129 lines
4.2 KiB
R
129 lines
4.2 KiB
R
.ess_weave <- function(command, file, encoding = NULL){
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cmd_symb <- substitute(command)
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if(grepl('knit|purl', deparse(cmd_symb))) require(knitr)
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od <- getwd()
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on.exit(setwd(od))
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setwd(dirname(file))
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frame <- parent.frame()
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if(is.null(encoding))
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eval(bquote(.(cmd_symb)(.(file))), envir = frame)
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else
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eval(bquote(.(cmd_symb)(.(file), encoding = .(encoding))), envir = frame)
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}
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.ess_knit <- function(file, output = NULL){
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library(knitr)
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frame <- parent.frame()
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od <- getwd()
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on.exit(setwd(od))
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setwd(dirname(file))
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## this bquote is really needed for data.table := operator to work correctly
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eval(bquote(knit(.(file), output = .(output))), envir = frame)
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}
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.ess_sweave <- function(file, output = NULL){
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od <- getwd()
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frame <- parent.frame()
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on.exit(setwd(od))
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setwd(dirname(file))
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eval(bquote(Sweave(.(file), output = .(output))), envir = frame)
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}
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## Users might find it useful. So don't prefix with .ess.
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htsummary <- function (x, hlength = 4, tlength = 4, digits = 3)
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{
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## fixme: simplify and generalize
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snames <- c("mean", "sd", "min", "max", "nlev", "NAs")
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d <- " "
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num_sumr <- function(x){
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c(f(mean(x, na.rm = TRUE)),
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f(sd(x, na.rm = TRUE)),
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f(min(x, na.rm = TRUE)),
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f(max(x, na.rm = TRUE)),
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d,
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f(sum(is.na(x), na.rm = TRUE)))
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}
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f <- function(x) format(x, digits = digits)
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if (is.data.frame(x) | is.matrix(x)) {
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if (nrow(x) <= tlength + hlength){
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print(x)
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} else {
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if (is.matrix(x))
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x <- data.frame(unclass(x))
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## conversion needed, to avoid problems with derived classes suchs as data.table
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h <- as.data.frame(head(x, hlength))
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t <- as.data.frame(tail(x, tlength))
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for (i in 1:ncol(x)) {
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h[[i]] <- f(h[[i]])
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t[[i]] <- f(t[[i]])
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}
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## summaries
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sumr <- sapply(x, function(c){
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if(is.logical(c))
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## treat logical as numeric; it's harmless
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c <- as.integer(c)
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if(is.numeric(c))
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num_sumr(c)
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else if(is.factor(c)) c(d, d, d, d, nlevels(c), sum(is.na(c)))
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else rep.int(d, length(snames))
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})
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sumr <- as.data.frame(sumr)
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row.names(sumr) <- snames
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dots <- rep("...", ncol(x))
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empty <- rep.int(" ", ncol(x))
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lines <- rep.int(" ", ncol(x))
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df <- rbind(h, ...= dots, t, `_____` = lines, sumr, ` ` = empty)
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print(df)
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}
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} else {
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cat("head(", hlength, "):\n", sep = "")
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print(head(x, hlength))
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if(length(x) > tlength + hlength){
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cat("\ntail(", tlength, "):\n", sep = "")
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print(tail(x, tlength))
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}
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cat("_____\n")
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if(is.numeric(x) || is.logical(x))
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print(structure(num_sumr(x), names = snames), quote = FALSE)
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else if(is.factor(x)){
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cat("NAs: ", sum(is.na(x), na.rm = TRUE), "\n")
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cat("levels: \n")
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print(levels(x))
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}
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}
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invisible(NULL)
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}
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.ess_vignettes <- function(all=FALSE) {
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vs <- unclass(browseVignettes(all=all))
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vs <- vs[sapply(vs, length) > 0]
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mat2elist <- function(mat){
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if(!is.null(dim(mat))){
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apply(mat, 1, function(r)
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sprintf("(list \"%s\")",
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paste0(gsub("\"","\\\\\"",
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as.vector(r[c("Title", "Dir", "PDF", "File", "R")])),
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collapse = "\" \"")))
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}
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}
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cat("(list \n",
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paste0(mapply(function(el, name) sprintf("(list \"%s\" %s)",
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name,
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paste0(mat2elist(el), collapse = "\n")),
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vs, names(vs)), collapse = "\n"), ")\n")
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}
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.ess_Rd2txt <- function(Rd) {
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fun <- tools::Rd2txt
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if(length(formals(fun)["stages"]))# newer R version
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fun(Rd, stages = c("build", "install", "render"))
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else
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fun(Rd)
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}
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## Local Variables:
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## eval: (ess-set-style 'RRR t)
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## End:
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