[R] Why R is 200 times slower than Matlab ?

[jim holtman]

You just have to use the right functions: is this fast enough

> system.time(x <- expand.grid(1:300, 1:300))
   user  system elapsed
   0.00    0.01    0.01



On Wed, Apr 30, 2008 at 4:15 PM, Zhandong Liu
<zhandong at mail.med.upenn.edu> wrote:
> I am switching from Matlab to R, but I found that R is 200 times slower than
> matlab.
>
> Since I am newbie to R, I must be missing some important programming tips.
>
> Please help me out on this.
>
> Here is the function:
> ## make the full pair-wise permutation of a vector
> ## input_fc=c(1,2,3);
> ## output_fc=(
> 1 1 1 2 2 2 3 3 3
> 1 2 3 1 2 3 1 2 3
> );
>
> grw_permute = function(input_fc){
>
> fc_vector = input_fc
>
> index = 1
>
> k = length(fc_vector)
>
> fc_matrix = matrix(0,2,k^2)
>
> for(i in 1:k){
>
> for(j in 1:k){
>
> fc_matrix[index]  =  fc_vector[i]
>
> fc_matrix[index+1]  =  fc_vector[j]
>
> index = index+2
>
> }
>
> }
>
> return(fc_matrix)
>
> }
>
> For an input vector of size 300. It took R 2.17 seconds to run.
>
> But the same code in matlab only needs 0.01 seconds to run.
>
> Am I missing sth in R.. Is there a away to optimize.  ???
>
> Thanks
>
> --
> Zhandong Liu
>
> Genomics and Computational Biology
> University of Pennsylvania
>
> 616 BRB II/III, 421 Curie Boulevard
> University of Pennsylvania School of Medicine
> Philadelphia, PA 19104-6160
>
>        [[alternative HTML version deleted]]
>
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>



-- 
Jim Holtman
Cincinnati, OH
+1 513 646 9390

What is the problem you are trying to solve?