#' Memory usage Check
#'
#' Function checks memory usage and shows the biggest objects in the given
#' environment
#'
#' This function is based on an idea posted at stack overflow:
#' http://stackoverflow.com/questions/1358003/tricks-to-manage-the-available-memory-in-an-r-session
#'
#' @param order.by Column based on which the data should be sorted
#' @param decreasing Determines whether the values should be in an increasing
#' or decreasing order
#' @param n Limit of number of elements that should be shown. NULL means no
#' limit
#' @param envir Environment which should be analyzed, but default the parent
#' environment relative to this function.
#' @param gc Determines whether the garbage collector should be executed at the
#' end of the function for additional information
#' @author Jan Philipp Dietrich
#' @export
#' @seealso \code{\link{codeCheck}}
#' @examples
#' \dontrun{
#' memCheck()
#' }
#' @importFrom utils capture.output object.size head
memCheck <- function (order.by="Size",decreasing=TRUE, n=NULL, envir=parent.frame(),gc=TRUE) {
napply <- function(names, fn, pos) sapply(names, function(x)
fn(get(x,pos=pos)))
names <- ls(envir)
if(length(names)==0) {
cat("\nEnvironment is empty!\n")
return(NULL)
}
obj.class <- napply(names, function(x) as.character(class(x))[1],envir)
obj.mode <- napply(names, mode,envir)
obj.type <- ifelse(is.na(obj.class), obj.mode, obj.class)
obj.prettysize <- napply(names, function(x) {
capture.output(print(object.size(x), units = "auto")) },envir)
obj.size <- napply(names, object.size,envir)
obj.dim <- t(napply(names, function(x)
as.numeric(dim(x))[1:2],envir))
vec <- is.na(obj.dim)[, 1] & (obj.type != "function")
obj.dim[vec, 1] <- napply(names, length,envir)[vec]
out <- data.frame(obj.type, obj.size, obj.prettysize, obj.dim)
names(out) <- c("Type", "Size", "PrettySize", "Rows", "Columns")
if (!is.null(order.by))
out <- out[order(out[[order.by]], decreasing=decreasing), ]
if (!is.null(n))
out <- head(out, n)
cat("\n")
print(out)
if(gc) {
cat("\n")
print(gc(reset=FALSE))
}
cat("\n")
}
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