[R] Summary of Total Object.Size in R Script
Prof Brian Ripley
ripley at stats.ox.ac.uk
Tue Jan 13 17:14:14 CET 2009
On Tue, 13 Jan 2009, jim holtman wrote:
> Here is a function I use to see how big the objects in my workspace are:
Be careful with the caveats spelled out in ?object.size. Especially
for character data such summations can be way off.
>
>> my.ls <-
> + function (pos = 1, sorted = F)
> + {
> + .result <- sapply(ls(pos = pos, all.names = TRUE), function(..x)
> object.size(eval(as.symbol(..x))))
> + if (sorted) {
> + .result <- rev(sort(.result))
> + }
> + .ls <- as.data.frame(rbind(as.matrix(.result), `**Total` = sum(.result)))
> + names(.ls) <- "Size"
> + .ls$Size <- formatC(.ls$Size, big.mark = ",", digits = 0,
> + format = "f")
> + .ls$Mode <- c(unlist(lapply(rownames(.ls)[-nrow(.ls)],
> function(x) mode(eval(as.symbol(x))))),
> + "-------")
> + .ls
> + }
>> my.ls()
> Size Mode
> .my.env 28 environment
> .Random.seed 2,528 numeric
> .required 72 character
> my.ls 6,712 function
> **Total 9,340 -------
>
>
> On Tue, Jan 13, 2009 at 9:53 AM, Gundala Viswanath <gundalav at gmail.com> wrote:
>> Dear all,
>>
>> Is there a way we can find the total object.size of
>> all the objects in our R script?
>>
>> The reason we want to do this because we want to know
>> how much memory does our R script require overall.
>>
>> Rprofmem(), doesn't seem to do it.
>>
>> and Unix 'top' command is dynamic and
>> it doesn't give the exact byte size.
>>
>> - Gundala Viswanath
>> Jakarta - Indonesia
>>
>> ______________________________________________
>> R-help at r-project.org mailing list
>> 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.
>>
>
>
>
> --
> Jim Holtman
> Cincinnati, OH
> +1 513 646 9390
>
> What is the problem that you are trying to solve?
>
> ______________________________________________
> R-help at r-project.org mailing list
> 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.
>
--
Brian D. Ripley, ripley at stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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