Try the reshape package
This should do what you want.
================================================
library(reshape)
df1 <- melt(mydata, id=c("ID"),
measured=c("a1","a2","a3")) ; df1
stats <- cast(df1, ID ~ variable , mean) ; stats
=================================================
--- affy snp <[EMAIL PROTECTED]> wrote:
> > Dear list,
> > I have a data frame like:
> >
> > > log2.ratios[1:3,1:4]
> > ID a1 a2
> a3
> > 1 GS1-232B23 -0.0207500 0.17553833
> 0.21939333
> > 2 RP11-82D16 -0.1896667 0.02645167
> -0.03112333
> > 3 RP11-62M23 -0.1761700 0.08214500
> -0.04877000
> > 4 RP11-62M23 0.2761700 -0.15214500
> -0.05877000
> >
>
> the 3rd and 4th rows are of the same ID, I would
> like to take the avarage of
> these
> two rows and get the data frame to:
>
> ID a1 a2
> a3
> 1 GS1-232B23 -0.0207500 0.17553833 0.21939333
> 2 RP11-82D16 -0.1896667 0.02645167 -0.03112333
> 3 RP11-62M23 -0.05 -0.035
> 0.094135
>
> Can anyone suggest how to deal with this (to take
> the ave of two rows of the
> same ID ) more quickly?
>
> Thanks a bunch!
>
> Allen
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
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>
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