Try this:
aggregate(.~ id, lapply(test, as.character), FUN = paste, collapse = "")
On Fri, Jan 21, 2011 at 10:25 AM, Den <d.kazakiew...@gmail.com> wrote:
> Dear [R] people
> Could you please help with following data transformation.
> Any suggestions, hints, references and even guessing on performing any
> of the following steps are highly appreciated. Those transformations are
> crucial for my work.
>
> (n_, _n, j_, k_ signify numbers)
>
> SOURCE DATA:
> id cycle1 cycle2 cycle3
cycle_n
> 1 c c c c
> 1 m m m m
> 1 f f f f
> 2 m m m NA
> 2 f f f NA
> 2 c c c NA
> 3 a a NA NA
> 3 c c c NA
> 3 f f f NA
> 3 NA NA m NA
> ...........................................
>
>
>
> RESULT DATA1:
> id cyc1 cyc2 cyc3
cyc_n
> 1 cfm cfm cfm cfm
> 2 cfm cfm cfm NA
> 3 acf acf cfm NA
> ...........................................
>
>
> RESULT DATA2:
> id treatment
> 1 n_cfm
> 2 j_cfm
> 3 2acf->k_cfm
> ...................
>
>
> RESULT DATA3:
> id regimen numOfCycles
> 1 cfm n_
> 2 cfm j_
> 3 asf->cfm {2+k_}
> .............................
>
>
>
> Thank you
> Denis
>
> ______________________________________________
> R-help@r-project.org mailing list
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> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
--
Henrique Dallazuanna
Curitiba-Paraná-Brasil
25° 25' 40" S 49° 16' 22" O
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