[R] object size of a matrix and a list
jim holtman
jholtman at gmail.com
Thu Mar 19 03:49:02 CET 2009
You were doing for a small size where the overhead masked the gains.
Here a larger case where you can see the differences:
> #matrix
> beta.mat <- matrix(0,nr=500, nc=200)
>
> #list
> gamma.mat <- list(a= matrix(1L, 500, 100), b=matrix(1.0, 500, 100))
>
> object.size(beta.mat)
[1] 800112
> object.size(gamma.mat)
[1] 600408
> str(gamma.mat)
List of 2
$ a: int [1:500, 1:100] 1 1 1 1 1 1 1 1 1 1 ...
$ b: num [1:500, 1:100] 1 1 1 1 1 1 1 1 1 1 ...
>
How big do you expect your data items to get? No need to try to
optimize if they are not large (e.g., taking up 10% of your available
memory).
On Wed, Mar 18, 2009 at 10:14 PM, Kyeongmi Cheon <katie.cheon at gmail.com> wrote:
> Hello,
> My program calculates several variables at each iteration and some of them are
>
> integers and the rest are numeric. When I save them into a matrix, all of them
>
> are of numeric type, of course.
>
> I'm trying to find a way to save time/memory of my program and I was thinking
>
> that it might help to force some variables to be of integer type and the other
>
> columns numeric type.
>
> But when I actually tried it, I found it contrary. A list that has mixtures of
>
> integers and doubles are larger in size than a matrix that has only doubles. Do
>
> lists always take up more space than matrices if they have the same/similar
>
> variables? I just want to know it for the sake of efficiency. Thank
> you for your time.
> Kyeongmi
>
>
> My short test program is here:
>
>
> #matrix
> beta.mat <- matrix(0,nr=5, nc=2)
> for (i in 1:5){
> beta.mat[i,] <- c(i,i*10.0)
> }
>
> #list
> gamma.mat <- list()
> for (i in 1:5){
> gamma.mat$aa[i] <- i
> gamma.mat$bb[i] <- i*10.0
> }
>
> object.size(beta.mat) #240
> object.size(gamma.mat) #312
>
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> 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?
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