rom: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
> project.org] On Behalf Of Alison Macalady
> Sent: Wednesday, September 22, 2010 5:05 AM
> To: r-help@r-project.org
> Subject: [R] speeding up regressions using ddply
>
>
>
> Hi,
>
> I have a data set that I&#
There has been a recent addition of parallel processing capabilities
to plyr (I believe v1.2 and later), along with a dataframe iterator
construct. Both have improved performance of ddply greatly for
multicore/cluster computing. So we now have the niceness of plyr's
grammar with pretty good pe
Hi Alison,
On Wed, Sep 22, 2010 at 11:05 AM, Alison Macalady wrote:
>
>
> Hi,
>
> I have a data set that I'd like to run logistic regressions on, using ddply
> to speed up the computation of many models with different combinations of
> variables.
In my experience ddply is not particularly fast.
Hi,
I have a data set that I'd like to run logistic regressions on, using
ddply to speed up the computation of many models with different
combinations of variables. I would like to run regressions on every
unique two-variable combination in a portion of my data set, but I
can't quite
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