Dear,
When I use big data for a temporary use it seems that the memory is not
released when a function/environement is created nearby.
Here the reproducible exemple:
test<-function(){
x=matrix(0,50000,10000)
y=function(nb) nb^2
return(y)
}
xx=test() # 3 Go of Ram is used
gc() # Memory is not released !! even if x has been destroyed [look into
software mem used]
format(object.size(xx),units="auto") # 1.4 KiB => R is worng on the size of
the object
rm(xx)
gc() # Memory is released
## Classic
test2<-function(){
x=matrix(0,50000,10000)
y=1
return(y)
}
xx=test2() # Memory is used
gc() # => Memory is released
How can I release the data in test without destroying the xx object ? As x
which is big object is destroyed, I though I could get my memory back but
it seems that the function y is keeping the x object.
Best
[[alternative HTML version deleted]]
______________________________________________
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.
