L, 609715L, 625587L, 638028L,
671152L, 688906L, 606644L, 620128L, 658882L, 651664L, 653550L,
666621L, 675314L, 645882L, 625371L, 650218L, 619381L, 601373L,
694513L, 671587L, 650513L, 614589L, 657862L, 682245L, 726499L,
683298L, 599280L, 606566L, 640972L, 652162L, 720008L, 686517L,
756594L, 617894L, 648540L, 623840L, 586779L, 686296L, 678395L,
669404L, 676493L, 688199L, 629111L, 636157L, 629856L, 709465L,
652870L, 579012L, 584750L, 605680L, 662265L, 706378L, 631039L,
590978L, 720507L, 622117L, 666082L, 590011L, 628475L, 595047L,
661832L, 598987L, 606862L, 666275L, 713765L, 720260L, 666069L,
652049L, 604502L, 607300L, 639237L, 634408L, 568941L, 584624L,
547850L, 611716L, 691272L, 638074L, 687101L, 727584L, 696396L,
701340L, 649192L, 722127L, 661150L, 634921L, 608972L, 627256L,
640055L, 629207L, 615865L, 635510L, 599103L, 631478L, 684937L,
626936L, 667640L, 603611L, 563081L, 683885L, 624754L, 538543L,
587008L, 581659L, 611670L, 600964L, 548795L, 600316L, 655053L,
667232L, 612043L, 652456L, 658832L, 672531L, 703673L, 670356L,
674242L, 667213L, 623011L, 631612L, 582706L, 597581L, 608612L,
613163L, 681282L, 607388L, 507649L, 581747L, 616773L, 557033L,
567795L, 672383L, 753554L, 699348L, 694623L, 573507L, 700029L,
672472L, 686284L, 672436L, 664973L, 638665L, 643147L, 613154L,
579958L, 668791L, 624544L, 617609L, 631336L, 636004L, 652971L,
619125L, 670600L, 615466L, 649599L, 695952L, 724306L, 668917L,
648574L, 587543L, 637967L, 553624L, 564339L, 588394L, 599189L,
658994L, 605283L, 593067L, 586117L, 595615L, 611801L, 623150L,
593079L, 571037L, 708957L, 709465L, 611110L, 732643L, 735794L,
647964L, 654664L, 616326L, 651572L, 633688L, 658767L, 694800L,
665826L, 719948L, 739954L, 706957L, 592316L, 618102L, 688409L,
666236L, 639251L, 659681L, 639732L, 764085L, 729979L, 646320L,
656098L, 691069L, 726386L, 620325L, 638396L, 724236L, 746802L,
728693L, 588003L, 689086L, 604956L, 649855L, 637306L, 647571L,
619006L, 626554L, 618918L, 613841L, 669139L, 566020L, 606995L,
594395L, 581553L, 585498L, 595304L, 617635L, 606174L, 657064L,
650096L, 686267L, 642255L, 709221L, 699571L, 672202L, 730718L,
612605L, 606348L, 617387L, 664726L, 670696L, 654850L, 711049L,
705348L, 728715L, 604716L, 647287L, 583303L, 645975L, 662686L,
635927L, 651017L, 715670L, 676874L, 647102L, 696864L, 608739L,
586946L, 627184L, 601523L, 643618L, 625025L, 582510L, 598201L,
580648L, 570165L, 638896L, 607926L, 620833L, 627056L, 626017L,
694757L, 618907L, 672254L, 751477L, 632787L, 539239L, 583667L,
635454L, 713193L, 664501L, 643150L, 657319L, 612709L, 548832L,
593167L, 552079L, 596895L, 617035L, 574670L, 677550L, 618702L,
724326L, 648334L, 654506L, 670542L, 698329L, 662500L, 647188L,
590518L, 631792L, 608255L, 597824L, 687752L, 570360L, 612827L,
596031L, 579910L, 597706L, 578846L, 622214L, 641505L, 593105L,
613683L, 734647L, 659511L, 718627L, 590157L, 733106L, 689023L,
669371L, 667349L, 606536L, 678654L, 658528L, 683701L, 632054L,
633352L, 613732L, 577908L, 577242L, 651102L, 665540L, 648202L,
592906L, 585378L, 660012L, 608279L, 582148L, 624795L, 553169L,
613555L, 580545L, 549475L, 586543L, 622749L, 665938L, 611280L,
610131L, 617603L, 613050L, 656894L, 651160L, 603607L, 579431L,
569048L, 598673L, 660374L, 643944L, 606210L, 621966L, 622864L,
571570L, 567863L, 631424L, 697319L, 627602L, 685110L, 629345L,
739523L, 622937L, 730171L, 617327L, 661212L, 628205L, 564240L,
587382L, 609061L, 682489L, 700425L, 664291L, 642000L, 622125L,
619419L, 707696L, 658943L, 658662L, 584836L, 642217L, 647534L,
607721L, 680083L, 667417L, 682066L, 625431L, 633420L, 696262L,
674280L, 677956L, 655443L, 694232L, 616734L, 612640L, 682260L,
696521L, 660739L, 707937L, 629257L, 602032L, 603346L, 614600L,
680633L, 644670L, 620981L, 591495L, 611247L, 659635L, 601635L,
581136L, 592210L, 589556L, 630211L, 690984L, 577686L, 591510L,
669388L, 651944L, 686794L, 590783L, 629385L, 661708L, 623862L,
583567L, 654120L, 611992L, 670244L, 643900L, 635618L, 626120L,
657727L, 575299L, 621100L, 616727L, 690004L, 599485L, 669825L,
566198L, 600966L, 610712L, 650722L, 618342L, 617321L, 655776L,
532400L, 624184L, 608167L, 625762L, 518768L, 625433L, 700878L,
609799L, 629231L, 680994L, 621678L, 667712L, 653526L, 652082L,
649682L, 610177L, 632191L, 738066L, 573849L, 507888L, 650435L,
572307L, 602389L, 695642L, 629391L, 638052L, 637557L, 714987L,
656465L, 691827L, 697510L, 652706L, 605046L, 565976L, 545703L,
650808L, 607507L, 633431L, 649227L, 595328L, 606677L, 606014L,
673634L, 590514L, 635398L, 575167L, 622560L, 573077L, 610264L,
655532L, 629885L, 648353L, 643416L, 603760L, 613130L, 671471L,
723669L, 662245L, 703037L, 669520L, 651822L, 723048L, 714691L,
681863L, 668905L, 684135L, 638574L, 640965L, 626773L, 686325L,
660619L, 606443L, 680117L, 643994L, 660502L, 749755L, 704475L,
637579L, 647356L, 665959L, 556414L, 670414L, 633217L, 582850L,
740929L, 663462L, 600837L, 642270L, 600531L, 597202L, 618249L,
757628L, 689802L, 720877L, 614814L, 676192L, 719919L, 689294L,
591911L, 599337L, 652586L, 545175L, 567351L, 557521L, 622149L,
578635L, 635437L, 592162L, 561382L, 646590L, 662059L, 593755L,
614869L, 601455L, 641799L, 629322L, 651038L, 632038L, 619011L,
716832L, 689797L, 705297L, 676350L, 706416L, 586911L, 571970L,
607387L, 583227L, 690820L, 571468L, 538311L, 582070L, 648090L,
673261L, 745684L, 623346L, 696082L, 629545L, 705075L, 690488L,
605934L, 586739L, 610313L, 631569L, 597269L), `2001` = c(700825L,
672763L, 645686L, 653189L, 645035L, 641809L, 783843L, 731028L,
633384L, 712145L, 721796L, 721147L, 652116L, 739092L, 798658L,
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684395L, 753852L, 827842L, 655426L, 658776L, 659865L, 757084L,
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821878L, 658954L, 691332L, 782883L, 770063L, 729011L, 730273L,
784248L, 793677L, 739939L, 791604L, 823178L, 768700L, 872044L,
831370L, 860001L, 806386L, 710327L, 785001L, 729205L, 769628L,
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767040L, 696012L, 681036L, 616889L, 739190L, 678386L, 829133L,
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644909L, 671770L, 594740L, 615800L, 668843L, 809238L, 678176L,
654879L, 765170L, 782933L, 800016L, 741368L, 769728L, 739995L,
631886L, 824373L, 870836L, 914379L, 855553L, 783199L, 755589L,
724984L, 731574L, 692151L, 709865L, 767589L, 720652L, 673095L,
633222L, 695316L, 711007L, 782816L, 723752L, 799571L, 786918L,
675728L, 762154L, 727884L, 622002L, 679255L, 635299L, 649859L,
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735397L, 738202L, 783825L, 743164L, 761587L, 707150L, 757146L,
725640L, 718514L, 698936L, 670354L, 728707L, 641452L, 685876L,
873749L, 877957L, 848594L, 737676L, 722418L, 718561L, 809329L,
756681L, 714228L, 696194L, 636532L, 668580L, 695642L, 774394L,
667884L, 726984L, 660746L, 636507L, 646360L, 684046L, 696264L,
756655L, 667084L, 629190L, 746695L, 701333L, 611138L, 675310L,
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842945L, 818375L, 708421L, 708209L, 697235L, 676305L, 740292L,
622356L, 785559L, 740959L, 805188L, 715606L, 757297L, 817376L,
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838050L, 846032L, 699313L, 708311L, 717389L, 862935L, 780390L,
740444L, 755920L, 745812L, 707172L, 743022L, 709676L, 772235L,
711023L, 674251L, 746243L, 785387L, 701283L, 654646L, 598645L,
740444L, 635431L, 618011L, 725556L, 607197L, 686974L, 595326L,
650287L, 791992L, 721112L, 741354L, 666181L, 688514L, 674799L,
634648L, 677488L, 653438L, 694144L, 617390L, 571418L, 678800L,
678672L, 656320L, 599476L, 654237L, 791423L, 703218L, 723728L,
641279L, 677078L, 644009L, 689883L, 631184L, 638310L, 613587L,
683619L, 703585L, 673411L, 746231L, 602061L, 713137L, 617403L,
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734081L, 748674L, 770859L, 852640L, 713935L, 820302L, 784086L,
809547L, 884450L, 761596L, 767455L, 594016L, 694054L, 712854L,
594664L, 664193L, 735879L, 693297L, 686211L, 645292L, 654879L,
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754059L, 796361L, 766821L, 729161L, 656964L, 685878L, 719034L,
658805L, 663902L, 617376L, 685803L, 672795L, 765402L, 752009L,
794094L, 659137L, 646265L, 651219L, 645438L, 651206L, 652889L,
653262L, 713278L, 817101L, 698675L, 845148L, 802957L, 727222L,
698748L, 845584L, 774618L, 736149L, 732465L, 656302L, 675064L,
724591L, 714433L, 668172L, 699599L, 678296L, 628269L, 682917L,
674345L, 742470L, 628218L, 772809L, 685633L, 759682L, 780024L,
809302L, 786602L, 703030L, 693843L, 704095L, 750757L, 782749L,
760868L, 780835L, 731769L, 665365L, 741477L, 722537L, 693499L,
805313L, 761600L, 737947L, 761077L, 794246L, 801096L, 860905L,
821472L, 728279L, 759097L, 808084L, 808099L, 831246L, 760164L,
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628245L, 558057L, 587214L, 613313L, 666475L, 724283L, 627916L,
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741928L, 685063L, 704275L, 702590L, 718665L, 633279L, 622744L,
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676788L, 692815L, 675989L, 697892L, 677874L, 693841L, 754624L,
708877L, 764828L, 676955L, 653146L, 785941L, 672156L, 575125L,
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695362L, 789793L, 834462L, 832024L, 738789L, 718528L, 803397L,
764505L, 738090L, 759417L, 715970L, 899270L, 814864L, 715127L,
750326L, 763931L, 851081L, 741601L, 735491L, 885975L, 892188L,
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701804L, 729174L, 728632L, 732675L, 803916L, 683280L, 703069L,
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744978L, 869571L, 841558L, 816468L, 728390L, 825803L, 851622L,
734622L, 806298L, 731551L, 742474L, 661290L, 661216L, 736326L,
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795555L, 767050L, 820993L, 751705L, 741318L, 720708L, 731394L,
775422L, 712761L, 651749L, 608822L, 681316L, 733434L, 708270L,
687855L, 643632L, 613652L, 670589L, 721612L, 576275L, 603330L,
670392L, 658904L, 721765L, 632753L, 677461L, 752841L, 717269L,
672741L, 758779L, 705065L, 800201L, 717707L, 702191L, 737267L,
767281L, 622976L, 691233L, 691888L, 783269L, 644537L, 701422L,
562979L, 598686L, 655497L, 698536L, 678724L, 684328L, 713686L,
633907L, 748923L, 718087L, 783122L, 616214L, 785436L, 837561L,
720278L, 696332L, 757935L, 709144L, 744842L, 748027L, 699880L,
686595L, 653223L, 674709L, 801787L, 625823L, 542778L, 748294L,
656023L, 718942L, 795229L, 701049L, 736263L, 730687L, 846346L,
751488L, 824881L, 824545L, 759785L, 690064L, 631644L, 564764L,
716251L, 662277L, 697959L, 704200L, 625887L, 638620L, 658943L,
748318L, 625582L, 666317L, 610559L, 654469L, 560830L, 607489L,
684892L, 671386L, 669945L, 711021L, 672044L, 680155L, 736974L,
800884L, 729945L, 784176L, 752118L, 751832L, 814015L, 825359L,
783236L, 777007L, 782081L, 718790L, 746167L, 724211L, 739334L,
704031L, 648458L, 700427L, 726795L, 757690L, 839775L, 824669L,
749686L, 748730L, 793777L, 640246L, 820063L, 745708L, 659432L,
827321L, 763859L, 636383L, 733452L, 655635L, 653167L, 669088L,
817031L, 751498L, 837503L, 792021L, 827864L, 859633L, 816823L,
659420L, 678807L, 731756L, 639363L, 663508L, 664509L, 736549L,
664937L, 709169L, 641097L, 624913L, 734933L, 747051L, 666695L,
700072L, 655211L, 737346L, 708316L, 725398L, 741122L, 690237L,
772849L, 747997L, 807062L, 823520L, 805739L, 685879L, 659471L,
738646L, 673280L, 770148L, 612475L, 598588L, 637973L, 709016L,
750191L, 816687L, 703001L, 731106L, 659603L, 730808L, 752550L,
621802L, 603432L, 676474L, 701548L, 661811L), `2002` = c(737061,
697300, 671445, 696412, 688434, 736571, 888723, 787541, 697948,
747449, 804396, 721542, 640437, 794734, 926535, 903091, 848619,
888844, 796578, 737534, 674416, 675300, 704678, 803330, 881111,
676438, 730745, 728484, 882402, 791757, 843027, 803979, 701014,
612465, 701070, 813251, 845903, 783997, 711609, 765017, 724609,
884842, 717873, 773113, 785152, 829512, 695638, 949730, 824709,
899021, 895155, 659076, 696144, 811016, 814322, 741518, 729509,
798399, 788784, 723256, 798101, 851287, 785647, 935860, 868046,
904887, 828679, 719580, 834677, 822278, 836012, 842183, 876649,
796403, 832231, 844434, 913331, 802082, 817308, 743121, 676648,
610091, 750671, 755488, 938022, 877010, 796876, 906891, 854533,
830874, 716372, 674621, 724842, 597622, 586748, 599139, 747377,
825880, 913176, 670788, 681299, 588568, 588460, 735366, 874312,
704883, 690637, 830609, 824290, 890327, 809871, 785345, 731803,
617860, 851490, 895752, 944626, 888566, 858851, 827132, 798133,
785721, 722704, 742771, 791726, 734541, 666481, 633319, 679828,
713115, 792855, 699254, 829975, 774956, 650655, 731993, 721028,
616400, 689160, 641707, 650916, 732226, 698817, 815809, 826407,
819182, 887546, 864382, 827636, 894686, 946963, 835403, 850857,
786109, 841400, 763314, 747892, 751108, 694419, 776649, 656819,
692594, 919191, 963670, 939301, 766842, 746257, 758634, 859705,
792703, 749620, 718491, 654276, 801043, 783997, 874882, 742989,
832236, 710466, 647347, 676667, 737986, 809893, 842689, 711769,
629924, 756017, 687784, 566682, 652523, 616208, 736268, 788521,
892112, 960254, 837244, 944812, 925542, 885307, 743603, 762255,
753890, 694604, 782465, 594935, 836989, 877263, 963761, 833229,
908818, 929423, 716628, 705016, 627199, 650537, 680794, 687875,
787359, 866314, 870424, 706073, 646218, 646015, 814241, 736376,
696702, 758666, 738381, 723831, 735789, 711590, 750543, 696396,
677245, 778090, 788063, 701323, 660428, 607359, 834683, 659692,
628558, 761234, 608779, 732267, 628982, 720946, 832528, 792020,
807501, 737947, 743654, 662878, 648843, 706105, 657858, 658739,
604957, 527723, 670080, 660521, 656498, 564716, 633430, 871875,
763813, 748374, 664611, 705705, 695336, 793533, 737781, 676943,
654093, 712018, 758020, 785826, 858025, 684899, 783666, 664861,
646383, 849734, 878323, 795594, 731548, 614784, 799230, 790534,
795608, 756970, 859030, 704384, 809026, 793445, 854507, 942256,
797591, 883544, 642579, 737076, 815351, 652359, 761070, 833433,
745394, 742759, 677814, 714109, 822465, 730669, 866888, 709708,
877702, 750796, 695020, 759809, 795181, 878367, 816330, 721151,
877302, 924312, 700375, 901566, 874046, 713668, 836352, 833659,
735534, 842782, 850432, 768886, 785266, 799214, 776829, 926085,
893011, 737810, 711192, 691183, 791882, 766593, 820110, 718676,
820484, 766996, 770438, 651080, 691358, 663252, 677041, 756058,
706115, 838731, 814780, 821955, 746054, 778902, 841060, 758828,
715745, 612489, 649340, 782139, 630722, 654342, 607022, 701325,
676279, 753798, 732418, 781333, 626470, 589327, 615880, 604899,
601528, 590102, 612151, 722910, 882708, 750644, 853363, 827767,
751660, 756330, 957474, 918586, 888169, 878080, 772794, 779452,
857410, 820527, 735949, 766729, 730087, 672092, 702255, 662726,
729421, 618478, 784693, 696595, 796941, 816462, 874329, 921311,
830445, 759488, 738826, 816735, 866590, 878395, 899753, 794279,
697456, 849342, 776841, 778632, 877881, 772880, 766268, 776569,
867036, 846157, 916766, 850171, 748996, 760646, 852490, 899775,
920383, 816463, 954413, 880238, 770534, 696232, 668302, 783027,
830950, 781537, 760492, 740182, 644193, 606647, 595527, 750961,
642511, 574073, 595216, 624640, 704541, 746165, 645018, 657710,
889192, 715783, 880443, 754464, 772311, 757942, 808663, 723667,
702436, 771374, 936369, 998174, 836931, 788029, 714340, 772796,
769673, 785194, 697291, 678446, 605164, 718098, 842830, 836823,
887300, 864200, 827884, 837076, 782475, 893194, 750965, 747849,
680477, 621927, 647114, 655479, 657829, 690056, 693668, 720880,
823923, 791688, 843416, 704278, 641501, 787059, 698295, 582212,
654158, 634767, 677432, 641782, 606803, 639247, 723783, 686948,
591231, 681125, 802701, 846388, 1024040, 942300, 894078, 884865,
810333, 785425, 682296, 672214, 682728, 648370, 758963, 707963,
614203, 767905, 863336, 713782, 644889, 793996, 942656, 911605,
912779, 733958, 907690, 874195, 869671, 861255, 879298, 739933,
778266, 659482, 611590, 762217, 692926, 705090, 761544, 755409,
791637, 725418, 778390, 744743, 749046, 834555, 884980, 765560,
774000, 733223, 739546, 616466, 654382, 709514, 771105, 837099,
795889, 730344, 784082, 835664, 833445, 890311, 774773, 728340,
904040, 819786, 652319, 749783, 755063, 639495, 673183, 592783,
645968, 668459, 705154, 743614, 669163, 803658, 857846, 894681,
761922, 750496, 825647, 779903, 780759, 788360, 711994, 910708,
845915, 705427, 754110, 789684, 849248, 728984, 750076, 907602,
911084, 851310, 630725, 727027, 627032, 684523, 699601, 722462,
662871, 703863, 716049, 782704, 836426, 684039, 705706, 710389,
643123, 669271, 650223, 680857, 635327, 698942, 748810, 789045,
754264, 808144, 826522, 900929, 949816, 816916, 761452, 760017,
819639, 830822, 752562, 865251, 868222, 841988, 629488, 700261,
682758, 825852, 758492, 808918, 830263, 920086, 904542, 765525,
810932, 666772, 718637, 691646, 699090, 746976, 699210, 677165,
697467, 590433, 581184, 718997, 687121, 787712, 716539, 719632,
851052, 806875, 919501, 1013010, 890716, 654206, 788354, 844878,
960772, 850385, 810838, 781802, 669143, 606961, 682323, 646040,
806863, 758060, 667633, 762981, 728753, 897437, 778084, 796776,
835966, 830138, 794948, 775296, 743482, 718854, 687739, 661402,
756580, 586804, 666304, 775448, 839833, 766400, 731541, 798592,
788323, 670398, 671239, 899380, 762499, 825944, 678602, 883995,
806831, 817288, 746172, 636384, 747805, 777777, 798706, 762444,
712449, 703470, 643674, 646058, 726321, 781294, 775365, 675122,
656163, 757885, 693376, 614948, 705649, 595462, 724788, 759991,
762694, 798490, 700529, 909355, 798994, 840144, 882875, 875377,
867786, 765127, 730669, 616686, 584697, 603055, 758250, 776263,
759620, 751483, 699217, 600789, 638745, 725806, 872957, 773329,
776966, 750937, 870428, 717027, 909227, 846947, 761767, 677402,
618373, 670746, 676409, 807444, 825882, 786925, 695710, 704014,
749811, 899774, 895168, 881777, 798561, 915848, 925631, 795274,
825985, 742879, 765637, 663933, 644714, 729791, 692539, 652853,
703510, 744784, 660933, 708847, 825250, 864602, 841206, 859477,
778468, 791752, 807337, 750648, 830206, 736095, 669822, 630986,
786716, 759589, 717739, 729979, 678919, 619424, 671328, 734428,
559814, 606042, 684919, 693069, 786213, 736602, 734656, 771051,
727269, 700167, 812601, 787607, 886339, 818266, 805150, 781634,
818465, 691428, 737997, 730757, 837762, 678675, 704692, 549751,
594585, 669300, 683080, 696205, 692249, 727725, 648362, 762148,
765926, 842726, 668072, 871266, 961102, 802348, 805741, 869927,
759234, 766723, 784138, 682711, 694186, 699821, 731318, 871093,
714360, 606056, 778078, 659737, 744568, 836926, 665832, 729241,
761820, 921766, 827491, 909402, 904047, 818089, 757533, 683403,
604033, 762477, 738017, 810658, 827944, 719207, 677172, 711108,
838085, 669248, 698063, 628980, 651199, 550583, 627176, 761344,
764431, 794121, 793058, 698717, 697262, 787187, 872895, 803903,
849486, 836358, 828966, 916885, 891968, 867730, 882454, 873394,
753584, 835548, 805077, 797281, 766118, 721454, 771870, 804090,
884039, 923094, 925627, 809207, 853376, 888003, 690004, 938878,
836715, 716212, 897899, 794716, 661865, 799297, 729808, 714106,
695208, 849011, 773052, 879237, 862109, 902953, 925954, 924681,
755734, 767041, 825741, 697373, 744211, 702412, 782072, 673232,
734779, 671365, 648305, 723225, 710810, 641756, 712471, 700938,
824750, 805430, 782493, 806657, 782568, 851361, 843638, 894833,
952268, 927982, 811106, 717017, 847975, 787195, 807968, 594139,
594992, 634817, 733527, 814824, 829255, 698537, 699730, 631652,
696628, 771768, 618318, 601306, 664455, 654214, 620140), `2003` = c(808611,
751366, 720801, 757395, 711113, 770364, 922964, 887436, 816098,
806653, 917472, 705142, 656527, 847692, 1004400, 1006180, 1013260,
1048340, 859922, 785015, 760574, 725283, 713382, 828407, 939173,
835110, 805614, 825401, 1009320, 886837, 925059, 852220, 808036,
662122, 716364, 837320, 872173, 863619, 811671, 921842, 860246,
958306, 790492, 942714, 884393, 842629, 686468, 999191, 941006,
1058760, 1100480, 706353, 750633, 915121, 913157, 851693, 861942,
884913, 916698, 912343, 956557, 1074460, 1045040, 1178730, 1006820,
1055100, 941429, 823614, 918025, 892858, 847806, 847143, 890459,
812079, 855693, 860600, 961161, 846430, 1010580, 855132, 730853,
626188, 766189, 809658, 1026910, 911309, 851182, 971922, 929034,
861915, 802884, 751482, 803923, 747127, 768143, 740719, 883087,
919494, 1059790, 827296, 774314, 657065, 694065, 855851, 986738,
820674, 797296, 1005210, 852693, 901026, 861646, 847375, 807887,
688968, 903566, 889967, 911400, 879381, 892111, 866335, 810882,
786916, 725575, 707937, 787635, 747697, 710441, 715245, 760711,
825757, 869584, 841961, 904685, 871523, 733390, 794488, 759582,
654810, 793323, 747096, 643431, 712175, 706419, 811119, 866688,
867302, 999320, 943599, 858417, 978772, 986133, 856925, 888109,
877933, 899152, 830615, 807739, 817767, 724033, 811013, 640625,
767798, 1016880, 1096270, 1080490, 916148, 856081, 864894, 1001520,
923264, 814859, 803288, 774180, 1070490, 951248, 999108, 811343,
910919, 712530, 667199, 729640, 795642, 924043, 973661, 765640,
641657, 805853, 734633, 612925, 703233, 675453, 820852, 917023,
1060660, 1108530, 904694, 1039420, 1015750, 902038, 737261, 696187,
695420, 621580, 693449, 496453, 779952, 873690, 948588, 810803,
924059, 981975, 746789, 772041, 670037, 714892, 756598, 681343,
815167, 945333, 947156, 739391, 666941, 664369, 816945, 730055,
697901, 759275, 773297, 779438, 854414, 783588, 796679, 738591,
693590, 803269, 786223, 733093, 694765, 653446, 935922, 707633,
695913, 880400, 740325, 983930, 808616, 869977, 922064, 903421,
932843, 861352, 889440, 797490, 727041, 852365, 791789, 738356,
715565, 605697, 721262, 734720, 769732, 588055, 644419, 922017,
815358, 772301, 685415, 790849, 854602, 917725, 883677, 738032,
665047, 680734, 823780, 919155, 956414, 760483, 957330, 773513,
754165, 1065280, 1090450, 1049850, 899204, 688760, 907902, 875461,
915174, 805437, 937820, 808617, 895901, 935167, 925763, 1130800,
799092, 993405, 667198, 852391, 930448, 705523, 820316, 852919,
762800, 821906, 763905, 815816, 915358, 767665, 1008400, 839146,
1000520, 793784, 708089, 813428, 850836, 932258, 929137, 828823,
990274, 1048900, 745000, 973563, 993508, 758515, 893424, 859052,
797937, 979994, 950133, 993195, 989751, 929384, 815660, 1029950,
949754, 755935, 767776, 727444, 822388, 844261, 831388, 769851,
888948, 815785, 829326, 722632, 727026, 667962, 696320, 784518,
680330, 883680, 920707, 884809, 753712, 817348, 856640, 764055,
710780, 645582, 719808, 898668, 652254, 717937, 642559, 741469,
701004, 799407, 752248, 815052, 649864, 584440, 596745, 561329,
555748, 598817, 708261, 745977, 962069, 872997, 911692, 920034,
850645, 874439, 1140420, 1110290, 996998, 963703, 850677, 845518,
942321, 898960, 802389, 924335, 905628, 785040, 765018, 702371,
760736, 640069, 854583, 763069, 956591, 1026130, 1020050, 1083030,
940483, 914259, 877540, 974834, 1116410, 1037050, 1071870, 981984,
797648, 939871, 890180, 909953, 1028080, 871900, 848551, 917508,
1088780, 1016470, 1067160, 990942, 914604, 914989, 972630, 998602,
1132130, 1051610, 1074380, 1004550, 891391, 777405, 773065, 933376,
904096, 807447, 859673, 788463, 631906, 628549, 620467, 913794,
701712, 624145, 658700, 719979, 825063, 829978, 735172, 765434,
993718, 766017, 977187, 802376, 822523, 844726, 869089, 804763,
733494, 804730, 1078290, 1200130, 928031, 874847, 773690, 856607,
814131, 827266, 709928, 687928, 631628, 756492, 924724, 934062,
1018580, 1031180, 998969, 1025680, 884333, 1056630, 893848, 884290,
750318, 729846, 730512, 727732, 666949, 659852, 693443, 735673,
831652, 888271, 940202, 769792, 743128, 860489, 814694, 687031,
784905, 766624, 850126, 764114, 710462, 734615, 874707, 717193,
594226, 751183, 831752, 916074, 1111670, 1013310, 923176, 902826,
819352, 826292, 727003, 720742, 760812, 695677, 813150, 716904,
664977, 855697, 947133, 713489, 697211, 877251, 1098080, 1034330,
1029750, 831090, 1034560, 943397, 974902, 943012, 1006440, 814346,
914817, 726688, 746761, 877373, 874946, 877618, 869964, 879720,
912565, 824683, 873582, 817198, 807047, 938960, 972133, 804014,
840729, 913353, 839992, 680590, 769988, 847201, 883454, 950610,
971123, 881984, 926572, 1033680, 946155, 1061730, 914466, 911570,
1164950, 1004990, 718593, 793194, 842956, 726834, 712759, 624518,
703623, 761612, 770525, 824593, 690104, 845703, 936471, 1014680,
862431, 850164, 921617, 879187, 872448, 865340, 738589, 949724,
879489, 689916, 794223, 842577, 953132, 844694, 839997, 1120020,
1092560, 1015590, 733215, 857769, 704839, 707401, 713392, 725933,
727196, 829468, 811733, 923905, 938933, 730039, 792424, 792258,
758315, 749123, 717560, 766000, 711065, 787285, 820087, 936104,
879308, 872192, 868006, 936002, 957043, 794762, 717460, 737899,
830461, 887358, 787180, 996925, 928426, 926479, 712902, 781298,
790822, 899962, 811563, 917871, 901474, 1090090, 1082660, 796204,
922000, 703417, 831812, 740317, 747848, 817859, 725724, 712620,
733525, 559636, 569860, 747847, 698800, 852716, 744605, 731574,
876708, 881353, 990302, 1191850, 1007330, 721977, 910391, 977966,
1071800, 891842, 888096, 826245, 729866, 703034, 772185, 722166,
953156, 897867, 843717, 935047, 861718, 1098710, 881916, 1028340,
952309, 946274, 887214, 770968, 754632, 735493, 716608, 717313,
917941, 673220, 812603, 919228, 940217, 807406, 800622, 871441,
864291, 738275, 741816, 971485, 805274, 845483, 723604, 997817,
919849, 920972, 818822, 715085, 815164, 884211, 891091, 871686,
792614, 759380, 699921, 729376, 876731, 977085, 1030800, 815698,
770077, 897247, 763039, 659917, 746273, 600947, 715112, 791334,
831246, 944991, 784552, 1138740, 971282, 1115590, 1071680, 1097910,
974006, 813976, 761241, 618176, 608565, 622280, 845735, 815467,
817445, 791439, 687816, 575799, 641169, 744292, 882704, 801141,
841703, 870919, 977608, 772541, 998283, 1088430, 895100, 720821,
632784, 681415, 661282, 799091, 860620, 790388, 691307, 725057,
754697, 925146, 998775, 1070460, 944702, 1084900, 994284, 800318,
807517, 725555, 813793, 664586, 562646, 655022, 653722, 687243,
881851, 847911, 744526, 814625, 865130, 873665, 874329, 937756,
898620, 980249, 981073, 844202, 943631, 852720, 770604, 723956,
958209, 988953, 851518, 835229, 760897, 639822, 721595, 808630,
572038, 629505, 653686, 730647, 825464, 750768, 733389, 816941,
756667, 740326, 834148, 865615, 931374, 875944, 892271, 906864,
900351, 762924, 860058, 841157, 924014, 716006, 728218, 562215,
679860, 760713, 735440, 784499, 751324, 771314, 700993, 777426,
797636, 895070, 714920, 969683, 1099100, 987348, 1072160, 1021380,
892780, 829697, 816045, 701982, 748634, 825264, 828789, 958881,
811372, 681962, 806382, 717597, 826967, 916395, 717539, 797555,
845743, 1080840, 969518, 1051250, 1059020, 926889, 847629, 761243,
648625, 939251, 942182, 979093, 1000040, 871032, 854755, 849588,
1027300, 789214, 841076, 736291, 707398, 605431, 658497, 864601,
961224, 969436, 975266, 798048, 748129, 905071, 1106990, 947019,
976633, 1020310, 970924, 1075130, 1091480, 1053150, 1039080,
1017140, 872805, 933198, 913844, 802390, 837741, 838267, 894524,
992619, 1037510, 1040730, 1126810, 1004680, 1088710, 1062820,
698068, 1012820, 892961, 730741, 938432, 861623, 702853, 834818,
846179, 768941, 731845, 907656, 889873, 964698, 894820, 904775,
936480, 969602, 887619, 904923, 1000510, 801491, 774608, 734584,
813982, 669709, 733112, 726621, 755560, 783363, 744058, 700534,
795153, 753557, 859790, 841268, 779742, 830949, 835378, 923705,
967968, 1072970, 1129370, 1022390, 923277, 832137, 966997, 907535,
887813, 608820, 647387, 734632, 898920, 941689, 906584, 781265,
731292, 655332, 727357, 937819, 745733, 638298, 745518, 638593,
570378), `2004` = c(982954, 1030410, 945345, 883340, 815420,
950912, 1048640, 1106960, 1020430, 915167, 1185480, 776861, 686200,
900075, 1156550, 1211250, 1235270, 1308680, 1091400, 1092880,
934403, 910453, 854863, 908811, 1089350, 971157, 1015540, 995791,
1201870, 1063440, 1037230, 1036740, 874106, 789015, 847601, 962420,
988853, 1214560, 979397, 1242790, 1006750, 1068790, 1039990,
1235070, 1015640, 1002980, 827254, 1257750, 1281560, 1368030,
1305720, 841664, 892138, 1079340, 1059600, 1031950, 1122230,
1142690, 1082160, 1044950, 1114660, 1397300, 1548860, 1502610,
1374900, 1501290, 1215260, 1015410, 1122290, 1247480, 1135050,
1070200, 1187660, 1033720, 1027120, 992901, 1082910, 1069010,
1307100, 1177300, 899135, 756270, 965335, 970199, 1247470, 1055370,
1076770, 1249680, 1326880, 1249830, 1142050, 1042740, 1075770,
942411, 1052090, 1071460, 1139240, 1135550, 1293630, 967645,
918695, 683369, 859271, 1089860, 1231010, 994998, 992679, 1329500,
998197, 1016690, 1047850, 973571, 1148640, 876213, 1056550, 1070410,
1071920, 969846, 974824, 1036150, 885358, 968190, 864939, 790779,
879957, 822923, 820649, 874072, 942763, 918455, 879584, 840565,
949173, 986249, 916336, 1031540, 1018230, 843580, 998107, 964497,
772947, 917653, 896816, 1040500, 1016400, 992925, 1136050, 1063070,
1040150, 1212680, 1377830, 1193270, 1173270, 1086200, 1030150,
936954, 1114570, 1096170, 913307, 919267, 766242, 961385, 1147760,
1335980, 1260500, 1341770, 1169720, 1113130, 1347850, 1124700,
1047840, 1029490, 984930, 1442560, 1209780, 1315130, 1000890,
1068440, 921540, 917198, 883453, 957406, 1264740, 1249240, 932970,
768536, 948591, 803759, 647436, 749795, 754846, 940680, 1044840,
1242780, 1287730, 1014620, 1212890, 1175940, 1113080, 978739,
859178, 911346, 747560, 772921, 564603, 1011580, 1169170, 1137180,
945130, 1284100, 1298090, 846282, 985590, 800543, 830257, 859164,
714313, 943031, 1009460, 969128, 704117, 604057, 634500, 795118,
805268, 805274, 826143, 889371, 1018980, 1109710, 1012030, 1016360,
883797, 762940, 982854, 1042060, 997167, 847635, 813366, 1142950,
951251, 864659, 1144790, 974081, 1317610, 983971, 1052360, 1145860,
1110970, 1136540, 1028220, 1031190, 991243, 938418, 1170980,
1067840, 1015470, 959374, 873748, 977242, 981937, 1048690, 903341,
755959, 1132750, 918885, 895027, 776917, 924631, 1069610, 1164530,
1042350, 981596, 849704, 841111, 1031040, 1223530, 1146220, 890733,
1259960, 897508, 880818, 1285510, 1362340, 1270780, 1125720,
836768, 1101300, 1051770, 1152020, 960334, 1204090, 995765, 1050480,
1146090, 1125890, 1399300, 989196, 1368870, 884415, 1074930,
1165890, 992029, 1093880, 1177280, 908292, 935595, 855231, 916787,
989137, 796496, 1229480, 1004590, 1127850, 983426, 752035, 959682,
1056480, 1169430, 1127330, 1049550, 1285090, 1251000, 850488,
1236290, 1298760, 1053140, 1121220, 1025230, 922898, 1123510,
1107360, 1406390, 1409580, 1171600, 940461, 1197880, 1034040,
806606, 907931, 873778, 1008220, 1084920, 1052430, 1052810, 1193950,
1007850, 979106, 881346, 846510, 736853, 726095, 863628, 808739,
1031630, 1142840, 1091500, 920519, 1116760, 1116500, 959042,
930704, 889723, 903114, 1184750, 790785, 920439, 812455, 882778,
869695, 1035550, 994477, 971893, 822054, 749960, 863210, 823991,
816526, 808687, 882617, 920306, 1154930, 1198960, 1230720, 1277240,
950546, 1027860, 1331930, 1375370, 1141020, 1095740, 1020760,
1033670, 1135650, 1108660, 958672, 1091240, 969571, 800748, 819646,
718686, 751188, 615998, 847801, 749639, 1013240, 1127120, 1174510,
1261540, 1105740, 1138800, 1037610, 1176610, 1368960, 1193060,
1265930, 1235560, 1140360, 1311440, 1210990, 1175510, 1286300,
1120160, 1198020, 1326940, 1388490, 1255480, 1420810, 1234760,
1296560, 1352270, 1640140, 1607230, 1685430, 1605190, 1482550,
1261310, 1089990, 919707, 838840, 1035210, 1031270, 956662, 1037940,
874323, 665536, 678474, 779357, 1284160, 858469, 773831, 870274,
991527, 1146450, 992508, 994289, 958947, 1180280, 866000, 1072890,
901094, 1017620, 1011410, 1031570, 987548, 900746, 912107, 1251270,
1548610, 1073100, 978581, 920210, 1053650, 985319, 978501, 972429,
1013020, 919807, 969426, 1153860, 1270220, 1302290, 1267610,
1275150, 1334500, 1077380, 1436390, 1166930, 1164430, 921655,
896756, 847804, 855450, 692525, 684045, 830849, 822243, 953019,
1050640, 1129360, 913185, 862211, 1020700, 1032310, 813972, 1018980,
996459, 1172710, 1069040, 978167, 962806, 1040600, 837835, 814630,
929298, 1069370, 1301970, 1433410, 1321220, 1148680, 1098180,
1001270, 1109510, 949802, 870323, 952365, 915395, 1032390, 880957,
839604, 1089850, 1277990, 844490, 838846, 965203, 1320480, 1215950,
1165780, 994217, 1211210, 1121770, 1102500, 1087560, 1188810,
995785, 1169650, 912026, 987610, 1074550, 1164790, 1214740, 1069180,
1118660, 1064600, 877158, 945843, 849512, 835025, 1009920, 1095940,
891171, 947721, 1118750, 1001450, 778245, 915371, 971983, 1008930,
1071050, 1135620, 1067140, 1058500, 1256390, 1101160, 1347220,
1162040, 1164990, 1516830, 1377740, 851699, 906450, 981247, 838337,
801441, 765552, 761628, 895147, 865464, 1010270, 841125, 994697,
1108350, 1198400, 968698, 957678, 1032580, 1028580, 1032680,
965873, 816887, 1093170, 1157240, 883088, 973221, 1071910, 1124440,
1081890, 987408, 1427620, 1394510, 1151770, 827958, 961614, 748358,
741103, 733948, 751894, 736372, 841368, 881167, 1037610, 1171350,
816672, 912796, 973698, 894474, 923593, 832337, 932114, 851827,
1006550, 1072430, 1179680, 1058270, 1055390, 987877, 1109270,
1037570, 809922, 669599, 701047, 904249, 999014, 947253, 1255360,
1335930, 1285220, 941794, 932481, 1061300, 1129420, 998365, 1140920,
1113980, 1377340, 1349140, 938992, 1113610, 860037, 1152980,
842904, 940322, 1080720, 884948, 987667, 976896, 642549, 626774,
834668, 843386, 1065010, 997171, 984327, 1068970, 1127570, 1227980,
1407700, 1111030, 828908, 1046770, 1138420, 1306140, 1092890,
1054660, 914450, 798881, 788880, 916335, 896775, 1374180, 1210040,
1146360, 1185460, 1244310, 1536860, 1163160, 1472220, 1163430,
1243000, 1060290, 937230, 975129, 846677, 902430, 929218, 1133680,
801699, 928525, 1179450, 1162760, 1025010, 945353, 1029420, 988925,
823699, 827220, 1128230, 936605, 1061540, 847693, 1186480, 1117510,
1238580, 1034820, 870584, 1078190, 1187300, 1248200, 1215230,
1085610, 1092490, 965655, 1030590, 1155820, 1152440, 1227170,
1015450, 1046920, 1136490, 959604, 845834, 863775, 732245, 884576,
1030510, 1187930, 1248880, 843915, 1250810, 1035600, 1236080,
1203610, 1219740, 1081440, 823383, 749100, 593402, 588186, 725276,
979573, 861486, 853287, 802877, 659977, 583105, 675312, 786155,
874125, 791193, 877856, 996056, 1100610, 1146880, 1197540, 1409180,
970810, 778178, 755270, 829616, 778376, 955594, 987176, 882866,
865776, 942895, 981138, 1225040, 1304600, 1350010, 1272990, 1457100,
1325000, 1052730, 999523, 891657, 1023660, 825388, 633376, 777991,
778983, 789108, 1156730, 963477, 973788, 1118730, 1088820, 1076020,
1048680, 1081930, 1284870, 1217490, 1210260, 1001860, 1076930,
952727, 947384, 933441, 1216520, 1261230, 1086750, 1071490, 1011140,
765992, 857648, 1008600, 644641, 689399, 812972, 960579, 936480,
825159, 897287, 1057340, 895756, 996269, 1066320, 1006500, 1010770,
970877, 1072870, 1148210, 1061920, 959948, 1071110, 1102430,
1104000, 831942, 888267, 678462, 796131, 907386, 848117, 853005,
785479, 810807, 788394, 890768, 947021, 1137020, 920128, 1182610,
1363920, 1287350, 1402380, 1310020, 1182520, 1070240, 1028760,
834951, 918950, 1174630, 1113350, 1275670, 994954, 844526, 918331,
922936, 1124200, 1228050, 946189, 1110350, 1191090, 1487770,
1157940, 1194790, 1128510, 994774, 1003970, 893808, 735889, 1096560,
1187460, 1214370, 1313070, 1042130, 985526, 1115640, 1285390,
1013310, 1207230, 930732, 910053, 812902, 806465, 1131400, 1214210,
1127630, 1095900, 957499, 856311, 1030060, 1379280, 1163940,
1145780, 1223180, 1168260, 1293390, 1332080, 1252580, 1166750,
1150060, 1139750, 1229430, 1072550, 898387, 907333, 989568, 1007850,
1168720, 1259510, 1201220, 1308470, 1055100, 1322150, 1301580,
876344, 1235650, 987977, 754952, 1016820, 1056850, 726202, 866931,
956681, 796340, 815614, 1028440, 1081730, 1156340, 994788, 969870,
995836, 1110170, 1066620, 1311720, 1415130, 1018360, 1008920,
849404, 1057590, 753689, 786446, 800641, 901216, 948170, 946784,
877748, 919810, 851719, 945417, 902246, 795640, 914250, 953319,
1035490, 1273450, 1348110, 1502470, 1268180, 1142770, 913955,
1124930, 1058490, 1091100, 756456, 754481, 889761, 1187390, 1192880,
1034400, 864863, 774912, 740920, 907234, 1178500, 937603, 719179,
808083, 702599, 658780)), .Names = c("1971", "1972", "1973",
"1974", "1975", "1976", "1977", "1978", "1979", "1980", "1981",
"1982", "1983", "1984", "1985", "1986", "1987", "1988", "1989",
"1990", "1991", "1992", "1993", "1994", "1995", "1996", "1997",
"1998", "1999", "2000", "2001", "2002", "2003", "2004"), class = "data.frame", row.names = c(NA,
-1000L)) |
scrape.sportaffinity.main = function(url, name="SportAffinity", basedir=".", url.date.format="%B %d, %Y", date.format="%Y-%m-%d", U12=2001, append=FALSE, add.to.base.url="tour/public/info/", ..., U.designation="Under ", name.delimiter="Under ", name.skip=3){
require(XML)
require(RCurl)
require(httr)
if(!is.character(basedir) | length(basedir)!=1 )
stop("basedir must be a character vector.\n",call.=FALSE)
if(!is.logical(append) | length(append)!=1)
stop("append must be a TRUE/FALSE.\n",call.=FALSE)
orig.append=append
getthelink3=function(node){
hrefs=c()
href="none"
tmp=xmlChildren(node)$div
if(!is.null(tmp)){
tmp=xmlChildren(tmp)$table
if(!is.null(tmp)){
trs = which(names(xmlChildren(tmp))=="tr")
tmp1=tmp
for(i in trs){
tmp=xmlChildren(tmp1)[[i]]
tds = which(names(xmlChildren(tmp))=="td")
if(length(tds)!=0){
if(!is.null(xmlChildren(tmp[[tds[3]]])$b)){
if(!is.null(xmlChildren(xmlChildren(tmp[[tds[3]]])$b)$a)){
val=xmlValue(tmp[[tds[1]]])
href=xmlAttrs(xmlChildren(xmlChildren(tmp[[tds[3]]])$b)$a)
hrefs=c(hrefs,href,val)
}
}}
}
}
}
hrefs
}
tmp1=str_locate(url, "://")[2]
tmp2=str_locate_all(url, "/")[[1]][,2]
baseurl=str_sub(url,1,min(tmp2[tmp2>tmp1]))
baseurl=paste(baseurl,add.to.base.url,sep="")
used.genderages = c()
cat("Scraping ages. This takes awhile....\n")
tmp=readHTMLTable(url, elFun=getthelink3, which=8, as.data.frame=FALSE)
for(i in 1:length(tmp)){
tmp[[i]]=tmp[[i]][!is.na(tmp[[i]]) & !(tmp[[i]]=="NULL")]
}
tmp=unlist(tmp)
div.names=tmp[seq(2,length(tmp),2)]
div.links=tmp[seq(1,length(tmp),2)]
for(i in 1:length(div.names)){
div.name = div.names[i]
gender=str_sub(div.name,1,1)
if(str_detect(div.name, "HS") | str_detect(div.name, "High School")){
ulevel=18
}else{
ulevel=str_sub(div.name,str_locate(div.name,U.designation)[2]+1,str_locate(div.name,U.designation)[2]+2)
ulevel=as.numeric(ulevel)
}
age= U12 - (ulevel-12)
age= str_sub(as.character(age),3,4)
genderage=paste(gender,age,sep="")
div.name = str_remove(div.name, 1, str_locate(div.name,name.delimiter)[2]+name.skip)
the.dir = paste(basedir, "/", genderage,sep="")
if(!file.exists(the.dir)) dir.create(the.dir)
file=paste(basedir,"/",genderage,"/",name,".csv",sep="")
div.link = paste(baseurl,div.links[i],sep="")
venue=str_strip.white(paste(name," ",genderage," ",div.name,sep=""))
cat(paste("Scraping",venue,"\n"))
if(genderage %in% used.genderages) append=TRUE else append=orig.append
tmp=try(scrape.sportaffinity(div.link, file=file, url.date.format=url.date.format, date.format=date.format, append=append, venue=venue, ...))
if(class(tmp)=="try-error"){
cat("There was an error scraping ", div.link, "\n")
browser()
}
used.genderages = c(used.genderages, genderage)
}
} |
if ( !isGeneric("calcTOAIrradModel") ) {
setGeneric("calcTOAIrradModel", function(x, ...)
standardGeneric("calcTOAIrradModel"))
}
NULL
setMethod("calcTOAIrradModel",
signature(x = "Satellite"),
function(x, model = "MNewKur", normalize = TRUE, esd){
if(normalize == FALSE & missing(esd)){
esd <- getSatESD(x)
if(is.na(esd)){
doy <- getSatDATE(x)
esd <- calcEarthSunDist(doy)
}
}
rsr <- lutInfoRSRromSID(sid = getSatSID(x))
if(normalize == TRUE){
esun <- calcTOAIrradModel(x = rsr, model = model,
normalize = normalize)
} else {
esun <- calcTOAIrradModel(x = rsr, model = model,
normalize = normalize, esd = esd)
}
bcde <- names(esun)
x <- addSatMetaParam(x,
meta_param = data.frame(
BCDE = bcde,
ESUN = as.numeric(esun)))
return(x)
})
setMethod("calcTOAIrradModel",
signature(x = "data.frame"),
function(x, model = "MNewKur", normalize = TRUE, esd){
toa <- lut$SOLAR
toa$WAVELENGTH <- round(toa$WAVELENGTH, 0)
toa_aggregated <- aggregate(toa, by = list(toa$WAVELENGTH),
FUN = "mean")
rsr <- x[, c(grep("BCDE", colnames(x)),
grep("WAVELENGTH", colnames(x)),
grep("RSR", colnames(x)))]
eSun <- lapply(unique(rsr$BCDE), function(y){
rsr_solar <- merge(rsr[rsr$BCDE == y,], toa_aggregated,
by = "WAVELENGTH")
if(nrow(rsr_solar) > 0){
act_eSun <- aggregate(
rsr_solar$RSR * rsr_solar[,grep(model, names(rsr_solar))],
by = list(rsr_solar$BCDE),
FUN = "sum")[2] / aggregate(rsr_solar$RSR,
by = list(rsr_solar$BCDE),
FUN = "sum")[2] * 1000
act_eSun <- unlist(act_eSun)
} else {
act_eSun <- c(NA)
}
names(act_eSun) <- paste0(y)
return(act_eSun)
})
eSun <- unlist(eSun)
if(normalize == FALSE){
if(missing(esd)){
stop("Variable esd is missing.")
}
eSun <- eSun / esd**2
}
return(eSun)
}) |
data(TeenDeaths)
barchart(deaths ~ cause, TeenDeaths, scales=list(x=list(rot=45)))
barchart(deaths ~ cause, TeenDeaths, scales=list(x=list(rot=45)))
table(cut(DesertBirds$count, seq(0,650,by=50)))
histogram(~count, DesertBirds,n=12)
densityplot(~count, DesertBirds)
histogram(~mass, SockeyeFemales, breaks=seq(1,4,by=0.1))
histogram(~mass, SockeyeFemales, breaks=seq(1,4,by=0.3))
histogram(~mass, SockeyeFemales, breaks=seq(1,4,by=0.5))
plots <- list()
for (b in c(0.1, 0.3, 0.5)) {
p <- histogram(~mass, data=SockeyeFemales,
breaks = seq(1,4,by=b),
type='count',
xlab = "Body mass (kg)"
)
plots <- c(plots,list(p))
}
for (i in 1:3) {
print(plots[[i]], split=c(i,1,3,1), more=(i<3))
} |
library(testthat)
library(Seurat)
test_check("Seurat") |
getShiftNodesFromIndex <- function(ephy, index) {
if (index > length(ephy$eventData)) {
cat("Error. Attempting to access non-existent element from 'bammdata' object\n");
cat("You have << ", length(ephy$eventData), " >>> samples in your 'bammdata' object\n");
cat("Value of index must be no greater than the number of samples\n\n");
stop();
}
root <- length(ephy$tip.label) + 1;
nodes <- ephy$eventData[[index]]$node;
nodes <- nodes[nodes != root];
return(nodes);
} |
.dynLibs <- local({
.Dyn.libs <- structure(list(), class = "DLLInfoList")
function(new) {
if(!missing(new)) {
class(new) <- "DLLInfoList"
.Dyn.libs <<- new
}
else
.Dyn.libs
}
})
.libPaths <- local({
.lib.loc <- character()
function(new) {
if(!missing(new)) {
new <- Sys.glob(path.expand(new))
paths <- c(new, .Library.site, .Library)
paths <- paths[dir.exists(paths)]
.lib.loc <<- unique(normalizePath(paths, "/"))
}
else
.lib.loc
}
}) |
refPlausible <- function(refDf=NULL, units="days", RELEVANTVN_REF) {
if(!is.data.frame(refDf)) {
stop("Argument 'refDf' must be of class data.frame.")
}
if(!is.character(units)) {
stop("Argument 'units' must be of class character.")
}
if(!any(c("auto", "secs", "mins", "hours", "days", "weeks") %in% units)) {
stop("Argument 'units' received an invalid value, please select exactly one of the following options: 'auto', 'secs', 'mins', 'hours', 'days', 'weeks'. For details enter '?difftime' in the R console.")
}
SETUPLISTCheck(RELEVANTINFO_ES=NULL,
RELEVANTVN_ES=NULL,
RELEVANTVN_REF=RELEVANTVN_REF)
if(any(duplicated(refDf[,RELEVANTVN_REF[["REF_ID"]]]))) {
whichDupl <- which(duplicated(refDf[,RELEVANTVN_REF[["REF_ID"]]]))
duplCatch <- c()
for(k in 1:length(whichDupl)) {
duplCatch <- c(duplCatch, which(refDf[,RELEVANTVN_REF[["REF_ID"]]] == refDf[whichDupl[k],RELEVANTVN_REF[["REF_ID"]]]))
}
dupl <- rep(0, times=nrow(refDf))
dupl[duplCatch] <- 1
cat("- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -\n")
cat("- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -\n")
cat(paste0("Duplicates in reference dataset. See column ", RELEVANTVN_REF[["REF_ID"]], ":\n"))
cat("- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -\n")
print(refDf[duplCatch,])
cat("- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -\n")
cat("- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -\n\n")
stop("There are duplicated participant IDs in the reference dataset (see printed relevant part in the R console). This must be changed before proceeding!")
}
timeDiffUnit <- base::difftime(refDf[,RELEVANTVN_REF[["REF_END_DATETIME"]]],
refDf[,RELEVANTVN_REF[["REF_START_DATETIME"]]],
units=units)
refDf[,paste0("ESM_PERIOD", toupper(units))] <- as.numeric(timeDiffUnit)
if(!is.null(refDf[,RELEVANTVN_REF[["REF_ST"]]]) && length(refDf[,RELEVANTVN_REF[["REF_ST"]]]) > 1) {
startTimeInPromptsColNames <- c(RELEVANTVN_REF[["REF_START_TIME"]], RELEVANTVN_REF[["REF_ST"]])
startTimeInPromptsBool <- apply(refDf[,startTimeInPromptsColNames],
MARGIN=1, function(x) {
any(as.character(x[2:length(startTimeInPromptsColNames)]) %in% as.character(x[1]))
})
endTimeInPromptsColNames <- c(RELEVANTVN_REF[["REF_END_TIME"]], RELEVANTVN_REF[["REF_ST"]])
endTimeInPromptsBool <- apply(refDf[,endTimeInPromptsColNames],
MARGIN=1, function(x) {
any(as.character(x[2:length(endTimeInPromptsColNames)]) %in% as.character(x[1]))
})
if(any(!(startTimeInPromptsBool & endTimeInPromptsBool))) {
print(refDf[!(startTimeInPromptsBool & endTimeInPromptsBool),])
stop(paste0("At least one entry in one of the two colums ", RELEVANTVN_REF[["REF_START_TIME"]], " or ", RELEVANTVN_REF[["REF_END_TIME"]], " is NOT among the respective participant's prompts, although it must be. See R console."))
}
idTimeAnomaly <- promptSwitchDate <- c()
refDfInternal <- refDf
columnsHMS <- as.character(RELEVANTVN_REF[["REF_ST"]])
for(i in columnsHMS) {
refDfInternal[,i] <- as.numeric(lubridate::hms(refDfInternal[,i]))
}
for(j in 1:nrow(refDf)) {
jDiffTemp0 <- base::diff(as.numeric(refDfInternal[j,RELEVANTVN_REF[["REF_ST"]]]))
jDiffTemp <- jDiffTemp0[c(1,1:length(jDiffTemp0))]
if(any(jDiffTemp <= 0)) {
idTimeAnomaly <- c(idTimeAnomaly, 1)
promptSwitchDate <- c(promptSwitchDate, which((jDiffTemp <= 0) == TRUE))
message(paste0("Is there an anomaly in the prospective time sequence in row ", j, " of the reference dataset? See column ", RELEVANTVN_REF[["REF_ID"]], " participant ", refDf[j,RELEVANTVN_REF[["REF_ID"]]], ".\nMaybe this is not an anomaly but instead signaling the necessity to set the argument 'midnightPrompt' to 'TRUE' in the function 'esAssign'.\n"))
} else {
idTimeAnomaly <- c(idTimeAnomaly, 0)
promptSwitchDate <- c(promptSwitchDate, 0)
}
}
if(!all(idTimeAnomaly == 0)) {
refDf[,"TIME_ANOMALY"] <- idTimeAnomaly
refDf[,"PROMPT_NEXTDAY"] <- promptSwitchDate
}
}
return(refDf)
} |
favstats(score ~ type, data = TasteTest)
gf_point(score ~ type, data = TasteTest)
taste.lm <- lm(score ~ type, data = TasteTest)
anova(taste.lm)
taste.cint <- confint(glht(taste.lm, mcp(type = "Tukey"))); taste.cint
plot(taste.cint) |
Soap.model1 <- lm(weight ~ day, data = Soap)
msummary(Soap.model1) |
test_that("empty dataset gives empty layout", {
i0 = iris[c(),]
expect_warning(umap(i0), "small")
result = suppressWarnings(umap(i0))
expect_equal(sort(names(result)), c("config", "layout"))
})
test_that("single-item dataset", {
i1 = iris[1,1:3]
rownames(i1) = "A"
expect_warning(umap(i1), "small")
result = suppressWarnings(umap(i1))
expect_equal(sort(names(result)), c("config", "layout"))
expected = matrix(0, ncol=2, nrow=1)
rownames(expected)="A"
expect_equal(result$layout, expected)
})
test_that("two-item dataset", {
i2 = iris[1:2,1:3]
rownames(i2) = c("A", "B")
expect_warning(umap(i2), "small")
result = suppressWarnings(umap(i2))
expect_equal(sort(names(result)), c("config", "layout"))
expect_equal(dim(result$layout), c(2,2))
expect_gt(sum(abs(result$layout[1,]-result$layout[2,])), 0)
}) |
path.abbrev <- function(path, dir = fs::path_wd()) {
fs::as_fs_path(stringr::str_replace(path, dir, "~"))
} |
test_that("single numerical constants are properly identified ", {
is_implicit <- lintr:::is_implicit_integer
x <- c("Inf", "NaN", "TRUE", "FALSE", "NA", "NA_character")
y <- c(FALSE, FALSE, FALSE, FALSE, FALSE, FALSE)
expect_equal(is_implicit(x), y)
x <- c("2.000", "2.", "2L", "2.0", "2.1", "2")
y <- c(FALSE, FALSE, FALSE, FALSE, FALSE, TRUE)
expect_equal(is_implicit(x), y)
x <- c("1e3", "1e3L", "1.0e3L", "1.2e3", "1.2e-3", "1e-3", "1e-33", "1.2e0")
y <- c(TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE)
expect_equal(is_implicit(x), y)
x <- c("0x1p+0", "0x1.ecp+6L", "0x1.ecp+6", "0x1.ec66666666666p+6")
y <- c(FALSE, FALSE, FALSE, FALSE)
expect_equal(is_implicit(x), y)
x <- c("8i", "8.0i")
y <- c(FALSE, FALSE)
expect_equal(is_implicit(x), y)
max <- .Machine[["integer.max"]]
x <- as.character(c(-max - 1.0, -max, max, max + 1.0))
y <- c(FALSE, TRUE, TRUE, FALSE)
expect_equal(is_implicit(x), y)
})
test_that("linter returns the correct linting", {
msg <- "Integers should not be implicit. Use the form 1L for integers or 1.0 for doubles."
linter <- implicit_integer_linter()
expect_is(linter, "linter")
expect_lint("x <<- 1L", NULL, linter)
expect_lint("1.0/-Inf -> y", NULL, linter)
expect_lint("y <- 1+i", list(message = msg, line_number = 1L, column_number = 7L), linter)
expect_lint("z <- 1e5", list(message = msg, line_number = 1L, column_number = 9L), linter)
expect_lint("cat(1:n)", list(message = msg, line_number = 1L, column_number = 6L), linter)
expect_lint("552^9",
list(
list(message = msg, line_number = 1L, column_number = 4L),
list(message = msg, line_number = 1L, column_number = 6L)
),
linter)
}) |
condSmacof_matrix <- function (d, V, u.dim, W = NULL, it.max = 1000, gamma = 1e-03,
U.start = NULL, B.start = NULL)
{
p <- u.dim
q <- dim(V)[2]
N <- nrow(as.matrix(d))
if (p > (N - 1 - q))
stop("Max u.dim is N-1-vdim!")
tV <- t(V)
one_n_t <- t(rep(1,N))
if (is.null(W)) {
W <- matrix(1, N, N)
W[is.na(as.matrix(d))] <- 0
}
w <- as.dist(W)
H <- diag(rowSums(W)) - W
G <- tV %*% H %*% V
Gp <- ginv(G)
GptV <- Gp %*% tV
if (is.null(U.start))
U.start <- matrix(runif(N * p, min = -1), ncol = p)
U <- U.start
if (is.null(B.start))
B <- diag(rep(1,q))
V.tilda <- V %*% B
eta.d <- sum(w*d^2)
dz <- condDist(U, V.tilda, one_n_t)
sigma <- rep(0, it.max)
sigma[1] <- eta.d +
sum(diag(t(U)%*%H%*%U)) + sum(diag(t(V.tilda) %*% H %*% V.tilda)) -
2*sum(w*d*dz)
if (is.null(W)) {
for (iter in 2:it.max) {
cz <- -w*d/dz
cz[which(cz == Inf)] <- 0
cz <- as.matrix(cz)
cz_diag <- -rowSums(cz)
cz <- cz + diag(cz_diag)
U <- cz %*% U / N
B <- GptV %*% cz %*% V.tilda
V.tilda <- V %*% B
dz <- condDist(U, V.tilda, one_n_t)
sigma[iter] <- eta.d +
sum(diag(t(U)%*%H%*%U)) + sum(diag(t(V.tilda) %*% H %*% V.tilda)) -
2*sum(w*d*dz)
if (sigma[iter - 1] - sigma[iter] < gamma)
break()
}
} else {
Hp <- solve(H + 1) - N^(-2)
for (iter in 2:it.max) {
cz <- -w*d/dz
cz[which(cz == Inf)] <- 0
cz <- as.matrix(cz)
cz_diag <- -rowSums(cz)
cz <- cz + diag(cz_diag)
U <- Hp %*% cz %*% U
B <- GptV %*% cz %*% V.tilda
V.tilda <- V %*% B
dz <- condDist(U, V.tilda, one_n_t)
sigma[iter] <- eta.d +
sum(diag(t(U)%*%H%*%U)) + sum(diag(t(V.tilda) %*% H %*% V.tilda)) -
2*sum(w*d*dz)
if (sigma[iter - 1] - sigma[iter] < gamma)
break()
}
}
if (iter == it.max) {
warning("Max iteration reached!")
} else {
sigma <- sigma[1:iter]
}
list(U = U, B = B, sigma = sigma, U.start = U.start, B.start = B.start)
} |
GetElements <- function(data, elements){
col_num <- match(elements[1], colnames(data))
num_elem <- length(elements)
elems <- as.character(elements[2:num_elem])
temp_data <- data[data[ ,col_num] %in% elems, ]
return(temp_data)
}
QuerieElemAtt <- function(q, data, start_col, exp, names, att_x, att_y, palette){
rows <- data.frame()
if(length(q) == 0){
return(NULL)
}
for(i in 1:length(q)){
index_q <- unlist(q[[i]]$params)
elem_color <- unlist(q[[i]]$color)
test <- as.character(index_q[1])
check <- match(test, names)
if(length(check) != 0){
if(is.na(att_y[i]) == F){
elems <- GetElements(data, index_q)
end_col <- ((start_col + as.integer(length(names))) - 1)
elems <- elems[which(rowSums(elems[ ,start_col:end_col]) != 0), ]
if(is.null(exp) == F){
elems <- Subset_att(elems, exp)
}
if(nrow(elems) != 0){
elems$color <- elem_color
}
else{
elems <- NULL
}
}
else if(is.na(att_y[i]) == T){
elems <- GetElements(data, index_q)
end_col <- ((start_col + as.integer(length(names))) - 1)
elems <- elems[which(rowSums(elems[ ,start_col:end_col]) != 0), ]
if(is.null(exp) == F){
elems <- Subset_att(elems, exp)
}
if(nrow(elems) != 0){
elems$color <- elem_color
}
else{
elems <- NULL
}
}
}
else{
elems <- NULL
}
elems <- elems[ ,-which(names(elems) %in% names)]
rows <- rbind(rows, elems)
}
rows <- as.data.frame(rows)
if(length(rows) == 0){
return(NULL)
}
else{
return(rows)
}
}
ElemBarDat <- function(q, data1, first_col, exp, names, palette, mbdata){
data1 <- data.frame(data1, check.names = F)
bar <- count(data1)
bar$x <- 1:nrow(bar)
rows <- data.frame()
act <- c()
if(length(q) == 0){
return(NULL)
}
for(i in 1:length(q)){
index_q <- unlist(q[[i]]$params)
test <- as.character(index_q[1])
check <- match(test, names)
elem_color <- q[[i]]$color
if(is.na(check) != T){
elem_data <- NULL
}
else{
elem_data <- data1[which(as.character(data1[ ,test]) %in% c(index_q[2:length(index_q)])), ]
if(!is.null(exp)){
elem_data <- Subset_att(elem_data, exp)
}
elem_data <- as.data.frame(count(elem_data[names]))
names(elem_data) <- c(names, "freq")
elem_data <- elem_data[which(rowSums(elem_data[names]) != 0), ]
x <- merge(mbdata, elem_data[names], by = names)
elem_data <- merge(x[names], elem_data, by = names)
x <- x$x
elem_data$x <- x
if((isTRUE(q[[i]]$active) == T) && (is.null(elem_data) == F)){
act <- T
}
else if((isTRUE(q[[i]]$active) == F || is.null(q[[i]]$active) == T) && (is.null(elem_data) == F)){
act <- F
}
elem_data$color <- elem_color
elem_data$act <- act
}
rows <- rbind(rows, elem_data)
}
return(rows)
} |
cat("\014")
rm(list = ls())
setwd("~/git/of_dollars_and_data")
source(file.path(paste0(getwd(),"/header.R")))
library(ggplot2)
library(reshape2)
library(scales)
library(grid)
library(gridExtra)
library(gtable)
library(RColorBrewer)
library(stringr)
library(ggrepel)
library(lubridate)
library(tidyr)
library(dplyr)
folder_name <- "0037_bond_returns"
out_path <- paste0(exportdir, folder_name)
dir.create(file.path(paste0(out_path)), showWarnings = FALSE)
hist_bond_stock <- readRDS(paste0(localdir, "0021_historical_returns_sp500_bond_damodaran.Rds"))
cpi <- readRDS(paste0(localdir, "0021_FRED_cpi.Rds"))
hist_bond_stock <-hist_bond_stock %>%
left_join(cpi, by = c("Date" = "year")) %>%
mutate(ret_sp500 = ret_sp500 - rate_cpi,
ret_10yr_bond = ret_10yr_bond - rate_cpi,
decade = Date %/% 10 * 10) %>%
select(Date, decade, ret_10yr_bond, ret_sp500)
min_year <- min(hist_bond_stock$Date)
max_year <- max(hist_bond_stock$Date)
avg_ret <- mean(hist_bond_stock$ret_10yr_bond)
file_path = paste0(exportdir, "0037_bond_returns/bond-returns.jpeg")
to_plot <- hist_bond_stock
plot <- ggplot(data = to_plot, aes(x = Date, y = ret_10yr_bond)) +
geom_bar(stat = "identity", fill = "blue") +
ggtitle(paste0("U.S. 10 Year Bonds Averaged ", round(avg_ret,2)*100, "% Real Returns\n", min_year, " - ", max_year)) +
scale_y_continuous(labels = percent) +
of_dollars_and_data_theme +
labs(x = "Year" , y = "Annual Real Return (%)")
source_string <- paste0("Source: http://www.stern.nyu.edu/~adamodar/pc/datasets/histretSP.xls (OfDollarsAndData.com)")
note_string <- paste0("Note: Adjusts for inflation using FRED CPI data.")
my_gtable <- ggplot_gtable(ggplot_build(plot))
source_grob <- textGrob(source_string, x = (unit(0.5, "strwidth", source_string) + unit(0.2, "inches")), y = unit(0.1, "inches"),
gp =gpar(fontfamily = "my_font", fontsize = 8))
note_grob <- textGrob(note_string, x = (unit(0.5, "strwidth", note_string) + unit(0.2, "inches")), y = unit(0.15, "inches"),
gp =gpar(fontfamily = "my_font", fontsize = 8))
my_gtable <- arrangeGrob(my_gtable, bottom = source_grob)
my_gtable <- arrangeGrob(my_gtable, bottom = note_grob)
ggsave(file_path, my_gtable, width = 15, height = 12, units = "cm")
file_path = paste0(exportdir, "0037_bond_returns/bond-stock-by-decade.jpeg")
to_plot <- hist_bond_stock %>%
select(decade, ret_10yr_bond) %>%
group_by(decade) %>%
summarise(count = n(),
`U.S. 10-Year Bond` = prod(1 + ret_10yr_bond)^(1/count) - 1) %>%
select(-count) %>%
gather(key=key, value=value, -decade)
plot <- ggplot(data = to_plot, aes(x = decade, y = value)) +
geom_bar(stat = "identity", position = "dodge", fill = "blue") +
ggtitle(paste0("Bonds Have Had Multiple Decades\nwith Negative Annualized Real Returns")) +
scale_fill_discrete(guide = FALSE) +
scale_color_discrete(guide = FALSE) +
scale_y_continuous(labels = percent) +
scale_x_continuous(breaks = seq(min(to_plot$decade), max(to_plot$decade), 10)) +
of_dollars_and_data_theme +
labs(x = "Decade" , y = "Annualized Real Return (%)")
source_string <- paste0("Source: http://www.stern.nyu.edu/~adamodar/pc/datasets/histretSP.xls (OfDollarsAndData.com)")
note_string <- paste0("Note: Adjusts for inflation using FRED CPI data.")
my_gtable <- ggplot_gtable(ggplot_build(plot))
source_grob <- textGrob(source_string, x = (unit(0.5, "strwidth", source_string) + unit(0.2, "inches")), y = unit(0.1, "inches"),
gp =gpar(fontfamily = "my_font", fontsize = 8))
note_grob <- textGrob(note_string, x = (unit(0.5, "strwidth", note_string) + unit(0.2, "inches")), y = unit(0.15, "inches"),
gp =gpar(fontfamily = "my_font", fontsize = 8))
my_gtable <- arrangeGrob(my_gtable, bottom = source_grob)
my_gtable <- arrangeGrob(my_gtable, bottom = note_grob)
ggsave(file_path, my_gtable, width = 15, height = 12, units = "cm")
|
context("traveltimes")
test_all <- (identical (Sys.getenv ("MPADGE_LOCAL"), "true") |
identical (Sys.getenv ("GITHUB_WORKFLOW"), "test-coverage"))
berlin_gtfs_to_zip ()
f <- file.path (tempdir (), "vbb.zip")
g <- extract_gtfs (f, quiet = TRUE)
g2 <- gtfs_timetable (g, day = 3, quiet = TRUE)
test_that("gtfs_traveltimes", {
from <- "Alexanderplatz"
start_times <- c (12, 13) * 3600
res <- gtfs_traveltimes (g2, from, start_times)
expect_is (res, "data.frame")
expect_equal (ncol (res), 7)
expect_true (nrow (res) > 100)
expect_true (nrow (res) < nrow (g2$stops))
expect_identical (names (res), c ("start_time",
"duration",
"ntransfers",
"stop_id",
"stop_name",
"stop_lon",
"stop_lat"))
})
test_that ("traveltime errors", {
from <- "Alexanderplatz"
start_times <- NULL
expect_error (gtfs_traveltimes (g2, from, start_times),
"start_time_limits must have exactly two entries")
start_times <- 1:3
expect_error (gtfs_traveltimes (g2, from, start_times),
"start_time_limits must have exactly two entries")
start_times <- c ("a", "b")
expect_error (gtfs_traveltimes (g2, from, start_times),
"start_time_limits must be a vector of 2 integer")
start_times <- 2:1
expect_error (gtfs_traveltimes (g2, from, start_times),
"start_time_limits must be \\(min, max\\) values")
start_time_limits <- c (43212, 49212)
expect_error (gtfs_traveltimes (g2, from, start_times,
max_traveltime = -1),
"max_traveltime must be a single number greater than 0")
g2$transfers <- NULL
expect_error (gtfs_traveltimes (g2, from, start_times),
"gtfs must have a transfers table")
}) |
context("glmnet")
skip_if_not_installed("modeltests")
library(modeltests)
skip_if_not_installed("glmnet")
library(glmnet)
set.seed(27)
x <- matrix(rnorm(100 * 20), 100, 20)
y <- rnorm(100)
g <- sample(1:4, 100, replace = TRUE)
fit <- glmnet(x, y)
fit2 <- glmnet(x, g, family = "multinomial")
cv_fit <- cv.glmnet(x, y)
cv_fit2 <- cv.glmnet(x, g, family = "multinomial")
test_that("glmnet tidier arguments", {
check_arguments(tidy.glmnet)
check_arguments(glance.glmnet)
check_arguments(tidy.cv.glmnet)
check_arguments(glance.cv.glmnet)
})
test_that("tidy.glmnet", {
td <- tidy(fit)
tdz <- tidy(fit, return_zeros = TRUE)
check_tidy_output(td)
check_tidy_output(tdz)
check_dims(td, expected_cols = 5)
check_dims(tdz, expected_cols = 5)
expect_true(all(td$estimate != 0))
expect_true(any(tdz$estimate == 0))
td2 <- tidy(fit2)
td2z <- tidy(fit2, return_zeros = TRUE)
check_tidy_output(td2)
check_tidy_output(td2z)
expect_true(all(td2$estimate != 0))
expect_true(any(td2z$estimate == 0))
expect_true(is.numeric(td$step) && !any(is.na(td$step)))
expect_true(is.numeric(td2$step) && !any(is.na(td2$step)))
})
test_that("glance.glmnet", {
gl <- glance(fit)
gl2 <- glance(fit2)
check_glance_outputs(gl, gl2)
})
test_that("tidy.cv.glmnet", {
td <- tidy(cv_fit)
check_tidy_output(td)
check_dims(td, expected_cols = 6)
td2 <- tidy(cv_fit2)
check_tidy_output(td2)
check_dims(td2, expected_cols = 6)
})
test_that("glance.cv.glmnet", {
gl <- glance(cv_fit)
gl2 <- glance(cv_fit2)
check_glance_outputs(gl, gl2)
}) |
testthat::test_that("inappropriate input not flagged with error",{
x <- gsDesign()
expect_error(sequentialPValue(gsD=5))
expect_error(sequentialPValue(gsD=x,n.I=1:5,Z=1:5))
expect_error(sequentialPValue(gsD=x,n.I=3:1,Z=3:1))
expect_error(sequentialPValue(gsD=gsDesign(test.type=2)))
expect_error(sequentialPValue(gsD=gsDesign(test.type=3)))
expect_error(sequentialPValue(gsD=gsDesign(test.type=5)))
expect_error(sequentialPValue(gsD=x,n.I="bad"))
expect_error(sequentialPValue(gsD=x,n.I=c(.1,.1),Z=c(.4,1.5)))
expect_error(sequentialPValue(gsD=x,n.I=1,Z="bad"))
expect_error(sequentialPValue(gsD=x,n.I=1,Z=2,usTime="bad"))
expect_error(sequentialPValue(gsD=x,n.I=1,Z=2,interval=c(0,.999)))
expect_error(sequentialPValue(gsD=x,n.I=1,Z=2,interval=c(0.01,1)))
expect_error(sequentialPValue(gsD=x,n.I=1,Z=2,interval=c(0,.5,.999)))
expect_error(sequentialPValue(gsD=x,n.I=(1:3)/3,Z=3:1,usTime=1:3))
}) |
model_parameters.t1way <- function(model, keep = NULL, verbose = TRUE, ...) {
parameters <- .extract_wrs2_t1way(model)
parameters <- .add_htest_parameters_attributes(parameters, model, ...)
class(parameters) <- c("parameters_model", "see_parameters_model", class(parameters))
parameters
}
.extract_wrs2_t1way <- function(model) {
fcall <- .safe_deparse(model$call)
if (grepl("^(t1way|WRS2::t1way)", fcall)) {
data.frame(
"F" = model$test,
"df" = model$df1,
"df_error" = model$df2,
"p" = model$p.value,
"Method" = "A heteroscedastic one-way ANOVA for trimmed means",
"Estimate" = model$effsize,
"CI" = 1 - model$alpha,
"CI_low" = model$effsize_ci[1],
"CI_high" = model$effsize_ci[2],
"Effectsize" = "Explanatory measure of effect size",
stringsAsFactors = FALSE
)
} else if (grepl("^(rmanova|WRS2::rmanova)", fcall)) {
data.frame(
"F" = model$test,
"df" = model$df1,
"df_error" = model$df2,
"p" = model$p.value,
"Method" = "A heteroscedastic one-way repeated measures ANOVA for trimmed means",
stringsAsFactors = FALSE
)
}
}
model_parameters.med1way <- function(model, verbose = TRUE, ...) {
parameters <- .extract_wrs2_med1way(model)
parameters <- .add_htest_parameters_attributes(parameters, model, ...)
class(parameters) <- c("parameters_model", "see_parameters_model", class(parameters))
parameters
}
.extract_wrs2_med1way <- function(model) {
data.frame(
"F" = model$test,
"Critical value" = model$crit.val,
"p" = model$p.value,
"Method" = "Heteroscedastic one-way ANOVA for medians",
stringsAsFactors = FALSE
)
}
model_parameters.dep.effect <- function(model,
keep = NULL,
verbose = TRUE,
...) {
parameters <- .extract_wrs2_dep.effect(model, keep = keep)
class(parameters) <- c("parameters_model", "see_parameters_model", class(parameters))
parameters
}
.extract_wrs2_dep.effect <- function(model, keep = NULL, ...) {
out <- as.data.frame(model)
out$Parameter <- c(attributes(out)$row.names)
out$Effectsize <- c(
"Algina-Keselman-Penfield robust standardized difference",
"Quantile shift based on the median of the distribution of difference scores",
"Quantile shift based on the trimmed mean of the distribution of X-Y",
"P(X<Y), Probability of first being less than second for a random pair"
)
names(out) <- c(
"Mu", "Estimate", "Small", "Medium", "Large",
"CI_low", "CI_high", "Parameter", "Effectsize"
)
out$CI <- 0.95
col_order <- c(
"Parameter", "Estimate", "CI", "CI_low", "CI_high", "Effectsize",
"Mu", "Small", "Medium", "Large"
)
out <- out[col_order[col_order %in% names(out)]]
rownames(out) <- NULL
if (!is.null(keep)) {
out <- out[out$Parameter == keep, ]
}
out
}
model_parameters.yuen <- function(model, verbose = TRUE, ...) {
parameters <- .extract_wrs2_yuen(model)
parameters <- .add_htest_parameters_attributes(parameters, model, ...)
class(parameters) <- c("parameters_model", "see_parameters_model", class(parameters))
parameters
}
.extract_wrs2_yuen <- function(model) {
fcall <- .safe_deparse(model$call)
if (grepl("^(yuen\\(|WRS2::yuen\\()", fcall) ||
grepl("function (formula, data, tr = 0.2, ...)", fcall, fixed = TRUE)) {
out <- data.frame(
"t" = model$test,
"df_error" = model$df,
"p" = model$p.value,
"Method" = "Yuen's test on trimmed means for independent samples",
"Difference" = model$diff,
"CI" = 0.95,
"Difference_CI_low" = model$conf.int[1],
"Difference_CI_high" = model$conf.int[2],
"Estimate" = model$effsize,
"Effectsize" = "Explanatory measure of effect size",
stringsAsFactors = FALSE
)
} else {
out <- data.frame(
"t" = model$test,
"df_error" = model$df,
"p" = model$p.value,
"Method" = "Yuen's test on trimmed means for dependent samples",
"Difference" = model$diff,
"CI" = 0.95,
"Difference_CI_low" = model$conf.int[1],
"Difference_CI_high" = model$conf.int[2],
"Estimate" = model$effsize,
"Effectsize" = "Explanatory measure of effect size",
stringsAsFactors = FALSE
)
}
out
}
model_parameters.mcp1 <- function(model, verbose = TRUE, ...) {
parameters <- .extract_wrs2_mcp12(model)
parameters <- .add_htest_parameters_attributes(parameters, model, ...)
class(parameters) <- c("parameters_model", "see_parameters_model", class(parameters))
parameters
}
model_parameters.mcp2 <- model_parameters.mcp1
.extract_wrs2_mcp12 <- function(model) {
out <- as.data.frame(model$comp)
names(out)[1:6] <- c("Group1", "Group2", "Psihat", "CI_low", "CI_high", "p")
out$Group1 <- model$fnames[model$comp[, 1]]
out$Group2 <- model$fnames[model$comp[, 2]]
out$CI <- 1 - model$alpha
col_order <- c("Group1", "Group2", "Psihat", "CI", "CI_low", "CI_high", "p", "p.crit")
out <- out[col_order[col_order %in% names(out)]]
out
}
model_parameters.robtab <- function(model, verbose = TRUE, ...) {
parameters <- .extract_wrs2_robtab(model)
parameters <- .add_htest_parameters_attributes(parameters, model, ...)
class(parameters) <- c("parameters_model", "see_parameters_model", class(parameters))
parameters
}
.extract_wrs2_robtab <- function(model) {
fcall <- .safe_deparse(model$call)
out <- as.data.frame(model$partable)
if (grepl("^(discmcp\\(|WRS2::discmcp\\()", fcall)) {
names(out)[1:3] <- c("Group1", "Group2", "p")
}
if (grepl("^(discstep\\(|WRS2::discstep\\()", fcall)) {
names(out)[1:2] <- c("Groups", "p")
}
if (grepl("^(binband\\(|WRS2::binband\\()", fcall)) {
names(out)[1:4] <- c("Value", "Probability1", "Probability2", "Difference")
if ("p.value" %in% names(out)) {
out$p <- out$p.value
out$p.value <- NULL
}
}
out
}
model_parameters.onesampb <- function(model, verbose = TRUE, ...) {
parameters <- .extract_wrs2_onesampb(model)
parameters <- .add_htest_parameters_attributes(parameters, model, ...)
class(parameters) <- c("parameters_model", "see_parameters_model", class(parameters))
parameters
}
.extract_wrs2_onesampb <- function(model) {
data.frame(
"Estimate" = model$estimate,
"CI" = 1 - model$alpha,
"CI_low" = model$ci[1],
"CI_high" = model$ci[2],
"p" = model$p.value,
"n_Obs" = model$n,
"Effectsize" = "Robust location measure",
"Method" = "One-sample percentile bootstrap",
stringsAsFactors = FALSE
)
}
model_parameters.trimcibt <- function(model, verbose = TRUE, ...) {
parameters <- .extract_wrs2_trimcibt(model)
parameters <- .add_htest_parameters_attributes(parameters, model, ...)
class(parameters) <- c("parameters_model", "see_parameters_model", class(parameters))
parameters
}
.extract_wrs2_trimcibt <- function(model) {
data.frame(
"t" = model$test.stat,
"p" = model$p.value,
"n_Obs" = model$n,
"Method" = "Bootstrap-t method for one-sample test",
"Estimate" = model$estimate[[1]],
"CI" = 1 - model$alpha,
"CI_low" = model$ci[1],
"CI_high" = model$ci[2],
"Effectsize" = "Trimmed mean",
stringsAsFactors = FALSE
)
}
model_parameters.AKP <- function(model, verbose = TRUE, ...) {
parameters <- .extract_wrs2_AKP(model)
parameters <- .add_htest_parameters_attributes(parameters, model, ...)
class(parameters) <- c("parameters_model", "see_parameters_model", class(parameters))
parameters
}
.extract_wrs2_AKP <- function(model) {
data.frame(
"Estimate" = model$AKPeffect,
"CI" = 1 - model$alpha,
"CI_low" = model$AKPci[1],
"CI_high" = model$AKPci[2],
"Effectsize" = "Algina-Keselman-Penfield robust standardized difference",
stringsAsFactors = FALSE
)
}
model_parameters.wmcpAKP <- function(model, verbose = TRUE, ...) {
parameters <- .extract_wrs2_wmcpAKP(model)
class(parameters) <- c("parameters_model", "see_parameters_model", class(parameters))
parameters
}
.extract_wrs2_wmcpAKP <- function(model) {
data.frame(
"Estimate" = model[[1]],
"CI" = 0.95,
"CI_low" = model[[2]],
"CI_high" = model[[3]],
"Effectsize" = "Algina-Keselman-Penfield robust standardized difference average",
stringsAsFactors = FALSE
)
} |
bayessurvreg2.priorBeta <- function(prior.beta, init, design)
{
if (design$nX){
if(length(init) == 0) ininit <- "arnost"
else ininit <- names(init)
tmp <- match("beta", ininit, nomatch=NA)
if(is.na(tmp)){
init.beta <- rep(0, design$nX)
}
else{
if (length(init$beta) < design$nX) stop("Incorrect init$beta parameter supplied.")
init.beta <- init$beta[1:design$nX]
}
if (sum(is.na(init.beta))) stop("Incorrect init$beta parameter supplied.")
if(length(prior.beta) == 0) inprior <- "arnost"
else inprior <- names(prior.beta)
tmp <- match("mean.prior", inprior, nomatch=NA)
if(is.na(tmp)) stop("Prior means for betas must be specified.")
tmp <- match("var.prior", inprior, nomatch=NA)
if(is.na(tmp)) stop("Prior vars for betas must be specified.")
if (length(prior.beta$mean.prior) != design$nX) stop("Incorrect length of a vector of prior means for betas.")
if (length(prior.beta$var.prior) != design$nX) stop("Incorrect length of a vector of prior vars for betas.")
if (sum(is.na(prior.beta$mean.prior))) stop("Prior means for betas must not be missing.")
if (sum(is.na(prior.beta$var.prior))) stop("Prior vars for betas must not be missing.")
if (sum(prior.beta$var.prior <= 0)) stop("Prior vars for betas must be all positive.")
mean.prior <- prior.beta$mean.prior
var.prior <- prior.beta$var.prior
ngamma <- design$nrandom - 1*(design$randomInt)
nFixed <- design$nX - ngamma
parmI <- c(design$nX, nFixed, ngamma, 1*design$randomInt, design$indb)
parmD <- c(init.beta, mean.prior, var.prior)
names(parmI) <- c("nbeta", "nFixed", "ngamma", "randomIntcpt", paste("indbA", 1:design$nX, sep=""))
names(parmD) <- c(paste("beta", 1:design$nX, sep=""), paste("mean.beta", 1:design$nX, sep=""), paste("var.beta", 1:design$nX, sep=""))
}
else{
if (!is.null(design$randomInt)){
init.beta <- numeric(0)
mean.prior <- numeric(0)
var.prior <- numeric(0)
if (is.null(design$indb)) parmI <- c(0, 0, 0, 1*design$randomInt, 0)
else parmI <- c(0, 0, 0, 1*design$randomInt, design$indb)
parmD <- c(0, 0, 0)
names(parmI) <- c("nbeta", "nFixed", "ngamma", "randomIntcpt", "indbA")
names(parmD) <- c("beta", "mean.beta", "var.beta")
}
else{
init.beta <- numeric(0)
mean.prior <- numeric(0)
var.prior <- numeric(0)
parmI <- c(0, 0, 0, 0, 0)
parmD <- c(0, 0, 0)
names(parmI) <- c("nbeta", "nFixed", "ngamma", "randomIntcpt", "indbA")
names(parmD) <- c("beta", "mean.beta", "var.beta")
}
}
toreturn <- list(parmI=parmI, parmD=parmD)
attr(toreturn, "init") <- init.beta
attr(toreturn, "prior.beta") <- list(mean.prior=mean.prior, var.prior=var.prior)
return(toreturn)
} |
SDMXCrossSectionalData <- function(xmlObj, namespaces){
new("SDMXCrossSectionalData",
SDMXData(xmlObj, namespaces)
)
}
as.data.frame.SDMXCrossSectionalData <- function(x, row.names=NULL, optional=FALSE,
labels = FALSE, ...){
xmlObj <- x@xmlObj;
dataset <- NULL
schema <- slot(x,"schema")
sdmxVersion <- slot(schema,"version")
hasAuthorityNS <- FALSE
nsDefs.df <- getNamespaces(x)
ns <- findNamespace(nsDefs.df, "crosssection")
authorityNs <- nsDefs.df[
regexpr("http://www.sdmx.org", nsDefs.df$uri,
"match.length", ignore.case = TRUE) == -1,]
authorityNs <- as.data.frame(authorityNs, stringsAsFactors = FALSE)
colnames(authorityNs) <- "uri"
if(nrow(authorityNs) > 0){
hasAuthorityNS <- TRUE
if(nrow(authorityNs) > 1){
warning("More than one target dataset namespace found!")
authorityNs <- authorityNs[1L,]
authorityNs <- as.data.frame(authorityNs, stringsAsFactors = FALSE)
colnames(authorityNs) <- "uri"
}
}
if(hasAuthorityNS){
groupsXML <- getNodeSet(xmlObj, "//ns:Group", namespaces = c(ns = authorityNs$uri))
if(length(groupsXML) == 0){
groupsXML <- getNodeSet(xmlObj, "//ns:Group", namespaces = ns)
}
}else{
if(length(ns) > 0){
groupsXML <- getNodeSet(xmlObj, "//ns:Group", namespaces = ns)
}else{
if(nrow(nsDefs.df) > 0){
groupNs <- nsDefs.df[1,]
groupsXML <- getNodeSet(xmlObj, "//nt:Group", c(nt = groupNs$uri))
}else{
stop("Unsupported CrossSectionalData parser for empty target XML namespace")
}
}
}
if(length(groupsXML) == 0){
groupsXML <- getNodeSet(xmlObj, "//Group")
}
groupsNb <- length(groupsXML)
if(groupsNb == 0) return(NULL);
parseSection <- function(x){
sectionAttrs <- xmlAttrs(x)
sectionAttrs <- as.data.frame(t(sectionAttrs), stringsAsFactors = FALSE)
sectionChildren <- xmlChildren(x)
secObs <- names(sectionChildren)
secValues <- do.call("rbind.fill", lapply(sectionChildren, function(x) {
attrs <- xmlAttrs(x)
return(as.data.frame(t(attrs), stringsAsFactors = FALSE))
}))
secContent <- data.frame(sectionAttrs,
obs = secObs,
secValues,
stringsAsFactors = FALSE)
return(secContent)
}
parseGroup <- function(x){
groupAttrs <- xmlAttrs(x)
groupAttrs <- as.data.frame(t(groupAttrs), stringsAsFactors = FALSE)
x <- xmlDoc(x)
if(hasAuthorityNS){
secXML <- getNodeSet(x, "//ns:Section", namespaces = c(ns = authorityNs$uri))
if(length(secXML) == 0){
secXML <- getNodeSet(x, "//ns:Section", namespaces = ns)
}
}else{
if(length(ns) > 0){
secXML <- getNodeSet(x, "//ns:Section", namespaces = ns)
}else{
if(nrow(nsDefs.df) > 0){
secNs <- nsDefs.df[1,]
secXML <- getNodeSet(x, "//nt:Section", c(nt = secNs$uri))
}else{
stop("Unsupported CrossSectionalData parser for empty target XML namespace")
}
}
}
if(length(secXML) == 0){
secXML <- getNodeSet(xmlObj, "//Section")
}
secNb <- length(secXML)
if(secNb == 0) return(NULL);
sections <- do.call("rbind.fill", lapply(secXML, parseSection))
group <- data.frame(groupAttrs, sections)
return(group)
}
dataset <- do.call("rbind.fill", lapply(groupsXML, parseGroup))
if(any(as.character(dataset$obsValue) == "NaN", na.rm = TRUE)){
dataset[as.character(dataset$obsValue) == "NaN",]$obsValue <- NA
}
if(!is.null(dataset)) base::row.names(dataset) <- 1:nrow(dataset)
if(labels){
dsd <- slot(x, "dsd")
if(!is.null(dsd)) dataset <- addLabels.SDMXData(dataset, dsd)
}
return(encodeSDMXOutput(dataset))
} |
library(SuperGauss)
if(!identical(Sys.getenv("NOT_CRAN"), "true")) {
set.seed(1)
}
test_fbm_acf <- function(alpha, dT, N) {
msd <- fbm_msd(dT*(1:N), alpha/2)
msd2acf(msd)
}
test_exp_acf <- function(lambda, order, N) {
pex_acf(0:(N-1)/N, rho = order, lambda = 1/lambda^(1/order))
}
test_matern_acf <- function(lambda, nu, N) {
matern_acf(0:(N-1), lambda, nu)
}
test_acf_func <- function(N, type, first0 = FALSE) {
lambda <- 1 / runif(1, 1, 3)
alpha <- runif(1, .2, .9)
nu <- 3
dT <- runif(1, .1, .9)
type <- match.arg(type,
choices = c("exp", "exp2", "fbm", "matern", "zero", "rnd"))
if(type == "exp2") {
acf <- test_exp_acf(lambda, 2, N)
} else if(type == "exp") {
acf <- test_exp_acf(lambda, 1, N)
} else if(type == "fbm") {
acf <- test_fbm_acf(alpha, dT, N)
} else if(type == "matern") {
acf <- test_matern_acf(lambda, nu, N)
} else if(type == "zero") {
acf <- rep(0, N)
} else {
acf <- rnorm(N)
}
if(first0) acf[1] <- 0
acf
}
test_fbm_acf_grad <- function(alpha, dT, N) {
if(N == 1) {
dacf <- dT^alpha * log(alpha)
} else {
dacf <- c(0, (dT*(1:N))^alpha * log(dT*(1:N)))
dacf <- .5 * (dacf[1:N+1] + c(dacf[2], dacf[1:(N-1)]) - 2*dacf[1:N])
}
dacf
}
test_fbm_acf_hess <- function(alpha, dT, N) {
if(N == 1) {
d2acf <- dT^alpha * log(alpha)^2
} else {
d2acf <- c(0, (dT*(1:N))^alpha * log(dT*(1:N))^2)
d2acf <- .5 * (d2acf[1:N+1] + c(d2acf[2], d2acf[1:(N-1)]) - 2*d2acf[1:N])
}
d2acf
}
test_drift_func <- function(mu, N){
rep(mu^2, N)
}
test_drift_grad <- function(mu, N){
rep(2 * mu, N)
}
test_drift_hess <- function(mu, N){
rep(2, N)
}
toep_ldens <- function(z, gamma) {
mvtnorm::dmvnorm(x = z, sigma = toeplitz(gamma), log = TRUE)
}
fft <- function(x) {
eV <- is.vector(x)
x <- as.matrix(x)
if(nrow(x) == 1) {
y <- x + 0i
} else {
y <- apply(as.matrix(x), 2, fftw::FFT)
}
if(eV) y <- drop(y)
y
}
ifft <- function(x) {
eV <- is.vector(x)
x <- as.matrix(x)
if(nrow(x) == 1) {
y <- x + 0i
} else {
y <- apply(as.matrix(x), 2, fftw::FFT, inverse = TRUE)
}
y <- Re(y)/nrow(y)
if(eV) y <- drop(y)
y
}
unfold_acf <- function(N, uacf) {
n <- length(uacf)
if(n != floor(N/2) + 1) stop("uacf has wrong length.")
acf <- rep(NA, N)
acf[1:n] <- uacf
if(N > 1) {
eN <- (2*n) == (N+2)
id <- n - eN + (2:n-1)
acf[n - eN + (2:n-1)] <- uacf[n:2]
}
acf
}
circulant <- function(x) {
N <- length(x)
t(sapply(1:N-1, function(ii) x[(1:N-1 - ii) %% N + 1]))
}
circ_ldens <- function(z, nu) {
N <- if(is.matrix(z)) ncol(z) else length(z)
mvtnorm::dmvnorm(z, log = TRUE,
sigma = toeplitz(unfold_acf(N, nu)))
} |
setMethod("$", "Raster", function(x, name) { x[[name]] } )
setMethod("$<-", "Raster",
function(x, name, value) {
i <- which(name == names(x))[1]
if (is.na(i)) {
if (inherits(value, 'Raster')) {
names(value) <- name
x <- addLayer(x, value)
return(x)
} else {
r <- raster(x)
names(r) <- name
r[] <- value
x <- addLayer(x, r)
return(x)
}
} else {
if (inherits(value, 'Raster')) {
if (inherits(x, 'RasterLayer')) {
if (name == names(x)) {
x <- value
} else {
x <- stack(x)
x[[name]] <- value
}
} else {
x[[name]] <- value
}
} else {
r <- x[[name]]
r[] <- value
x[[name]] <- value
}
return(x)
}
}
)
setMethod("[[", "Raster",
function(x,i,j,...,drop=TRUE) {
if ( missing(i)) {
stop('you must provide an index')
}
if (! missing(j)) {
warning('second index is ignored')
}
if (is.numeric(i)) {
sgn <- sign(i)
sgn[sgn==0] <- 1
if (! all(sgn == 1) ) {
if (! all(sgn == -1) ) {
stop("only 0's may be mixed with negative subscripts")
} else {
i <- (1:nlayers(x))[i]
}
}
}
subset(x, i, drop=drop)
})
setReplaceMethod("[[", c("RasterStackBrick", "character", "missing"),
function(x, i, j, value) {
if (inherits(value, 'Raster')) {
names(value) <- i
}
n <- which(i == names(x))[1]
if (is.na(n)) {
n <- nlayers(x) + 1
}
x[[n]] <- value
x
}
)
setReplaceMethod("[[", c("RasterLayer", "character", "missing"),
function(x, i, j, value) {
stopifnot(length(i) == 1)
if (i[1] != names(x)) {
x <- stack(x)
x[[i]] <- value
return(x)
}
if (inherits(value, 'RasterLayer')) {
names(value) <- i
return(value)
} else if (inherits(value, 'Raster')) {
if (nlayers(value) == 1) {
value <- value[[1]]
names(value) <- i
return(value)
} else {
stop("too many layers")
}
}
setValues(x, value)
}
)
setReplaceMethod("[[", c("RasterStack", "numeric", "missing"),
function(x, i, j, value) {
i <- round(i)
if (i < 1) {
stop('index should be > 0')
}
nl <- nlayers(x)
if (i > nl + 1) {
stop('index should be <= nlayers(x)+1')
}
if (!inherits(value, 'RasterLayer')) {
val <- value
if (i > nl) {
value <- x[[nl]]
} else {
value <- x[[i]]
}
value[] <- val
} else {
compareRaster(x, value)
}
if (i > nl) {
x <- addLayer(x, value)
} else {
x@layers[[i]] <- value
}
x
}
)
setReplaceMethod("[[", c("Raster", "numeric", "missing"),
function(x, i, j, value) {
i <- round(i)
if (i < 1) {
stop('index should be > 0')
}
nl <- nlayers(x)
if (i > nl + 1) {
stop('index should be <= nlayers(x)+1')
}
if (inherits(x, "RasterLayer")) {
return(value)
}
if (canProcessInMemory(x)) {
if (!inMemory(x)) {
x <- readAll(x)
}
if (inherits(value, 'RasterLayer')) {
compareRaster(x, value)
x <- setValues(x, getValues(value), i)
names(x)[i] <- names(value)
} else {
val <- value
if (i > nl) {
value <- getValues(x[[nl]])
} else {
value <- getValues(x[[i]])
}
value[] <- val
x <- setValues(x, value, i)
}
} else {
x <- stack(x)
x[[i]] <- value
}
return(x)
}
)
setReplaceMethod("[", c("RasterStackBrick", "Raster", "missing"),
function(x, i, j, value) {
nl <- nlayers(i)
if (! hasValues(i) ) {
i <- cellsFromExtent(x, i)
} else if (compareRaster(x, i, stopiffalse=FALSE, showwarning=FALSE)) {
dims <- dim(i)
i <- as.logical(getValues(i))
dim(i) <- c(prod(dims[1:2]), dims[3])
} else {
i <- cellsFromExtent(x, i)
}
if (nl < nlayers(x)) {
.replace(x, i, value=value, recycle=nl)
} else {
.replace(x, i, value=value, recycle=0)
}
}
)
setReplaceMethod("[", c("Raster", "Extent", "missing"),
function(x, i, j, value) {
i <- cellsFromExtent(x, i)
.replace(x, i, value=value, recycle=1)
}
)
setReplaceMethod("[", c("Raster", "Spatial", "missing"),
function(x, i, j, value) {
if (inherits(i, 'SpatialPolygons')) {
v <- 1:length(i@polygons)
v[] <- value
return( .polygonsToRaster(i, x, field=v, fun='last', mask=FALSE, update=TRUE, updateValue="all", silent=TRUE) )
} else if (inherits(i, 'SpatialLines')) {
v <- 1:length(i@lines)
v[] <- value
return( .linesToRaster(i, x, field=v, fun='last', mask=FALSE, update=TRUE, updateValue="all", silent=TRUE) )
} else {
i <- cellFromXY(x, sp::coordinates(i)[,1:2,drop=FALSE])
return( .replace(x, i, value=value, recycle=1) )
}
}
)
setReplaceMethod("[", c("RasterStackBrick","missing","missing"),
function(x, i, j, value) {
nl <- nlayers(x)
if (inherits(x, 'RasterStack')) {
x <- brick(x, values=FALSE)
}
if (is.matrix(value)) {
if (all(dim(value) == c(ncell(x), nl))) {
x <- try( setValues(x, value))
} else {
stop('dimensions of the matrix do not match the Raster* object')
}
} else {
v <- try( matrix(nrow=ncell(x), ncol=nl) )
if (! inherits(x, "try-error")) {
v[] <- value
x <- try( setValues(x, v) )
}
}
if (inherits(x, "try-error")) {
stop('cannot set values on this raster (it is too large)')
}
return(x)
}
)
setReplaceMethod("[", c("Raster", "numeric", "numeric"),
function(x, i, j, value) {
i <- cellFromRowColCombine(x, i, j)
.replace(x, i, value, recycle=1)
}
)
setReplaceMethod("[", c("Raster","missing", "numeric"),
function(x, i, j, value) {
j <- cellFromCol(x, j)
.replace(x, j, value=value, recycle=1)
}
)
setReplaceMethod("[", c("Raster","numeric", "missing"),
function(x, i, j, value) {
theCall <- sys.call(-1)
narg <- length(theCall)-length(match.call(call=sys.call(-1)))
if (narg > 0) {
i <- cellFromRow(x, i)
}
.replace(x, i=i, value=value, recycle=1)
}
)
setReplaceMethod("[", c("Raster", "matrix", "missing"),
function(x, i, j, value) {
if (ncol(i) == 2) {
i <- cellFromRowCol(x, i[,1], i[,2])
} else {
i <- as.vector(i)
}
.replace(x, i=i, value=value, recycle=1)
}
)
setReplaceMethod("[", c("Raster", "logical", "missing"),
function(x, i, j, value) {
.replace(x, i, value, recycle=1)
}
) |
expect_redactor <- function(expr) {
expect_identical(names(formals(expr)), "response")
}
test_that("prepare_redactor: function", {
expect_identical(prepare_redactor(redact_cookies), redact_cookies)
})
multiredact <- list(redact_cookies, ~ redact_headers(., "X-Header"))
test_that("prepare_redactor: list/multiple", {
expect_redactor(prepare_redactor(multiredact))
expect_identical(prepare_redactor(multiredact[1]), redact_cookies)
})
test_that("prepare_redactor: NULL for no redacting", {
expect_identical(prepare_redactor(NULL), force)
})
test_that("prepare_redactor: garbage", {
expect_error(
prepare_redactor("foo"),
"Redactor must be a function or list of functions"
)
})
test_that("get_current_redactor edge cases", {
options(httptest.redactor = NULL)
expect_identical(get_current_redactor(), redact_auth)
options(httptest.redactor.packages = "NOTAPACKAGE")
expect_identical(get_current_redactor(), redact_auth)
})
with_mock_api({
test_that("Reading redactors from within a package (and install that package)", {
newmocks <- tempfile()
testthat_transition(
expect_message(
capture_while_mocking(path = newmocks, {
lib <- install_testpkg("testpkg")
library(testpkg, lib.loc = lib)
expect_true("testpkg" %in% names(sessionInfo()$otherPkgs))
r <- GET("http://example.com/get")
}),
paste0("Using redact.R from ", dQuote("testpkg"))
),
expect_message(
expect_message(
capture_while_mocking(path = newmocks, {
lib <- install_testpkg("testpkg")
library(testpkg, lib.loc = lib)
expect_true("testpkg" %in% names(sessionInfo()$otherPkgs))
r <- GET("http://example.com/get")
}),
paste0("Using redact.R from ", dQuote("testpkg"))
),
paste0("Using request.R from ", dQuote("testpkg"))
)
)
with_mock_path(newmocks, {
r2 <- GET("http://example.com/get")
})
expect_identical(content(r2), list(fake = TRUE))
})
test_that("Request preprocessing via package inst/httptest/request.R", {
expect_identical(
content(GET("http://pythong.org/api/object1/")),
content(GET("api/object1/"))
)
})
test_that("set_redactor(NULL) to override default (and loaded packages)", {
expect_true("testpkg" %in% names(sessionInfo()$otherPkgs))
on.exit(detach("package:testpkg", unload = TRUE))
newmocks2 <- tempfile()
with_redactor(
NULL,
capture_while_mocking(simplify = FALSE, path = newmocks2, {
a <- POST("http://example.com/login",
body = list(username = "password"), encode = "json"
)
})
)
expect_true(any(grepl(
"token=12345",
readLines(file.path(newmocks2, "example.com", "login-712027-POST.R"))
)))
})
test_that("Loading a package with pkgload (devtools)", {
newmocks3 <- tempfile()
expect_false("testpkg" %in% names(sessionInfo()$otherPkgs))
on.exit(pkgload::unload("testpkg"))
expect_message(
capture_while_mocking(path = newmocks3, {
pkgload::load_all("testpkg", quiet = TRUE)
expect_true("testpkg" %in% names(sessionInfo()$otherPkgs))
r <- GET("http://example.com/get")
}),
paste0("Using redact.R from ", dQuote("testpkg"))
)
with_mock_path(newmocks3, {
r2 <- GET("http://example.com/get")
})
expect_identical(content(r2), list(fake = TRUE))
})
})
reset_redactors() |
context("data from gh release")
test <- function(class = c("sf", "sp"), ...) {
class <- match.arg(class)
get_big_data("test", class, ...)
}
test_that("get_big_data works with specific release", {
skip_on_cran()
skip_on_actions()
expect_equal(get_big_data("test", "sf", "0.1.1", force = TRUE, ask = FALSE), "test")
expect_equal(test(release = "0.1.1", force = TRUE, ask = FALSE), "test")
test_gh_assid_file <- file.path(data_dir(), "test.gh_asset_id")
expect_true(file.exists(test_gh_assid_file))
expect_equal(readChar(test_gh_assid_file, nchars = 10), "5416227")
})
test_that("get_big_data works with latest release", {
skip_on_cran()
skip_on_actions()
expect_equal(get_big_data("test", "sf", "latest", force = TRUE, ask = FALSE), "test")
expect_equal(test(force = TRUE, ask = FALSE), "test")
})
test_that("get_big_data fails when file doesn't exist", {
skip_on_cran()
skip_on_actions()
expect_error(get_big_data("test", "sf", "0.1.0", force = TRUE, ask = FALSE), "No assets matching filename test.rds in 0.1.0 release")
})
test_that("gh functions work with and without authentication", {
skip_on_travis()
skip_on_cran()
skip_on_actions()
gh_pat <- ""
if (nzchar(Sys.getenv("GITHUB_PAT"))) {
expect_is(get_gh_release("latest"), "list")
temp <- tempfile(fileext = ".rds")
download_release_asset("https://api.github.com/repos/bcgov/bcmapsdata/releases/assets/5432872", temp)
expect_equal(readRDS(temp), "test")
gh_pat <- Sys.getenv("GITHUB_PAT")
Sys.unsetenv("GITHUB_PAT")
}
expect_is(get_gh_release("latest"), "list")
temp <- tempfile(fileext = ".rds")
download_release_asset("https://api.github.com/repos/bcgov/bcmapsdata/releases/assets/5432872", temp)
expect_equal(readRDS(temp), "test")
Sys.setenv("GITHUB_PAT" = gh_pat)
}) |
calc_E = function(x, temp){
kb = 8.617333262145e-5
df = data.frame(x = x, temp = temp)
df$logx = log(df$x)
df$kbt = 1 / (kb * (df$temp + 273.15))
if(all(is.na(df$logx))) return(NA)
return(-as.numeric(stats::coef(stats::lm(logx ~ kbt, data = df))['kbt']))
} |
context("commands - set")
test_that("SADD", {
skip_if_cmd_unsupported("SADD")
con <- test_hiredis_connection()
key <- rand_str()
on.exit(con$DEL(key))
expect_equal(con$SADD(key, "Hello"), 1)
expect_equal(con$SADD(key, "World"), 1)
expect_equal(con$SADD(key, "World"), 0)
expect_equal(sort(unlist(con$SMEMBERS(key))), sort(c("Hello", "World")))
})
test_that("SCARD", {
skip_if_cmd_unsupported("SCARD")
con <- test_hiredis_connection()
key <- rand_str()
on.exit(con$DEL(key))
con$SADD(key, "Hello")
con$SADD(key, "World")
expect_equal(con$SCARD(key), 2)
})
test_that("SDIFF", {
skip_if_cmd_unsupported("SDIFF")
con <- test_hiredis_connection()
key1 <- rand_str()
key2 <- rand_str()
on.exit(con$DEL(c(key1, key2)))
con$SADD(key1, "a")
con$SADD(key1, "b")
con$SADD(key1, "c")
con$SADD(key2, "c")
con$SADD(key2, "d")
con$SADD(key2, "e")
expect_equal(sort(unlist(con$SDIFF(c(key1, key2)))), sort(c("a", "b")))
})
test_that("SDIFFSTORE", {
skip_if_cmd_unsupported("SDIFFSTORE")
con <- test_hiredis_connection()
key1 <- rand_str()
key2 <- rand_str()
key3 <- rand_str()
on.exit(con$DEL(c(key1, key2, key3)))
con$SADD(key1, "a")
con$SADD(key1, "b")
con$SADD(key1, "c")
con$SADD(key2, "c")
con$SADD(key2, "d")
con$SADD(key2, "e")
expect_equal(con$SDIFFSTORE(key3, c(key1, key2)), 2)
expect_equal(sort(unlist(con$SMEMBERS(key3))), sort(c("a", "b")))
})
test_that("SINTER", {
skip_if_cmd_unsupported("SINTER")
con <- test_hiredis_connection()
key1 <- rand_str()
key2 <- rand_str()
on.exit(con$DEL(c(key1, key2)))
con$SADD(key1, "a")
con$SADD(key1, "b")
con$SADD(key1, "c")
con$SADD(key2, "c")
con$SADD(key2, "d")
con$SADD(key2, "e")
expect_equal(con$SINTER(c(key1, key2)), list("c"))
})
test_that("SINTERSTORE", {
skip_if_cmd_unsupported("SINTERSTORE")
con <- test_hiredis_connection()
key1 <- rand_str()
key2 <- rand_str()
key3 <- rand_str()
on.exit(con$DEL(c(key1, key2, key3)))
con$SADD(key1, "a")
con$SADD(key1, "b")
con$SADD(key1, "c")
con$SADD(key2, "c")
con$SADD(key2, "d")
con$SADD(key2, "e")
expect_equal(con$SINTERSTORE(key3, c(key1, key2)), 1)
expect_equal(con$SMEMBERS(key3), list("c"))
})
test_that("SISMEMBER", {
skip_if_cmd_unsupported("SISMEMBER")
con <- test_hiredis_connection()
key <- rand_str()
on.exit(con$DEL(key))
con$SADD(key, "one")
expect_equal(con$SISMEMBER(key, "one"), 1)
expect_equal(con$SISMEMBER(key, "two"), 0)
})
test_that("SMEMBERS", {
skip_if_cmd_unsupported("SMEMBERS")
con <- test_hiredis_connection()
key <- rand_str()
on.exit(con$DEL(key))
con$SADD(key, "hello")
con$SADD(key, "world")
res <- con$SMEMBERS(key)
expect_is(res, "list")
expect_equal(sort(vcapply(res, identity)), sort(c("hello", "world")))
})
test_that("SMOVE", {
skip_if_cmd_unsupported("SMOVE")
con <- test_hiredis_connection()
key1 <- rand_str()
key2 <- rand_str()
on.exit(con$DEL(c(key1, key2)))
con$SADD(key1, "one")
con$SADD(key1, "two")
con$SADD(key2, "three")
expect_equal(con$SMOVE(key1, key2, "two"), 1)
expect_equal(con$SMEMBERS(key1), list("one"))
expect_equal(sort(vcapply(con$SMEMBERS(key2), identity)),
sort(c("two", "three")))
})
test_that("SPOP", {
skip_if_cmd_unsupported("SPOP")
con <- test_hiredis_connection()
key <- rand_str()
on.exit(con$DEL(key))
all <- c("one", "two", "three", "four", "five")
con$SADD(key, all[[1]])
con$SADD(key, all[[2]])
con$SADD(key, all[[3]])
v <- con$SPOP(key)
expect_true(v %in% all[1:3])
vals <- con$SMEMBERS(key)
expect_equal(sort(vcapply(vals, identity)), sort(setdiff(all[1:3], v)))
con$SADD(key, all[[4]])
con$SADD(key, all[[5]])
})
test_that("SRANDMEMBER", {
skip_if_cmd_unsupported("SRANDMEMBER")
con <- test_hiredis_connection()
key <- rand_str()
on.exit(con$DEL(key))
vals <- c("one", "two", "three")
con$SADD(key, vals)
expect_true(con$SRANDMEMBER(key) %in% vals)
v <- vcapply(con$SRANDMEMBER(key, 2), identity)
expect_equal(length(v), 2)
expect_false(any(duplicated(v)))
expect_true(all(v %in% vals))
v <- vcapply(con$SRANDMEMBER(key, -5), identity)
expect_equal(length(v), 5)
expect_true(any(duplicated(v)))
expect_true(all(v %in% vals))
})
test_that("SREM", {
skip_if_cmd_unsupported("SREM")
con <- test_hiredis_connection()
key <- rand_str()
on.exit(con$DEL(key))
con$SADD(key, "one")
con$SADD(key, "two")
con$SADD(key, "three")
expect_equal(con$SREM(key, "one"), 1)
con$SADD(key, "four")
expect_equal(sort(vcapply(con$SMEMBERS(key), identity)),
sort(c("two", "three", "four")))
})
test_that("SUNION", {
skip_if_cmd_unsupported("SUNION")
con <- test_hiredis_connection()
key1 <- rand_str()
key2 <- rand_str()
on.exit(con$DEL(c(key1, key2)))
con$SADD(key1, "a")
con$SADD(key1, "b")
con$SADD(key1, "c")
con$SADD(key2, "c")
con$SADD(key2, "d")
con$SADD(key2, "e")
expect_equal(sort(vcapply(con$SUNION(c(key1, key2)), identity)),
letters[1:5])
})
test_that("SUNIONSTORE", {
skip_if_cmd_unsupported("SUNIONSTORE")
con <- test_hiredis_connection()
key1 <- rand_str()
key2 <- rand_str()
key3 <- rand_str()
on.exit(con$DEL(c(key1, key2, key3)))
con$SADD(key1, "a")
con$SADD(key1, "b")
con$SADD(key1, "c")
con$SADD(key2, "c")
con$SADD(key2, "d")
con$SADD(key2, "e")
expect_equal(con$SUNIONSTORE(key3, c(key1, key2)), 5)
expect_equal(sort(vcapply(con$SMEMBERS(key3), identity)),
letters[1:5])
}) |
library(testthat)
library(timetk)
library(tidyverse)
library(tidyquant)
library(forecast)
library(robets)
library(fracdiff)
library(timeDate)
library(tseries)
test_check("timetk") |
local_edition(3)
mean_mat <- function(Mmin, Mmax){
Mmin <- statnet.common::NVL(Mmin, Mmax)
Mmax <- statnet.common::NVL(Mmax, Mmin)
matrix(ifelse(rbinom(length(Mmin), 1, .5), Mmin, Mmax), nrow(Mmin), ncol(Mmin))
}
test_dind_constr <- function(y0, con, Mmin=NULL, Mmax=NULL, response=NULL, ...){
nn <- network.dyadcount(y0, FALSE)
test_that(paste0("blockdiag constraint with constraint = ", format(con), ", and ", if(is.directed(y0)) "directed " else "undirected ", if(is.bipartite(y0)) "bipartite ", if(!is.null(response)) "valued ", "network"), {
ymin <- simulate(statnet.common::NVL2(response, y0~sum, y0~edges), coef=-100, constraints=con, control=control.simulate.formula(MCMC.burnin=nn*100), response=response, ...)
expect_true(all(na.omit(c(suppressWarnings(as.matrix(ymin, attrname=response))==Mmin))))
ymax <- simulate(statnet.common::NVL2(response, y0~sum, y0~edges), coef=+100, constraints=con, control=control.simulate.formula(MCMC.burnin=nn*100), response=response, ...)
expect_true(all(na.omit(c(as.matrix(ymax, attrname=response)==Mmax))))
})
}
n <- 10
m <- 7
a <- rep(1:4,1:4)
Mmax <- Mmin <- matrix(0,n,n)
for(i in unique(a)){
Mmax[a==i,a==i]<-1
}
diag(Mmax)<-0
y0 <- as.network(mean_mat(Mmin,Mmax), matrix.type="adjacency", directed=TRUE)
y0 %v% "b" <- a
test_dind_constr(y0, ~blockdiag("b"), Mmin, Mmax)
y0 <- as.network(mean_mat(Mmin,Mmax), matrix.type="adjacency", directed=FALSE)
y0 %v% "b" <- a
test_dind_constr(y0, ~blockdiag("b"), Mmin, Mmax)
y0 <- as.network(mean_mat(Mmin,Mmax), matrix.type="adjacency", directed=TRUE)
y0 %v% "b" <- a
y0[2,3]<-NA
y0[2,10]<-NA
Mmin[2,10] <- Mmin[2,3] <- 0
Mmax[2,10] <- Mmax[2,3] <- 1
test_dind_constr(y0, ~blockdiag("b")-observed, Mmin, Mmax)
Mmin <- Mmax <- as.matrix(y0)
Mmin[2,3] <- 0
Mmax[2,3] <- 1
test_dind_constr(y0, ~blockdiag("b")+observed, Mmin, Mmax)
a <- unlist(split(a, rep(1:2, n/2)))
a <- c(sort(a[1:m]), sort(a[-(1:m)]))
Mmin <- Mmax <- matrix(0,m,n-m)
for(i in unique(a)){
Mmax[a[1:m]==i,a[-(1:m)]==i]<-1
}
y0 <- as.network(mean_mat(Mmin,Mmax), matrix.type="adjacency", directed=FALSE, bipartite=m)
y0 %v% "b" <- a
test_dind_constr(y0, ~blockdiag("b"), Mmin, Mmax)
y0[7,8]<-NA
y0[6,9]<-NA
Mmin[6,2] <- Mmin[7,1] <- 0
Mmax[6,2] <- Mmax[7,1] <- 1
test_dind_constr(y0, ~blockdiag("b")-observed, Mmin, Mmax)
Mmin <- Mmax <- as.matrix(y0)
Mmin[6,2] <- 0
Mmax[6,2] <- 1
test_dind_constr(y0, ~blockdiag("b")+observed, Mmin, Mmax)
a1 <- rep(1:4,1:4)
a2 <- rep(1:2,each=5)
Mmin <- M1 <- M2 <- matrix(0,n,n)
for(i in unique(a1)){
M1[a1==i,a1==i]<-1
}
diag(M1)<-0
for(i in unique(a2)){
M2[a2==i,a2==i]<-1
}
diag(M2)<-0
Mmax <- M1*M2
y0 <- as.network(mean_mat(Mmin,Mmax), matrix.type="adjacency", directed=FALSE)
y0 %v% "b1" <- a1
y0 %v% "b2" <- a2
test_dind_constr(y0, ~blockdiag("b1") + blockdiag("b2"), Mmin, Mmax)
a <- rep(1:4,1:4)
Mmax <- Mmin <- matrix(0,n,n)
for(i in unique(a)){
Mmax[a==i,a==i]<-4
}
diag(Mmax)<-0
y0 <- as.network(mean_mat(Mmin,Mmax), matrix.type="adjacency", directed=TRUE, ignore.eval=FALSE, names.eval="w")
y0 %v% "b" <- a
test_dind_constr(y0, ~blockdiag("b"), Mmin, Mmax, response="w", reference=~DiscUnif(0,4)) |
ssfa <- function(formula, data = NULL, data_w = NULL, intercept = TRUE, pars = NULL, par_rho = TRUE,
form = "cost")
{
mf <- model.frame(formula, data)
y <- model.response(mf)
x <- mf[-1]
w <- as.matrix(data_w)
tm <- attr(mf, "terms")
intercept <- attr(tm, "intercept") == 1
if(!is.vector(y)) stop("y is not a vector")
if(!is.data.frame(x)) stop("x is not a data frame")
if(length(y) != nrow(x)) stop("x and y lengths differ")
ssfa.fit(y = y, x = x, w=w, intercept = intercept, pars = pars, form=form, par_rho=par_rho)
} |
locationTest <-
function(x, y, method = c("t", "kw2"),
title = NULL, description = NULL)
{
method = match.arg(method)
if (method == "t") {
ans = .tTest(x, y, title = title, description = description)
}
if (method == "kw2") {
ans = .kw2Test(x, y, title = title, description = description)
}
ans
}
.tTest <-
function(x, y, title = NULL, description = NULL)
{
call = match.call()
test = list()
DNAME = paste(deparse(substitute(x)), "and", deparse(substitute(y)))
test$data.name = DNAME
x = as.vector(x)
y = as.vector(y)
two.sided = t.test(x = x, y = y, alternative = "two.sided",
mu = 0, paired = FALSE, var.equal = FALSE, conf.level = 0.95)
less = t.test(x = x, y = y, alternative = "less",
mu = 0, paired = FALSE, var.equal = FALSE, conf.level = 0.95)
greater = t.test(x = x, y = y, alternative = "greater",
mu = 0, paired = FALSE, var.equal = FALSE, conf.level = 0.95)
two.sided.equal = t.test(x = x, y = y, alternative = "two.sided",
mu = 0, paired = FALSE, var.equal = TRUE, conf.level = 0.95)
less.equal = t.test(x = x, y = y, alternative = "less",
mu = 0, paired = FALSE, var.equal = TRUE, conf.level = 0.95)
greater.equal = t.test(x = x, y = y, alternative = "greater",
mu = 0, paired = FALSE, var.equal = TRUE, conf.level = 0.95)
PARAMETER = c(length(x), length(y), 0)
names(PARAMETER) = c(
"x Observations",
"y Observations",
"mu")
test$parameter = PARAMETER
ESTIMATE = c(two.sided$estimate, var(x), var(y))
names(ESTIMATE) = c("Mean of x", "Mean of y", "Var of x", "Var of y")
test$estimate = ESTIMATE
PVAL = c(
two.sided$p.value,
less$p.value,
greater$p.value,
two.sided.equal$p.value,
less.equal$p.value,
greater.equal$p.value)
names(PVAL) = c(
"Alternative Two-Sided",
"Alternative Less",
"Alternative Greater",
"Alternative Two-Sided | Equal Var",
"Alternative Less | Equal Var",
"Alternative Greater | Equal Var")
test$p.value = PVAL
STATISTIC = c(
two.sided$statistic,
two.sided.equal$statistic)
names(STATISTIC) = c(
" T",
"T | Equal Var")
test$statistic = STATISTIC
CONF.INT = cbind(
a = two.sided$conf.int,
b = less$conf.int,
c = greater$conf.int,
d = two.sided.equal$conf.int,
e = less.equal$conf.int,
f = greater.equal$conf.int)
dimnames(CONF.INT)[[2]] = c(
"Two-Sided",
" Less",
" Greater",
"Two-Sided | Equal Var",
" Less | Equal Var",
" Greater | Equal Var")
test$conf.int = CONF.INT
if (is.null(title)) title = "t Test"
if (is.null(description)) description = date()
new("fHTEST",
call = call,
data = list(x = x, y = y),
test = test,
title = as.character(title),
description = as.character(description) )
}
.kw2Test <-
function(x, y, title = NULL, description = NULL)
{
call = match.call()
test = list()
DNAME = paste(deparse(substitute(x)), "and", deparse(substitute(y)))
test$data.name = DNAME
x = as.vector(x)
y = as.vector(y)
ESTIMATE = c(mean(x), mean(y), var(x), var(y))
names(ESTIMATE) = c("Mean of x", "Mean of y", "Var of x", "Var of y")
test$estimate = ESTIMATE
PARAMETER = c(length(x), length(y))
names(PARAMETER) = c(
"x Observations",
"y Observations")
test$parameter = PARAMETER
x = list(x = x, y = y)
if (length(x) < 2) stop("x must be a list with at least 2 elements")
k = length(x)
l = sapply(x, "length")
g = factor(rep(1 : k, l))
x = unlist(x)
n = length(x)
if (n < 2) stop("not enough observations")
r = rank(x)
TIES = table(x)
STATISTIC = sum(tapply(r, g, "sum")^2 / tapply(r, g, "length"))
STATISTIC = ((12 * STATISTIC / (n * (n + 1)) - 3 * (n + 1)) /
(1 - sum(TIES^3 - TIES) / (n^3 - n)))
names(STATISTIC) = "KW chi-squared"
test$statistic = STATISTIC
PVAL = 1 - pchisq(STATISTIC, 1)
names(PVAL) = ""
test$p.value = PVAL
if(is.null(title)) title = "Kruskal-Wallis Two Sample Test"
if(is.null(description)) description = date()
new("fHTEST",
call = call,
data = list(x = x, y = y),
test = test,
title = as.character(title),
description = as.character(description) )
} |
getMu <- function(T, p.m)
{
M.x <- ifelse(T <= p.m["t1"], p.m["x1"],
ifelse(T > p.m["t1"]+p.m["dt"], p.m["x2"],
p.m["x1"] + (p.m["x2"] - p.m["x1"])/ p.m["dt"] * (T - p.m["t1"])))
M.y <- ifelse(T <= p.m["t1"], p.m["y1"],
ifelse(T > p.m["t1"]+p.m["dt"], p.m["y2"],
p.m["y1"] + (p.m["y2"] - p.m["y1"])/ p.m["dt"] * (T - p.m["t1"])))
return(cbind(x = M.x, y = M.y))
}
getMu_multi <- function(T, p.m){
xs <- p.m[grep("x", names(p.m))] %>% as.vector
ys <- p.m[grep("y", names(p.m))] %>% as.vector
dt <- p.m[grep("dt", names(p.m))] %>% as.vector
n.shifts <- length(xs) - 1
t.starts <- p.m[paste0("t",1:n.shifts)] %>% as.vector
t.ends <- t.starts + dt
breaks <- c(min(T) - 1,rowMeans(cbind(t.starts[-1], t.ends[-n.shifts])),max(T))
Mu <- matrix(nrow = length(T), ncol=2, dimnames = list(NULL, c("x","y")))
for(i in 1:n.shifts){
which <- which(T > breaks[i] & T <= breaks[i+1])
myp.m = c(t1 = t.starts[i], dt = dt[i],
x1 = xs[i], y1 = ys[i],
x2 = xs[i+1], y2 = ys[i+1])
Mu[which,] <- getMu(T[which], myp.m)
}
return(Mu)
}
getMu.return <- function(T, p.m){
x1 <- p.m['x1']
x2 <- p.m['x2']
x3 <- p.m['x1']
y1 <- p.m['y1']
y2 <- p.m['y2']
y3 <- p.m['y1']
t1 <- p.m['t1']
dt1 <- p.m['dt1']
t2 <- p.m['t2']
dt2 <- p.m['dt2']
M.x <- ifelse(T <= t1, x1,
ifelse(T < t1+dt1, x1 + (x2 - x1)/dt1 * (T - t1),
ifelse(T < t2, x2,
ifelse(T < t2 + dt2, x2 + (x3 - x2)/dt2 * (T - t2),
x3))))
M.y <- ifelse(T <= t1, y1,
ifelse(T < t1+dt1, y1 + (y2 - y1)/dt1 * (T - t1 ),
ifelse(T < t2, y2,
ifelse(T < t2 + dt2, y2 + (y3 - y2)/dt2 * (T - t2),
y3))))
return(cbind(x = M.x, y = M.y))
} |
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