Memory is something that we always need to keep track of in R.
Here's a nice trick found in stackoverflow.com
# improved list of objects
.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.size <- napply(names, object.size)
obj.prettysize <- sapply(obj.size, function(r) prettyNum(r, big.mark = ","))
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), ]
out <- out[c("Type", "PrettySize", "Rows", "Columns")]
names(out) <- c("Type", "Size", "Rows", "Columns")
if (head)
out <- head(out, n)
out
}
# shorthand
lsos <- function(..., n = 10) {
.ls.objects(..., order.by = "Size", decreasing = TRUE, head = TRUE, n = n)
}
This one is going to my .Rprofile
.
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