example in the code fragment below, I am creating a reference to "y"
(of size 500MB) and storing the reference in object "data". But when I save "data" and then restore it in another R session, gc() claims it is using twice the amount of memory. Where/How is this happening?
Thanks for any help in working around this - my datasets are just not fitting into my 4GB, 32 bit linux machine (even though my actual data size is around 800MB)
Nawaaz
> new.ref <- function(value = NULL) {
+ ref <- list(env = new.env())
+ class(ref) <- "refObject"
+ assign("value", value, env = ref$env)
+ ref
+ }
> object.size(y)
[1] 587941404
> y.ref = new.ref(y)
> object.size(y.ref)
[1] 328
> data = list()
> data$y.ref = y.ref
> object.size(data)
[1] 492
> save(data, "data.RData")...
run R again ===========
> load("data.RData")
> gc()
used (Mb) gc trigger (Mb)
Ncells 141051 3.8 350000 9.4
Vcells 147037925 1121.9 147390241 1124.5______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
