So RA has to be installed in "c:\program files\R\RXXX"? I have R installed
on another partition, but RA failed to locate it.
Shige
On Thu, May 1, 2008 at 9:47 PM, Zhandong Liu <[EMAIL PROTECTED]>
wrote:
> Great. Thanks a lot.
> ZD
>
> On Wed, Apr 30, 2008 at 7:31 PM, Nelson Castillo <[EMAIL PROT
Great. Thanks a lot.
ZD
On Wed, Apr 30, 2008 at 7:31 PM, Nelson Castillo <[EMAIL PROTECTED]>
wrote:
> On Wed, Apr 30, 2008 at 6:27 PM, Gabor Grothendieck
> <[EMAIL PROTECTED]> wrote:
> > Aside from optiming your code by making use of R functions
> > that use C underneath as much as possible the
On 5/1/08, Shige Song <[EMAIL PROTECTED]> wrote:
> Will the use of jit improve performance of use contributed packages such as
> lme4? Thanks.
A technology like a byte-compiler or a just-in-time compiler will
change the performance of interpreted code. It will not change the
performance of compi
On Thu, May 1, 2008 at 12:31 AM, Nelson Castillo <[EMAIL PROTECTED]> wrote:
> > Aside from optiming your code by making use of R functions
> > that use C underneath as much as possible the big difference
> > between R and Matlab is Matlab's just-in-time compilation of
> > code. When that wa
Will the use of jit improve performance of use contributed packages such as
lme4? Thanks.
Shige
On Thu, May 1, 2008 at 7:31 AM, Nelson Castillo <[EMAIL PROTECTED]> wrote:
> On Wed, Apr 30, 2008 at 6:27 PM, Gabor Grothendieck
> <[EMAIL PROTECTED]> wrote:
> > Aside from optiming your code by makin
On Wed, Apr 30, 2008 at 6:27 PM, Gabor Grothendieck
<[EMAIL PROTECTED]> wrote:
> Aside from optiming your code by making use of R functions
> that use C underneath as much as possible the big difference
> between R and Matlab is Matlab's just-in-time compilation of
> code. When that was introdu
Aside from optiming your code by making use of R functions
that use C underneath as much as possible the big difference
between R and Matlab is Matlab's just-in-time compilation of
code. When that was introduced in Matlab huge speedups of
Matlab programs were noticeable.
For R, there is a new pac
Ah, so the code is quite similar in MATLAB (and the *algorithm* is the
same :-) ).
The "Important programming tip" is that when converting from MATLAB to R, you
shouldn't just 'translate' from MATLAB code to R code, you must reconsider
the problem in the context of the R environment. This is v
This is the missing Matlab code:
function[fc_matrix]=grw_permute(fc_vector)
n=length(fc_vector);
fc_matrix=zeros(2,n^2);
index=1;
for i=1:n
for j=1:n
fc_matrix(index)=fc_vector(i);
fc_matrix(index+1)=fc_vector(j);
index=index+2;
end
end
On Wed, Apr 30, 200
On Thu, 01 May 2008, Zhandong Liu 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 per
Zhandong Liu 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
But please consider that this benchmark is five years old, and i believe
that R has changed quite a lot since version 1.9.
Gabor
On Wed, Apr 30, 2008 at 04:21:51PM -0400, Wensui Liu wrote:
> Hi, ZD,
> Your comment about speed is too general. Here is a benchmark
> comparison among several langua
Zhandong Liu 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.
The most important tip I would give you is to use the vectorized nature
of R whenever possible. This helps avo
You just have to use the right functions: is this fast enough
> system.time(x <- expand.grid(1:300, 1:300))
user system elapsed
0.000.010.01
On Wed, Apr 30, 2008 at 4:15 PM, Zhandong Liu
<[EMAIL PROTECTED]> wrote:
> I am switching from Matlab to R, but I found that R is 200 times
I would rather not comment on matlab (where is
your matlab code by the way?), but your function
could be simplified a bit:
grw.permute <- function(v) {
cbind( rep(v, each=length(v)), rep(v, length(v)) )
}
> system.time(tmp <- f( 1:300))
user system elapsed
0.020 0.000 0.019
This is
Hi, ZD,
Your comment about speed is too general. Here is a benchmark
comparison among several languages and HTH.
http://www.sciviews.org/benchmark/index.html
On Wed, Apr 30, 2008 at 4:15 PM, Zhandong Liu
<[EMAIL PROTECTED]> wrote:
> I am switching from Matlab to R, but I found that R is 200 times
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=
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