You might find the advice at http://adv-r.had.co.nz/memory.html helpful. Hadley
On Tue, Dec 30, 2014 at 7:52 AM, ALBERTO VIEIRA FERREIRA MONTEIRO <albm...@centroin.com.br> wrote: > Is there any way to detect which calls are consuming memory? > > I run a program whose global variables take up about 50 Megabytes of > memory, but when I monitor the progress of the program it seems to > allocating 150 Megabytes of memory, with peaks of up to 2 Gigabytes. > > I know that the global variables aren't "copied" many times by the > routines, but I suspect something weird must be happening. > > Alberto Monteiro > > PS: the lines, below, count the memory allocated to all global > variables, probably it could be adapted to track the local variables: > > y <- ls(pat="") # get all names of the variables > z <- rep(0, length(y)) # create array of sizes > for (i in 1:length(y)) z[i] <- object.size(get(y[i])) # loop: get all > sizes (in bytes) of the variables > # BTW, is there any way to vectorialize the above loop? > xix <- sort.int(z, index.return = TRUE) # sort the sizes > y <- y[xix$ix] # apply the sort to the variables > z <- z[xix$ix] # apply the sort to the sizes > y <- c(y, "total") # add a totalizator > z <- c(z, sum(z)) # sum them all > cbind(y, z) # ugly way to list them > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. -- http://had.co.nz/ ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
