R/lso.R

In GarrettMooney/moonmisc: Personal Utility Functions

##' List objects in the workspace
##'
##' This function lists objects in the workspace in decreasing order of size,
##' showing their memory usage and length/rows/columns as necessary.  This is
##' the shorthand version. \code{.ls.objects} has more options.  This is taken
##' from \url{http://stackoverflow.com/a/4951004/1757441}.
##'
##' @param n number of objects to list
##' @param ... arguments to pass to \code{.ls.objects}
##' @export
lso <- function(..., n=20) {
  .ls.objects(..., order.by="Size", decreasing=TRUE, head=TRUE, n=n)
}

##' @export
.ls.objects <- function (pos = 1, pattern, order.by,
                         decreasing=FALSE, head=FALSE, n=5) {
  napply <- function(names, fn) sapply(names, function(x)
    fn(get(x, pos = pos)))
  names <- ls(pos = pos, pattern = pattern)
  obj.class <- napply(names, function(x) as.character(class(x))[1])
  obj.mode <- napply(names, mode)
  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")) })
  obj.size <- napply(names, object.size)
  obj.dim <- t(napply(names, function(x)
    as.numeric(dim(x))[1:2]))
  vec <- is.na(obj.dim)[, 1] & (obj.type != "function")
  obj.dim[vec, 1] <- napply(names, length)[vec]
  out <- data.frame(obj.type, obj.size, obj.prettysize, obj.dim)
  names(out) <- c("Type", "Size", "PrettySize", "Rows", "Columns")
  if (!missing(order.by))
    out <- out[order(out[[order.by]], decreasing=decreasing), ]
  if (head)
    out <- head(out, n)
  out
}