http://www.cybaea.net/Blogs/Faster-R-through-better-BLAS.html any help?
On Mar 16, 2014 9:38 PM, "Russell Bainer" wrote:
> Thanks guys. I'll look into this and tell you if I come up with anything.
>
> -R
>
>
> On Saturday, March 15, 2014, Jeff Newmiller
> wrote:
>
> > Comparing with an unspecifi
Thanks guys. I'll look into this and tell you if I come up with anything.
-R
On Saturday, March 15, 2014, Jeff Newmiller
wrote:
> Comparing with an unspecified benchmark makes answering this too hard.
> Following instructions in the Posting Guide will lead to more accurate Q
> and A.
>
> Note
Installing the openbals library may help.
Shige
On Sat, Mar 15, 2014 at 12:00 PM, Jeff Newmiller
wrote:
> Comparing with an unspecified benchmark makes answering this too hard.
> Following instructions in the Posting Guide will lead to more accurate Q
> and A.
>
> Note that you may not need to
Comparing with an unspecified benchmark makes answering this too hard.
Following instructions in the Posting Guide will lead to more accurate Q and A.
Note that you may not need to compile if you have not as yet followed the
recommendations: http://cran.r-project.org/bin/linux/ubuntu/README. The
My guess is that maybe the default Ubuntu binaries aren't compiled
with MKL (Math Kernel Library) support and thus with no
multithreading.
I would suggest doing a quick research on how to re-compile R with MKL
support and maybe you'll be good to go.
On Fri, Mar 14, 2014 at 9:45 PM, Russell Bainer
Hi All,
I've run across an odd phenomenon and I am wondering if someone might be
able to provide insight as to what is going on. I'm running some R code
that was provided by a collaborator, who is not a very experienced R
programmer (e.g., the code is functional but not very efficient). When I
run
Making a bit more sense now: "If you are translating code into R that has a
double for loop, think." The R Inferno, Page 18.
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Gerrit,
Looks like it does and in less than--an incredible--one minute!
Thank you!
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R-help@r
Hi, Thomas,
if I'm not completely mistaken
Dat2 <- match( t( Dat), ltable)
should do what you want.
Hth -- Gerrit
On Fri, 7 Oct 2011, thomas.chesney wrote:
Thank you Michael and Patrick for your responses. Michael - your code ran in
under 5 minutes, which I find stunning, and Patrick I hav
Thank you Michael and Patrick for your responses. Michael - your code ran in
under 5 minutes, which I find stunning, and Patrick I have sent the Inferno
doc to the copier for printing and reading this weekend.
I now have 8 million values in my lookup table and want to replace each
value in Dat wit
Patrick is right, most of the time is probably taken up for the
reasons documented in the (masterful) R Inferno, namely the rbind()
calls.
There is another problem though and it gets at the very core of R, and
for that matter, all interpreted languages that I'm familiar with.
I'll give a fairly el
Probably most of the time you're waiting
for this you are in Circle 2 of 'The R
Inferno'. If the values are numbers,
you might also be in Circle 1.
On 06/10/2011 13:37, Thomas wrote:
Anyone got any hints on how to make this code more efficient? An early
version (which to be fair did more than t
?unique
x <- matrix(c(1:6, 6:1),ncol=2)
x.temp <- x
dim(x.temp) <- NULL
unique(x.temp)
Michael
On Thu, Oct 6, 2011 at 8:37 AM, Thomas wrote:
> Anyone got any hints on how to make this code more efficient? An early
> version (which to be fair did more than this one is) ran for 330 hours and
>
Anyone got any hints on how to make this code more efficient? An early
version (which to be fair did more than this one is) ran for 330 hours
and produced no output.
I have a two column table, Dat, with 12,000,000 rows and I want to
produce a lookup table, ltable, in a 1 dimensional matrix
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