Dear Henrique
Thank you again for helping me
Unfortunately, your code seems not to be working
> aggregate(.~ id, lapply(df, as.character), FUN = paste, collapse = "")
id cycle1 cycle2 cycle3
1 1 cmf cmf cmf
2 2 mfc mfc mfc
3 3 cf cf cf
(letter 'a' missing in df[3,c("cycle1",cycle2")]
You suggested very interesting approach, however. Those '.~ id' and
'as.character' gave me hope for success.
With very best regards
Denis
У Пят, 21/01/2011 у 14:16 -0200, Henrique Dallazuanna піша:
> 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
>
> ______________________________________________
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> PLEASE do read the posting guide
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> 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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