R help - Sep 2011 - How to speed up regressions (related to data.frame)

All,

I have a function that runs a set of regressions (using the rlm
function) and I notice that it run much slower on my 64-bit R than it
does on my 32-bit R.  I guess the bigger bit size slows it down.
Anyway, I looked into Rprof to see how I can speed it up.  I saw that
78% of the total time is spent in [.data.frame, so I tried converting my
data to a matrix using data.matrix, but then rlm complained that data
needs to be in the form of a data.frame.  Am I stuck or is there still
maybe a way to speed up my function?

Thanks,

Roger
***************************************************************

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I just tried
library(MASS)
rlm(1:12+rnorm(12),1:12)

it seems it works on vectors too, but maybe I miss something.

2011/9/6 Bos, Roger <roger.bos at rothschild.com>:
> All,
>
> I have a function that runs a set of regressions (using the rlm
> function) and I notice that it run much slower on my 64-bit R than it
> does on my 32-bit R. ?I guess the bigger bit size slows it down.
> Anyway, I looked into Rprof to see how I can speed it up. ?I saw that
> 78% of the total time is spent in [.data.frame, so I tried converting my
> data to a matrix using data.matrix, but then rlm complained that data
> needs to be in the form of a data.frame. ?Am I stuck or is there still
> maybe a way to speed up my function?
>
> Thanks,
>
> Roger
> ***************************************************************
>
> This message is for the named person's use only. It
may\...{{dropped:14}}
>
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