Try this:

DF <- data.frame(para.A = c(1, 3), para.B = c(2, 4), para.C = c(3, 1),
                 obs1 = c(4, 1), obs2 = c(5, 0), obs3 = c(7, 8))
long <- reshape(DF, direction = 'long', varying=4:6, sep = "")
long[order(long$id),]

On Mon, Jun 15, 2009 at 4:02 PM, Oliver <fwang2@gmail.com> wrote:

> hi,  all
>
> I inherited a data set with format like the following:
>
> para.A   para.B   para.C  observation.1  observation.2 observation.3
> ....
>
> Essentially, the same experiment (with same parameters) are conducted
> 3 times, with corresponding observations.
>
> What are the efficient ways of re-arranging this data set in a one row
> per observation such that:
>
> para.A para.B para.C  observation.1
> para.A para.B para.C  observation.2
> para.A para.B para.C  observation.3
>
> I am thinking of doing a loop on each row and expand it, but wondering
> if there are other more convenient ways?
>
> thanks
>
> Oliver
>
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>



-- 
Henrique Dallazuanna
Curitiba-Paraná-Brasil
25° 25' 40" S 49° 16' 22" O

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