Thanks for the help,
Perhaps I should elaborate a bit, I am working on bioinformatics project in
which I am trying to run a forward selection algorithm for machine learning
classification of two biological conditions.
At each iteration I want to find the gene that in addition to those I have
fo
Moriah,
Since you are doing nested loops, Rcpp may be an easy speed-up. Follow
all the links here
http://blog.revolutionanalytics.com/2012/11/hadleys-guide-to-high-performance-r-with-rcpp.html
for details.
HTH,
Jim Porzak
Minted.com
San Francisco, CA
www.linkedin.com/in/jimporzak
use R! Group SF:
1. Have you looked at CRAN Task View: High-Performance and
Parallel Computing with R
(http://cran.r-project.org/web/views/HighPerformanceComputing.html)?
2. Have you tried the "compiler" package? If I understand
correctly, R is a two-stage interpreter, first translating what we
And also:
On Monday, December 3, 2012, Uwe Ligges wrote:
>
>
> On 03.12.2012 11:14, moriah wrote:
>
>> Hi,
>>
>> I have an R script which is time consuming because it has two nested loops
>> in it of at least 5000 iterations each, I have tried to use the multicore
>> package but id doesn't seem t
On 03.12.2012 11:14, moriah wrote:
Hi,
I have an R script which is time consuming because it has two nested loops
in it of at least 5000 iterations each, I have tried to use the multicore
package but id doesn't seem to improve the elapsed time of the script(a
shorter script for example) and I
Hi,
I have an R script which is time consuming because it has two nested loops
in it of at least 5000 iterations each, I have tried to use the multicore
package but id doesn't seem to improve the elapsed time of the script(a
shorter script for example) and I can't use the mcapply because of techni
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