[R] Memory hungry routines

ALBERTO VIEIRA FERREIRA MONTEIRO albmont at centroin.com.br
Mon Dec 29 19:52:05 CET 2014

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

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