You might have a look at the reshape __package__, which I generally find
easier to use than the reshape function.
Kevin Wright
On Mon, Sep 14, 2009 at 9:41 AM, Luca Braglia <brag...@poleis.eu> wrote:
> Hello *
>
> I would like to reshape wide the following dataset:
>
>
> > rl <- read.dta("intermedi/rapporti_lavoro.dta")
> [c("id_rl","prog","sil_pi","sil_cf","sil_dat_avv")]
> > dim(rl)
> [1] 12964 5
> > object.size(rl)
> 1194728 bytes
>
> > head(rl)
> id_rl prog sil_pi sil_cf sil_dat_avv
> 1 638 1 04567XXXXXX NLMDRE64A5XXXXXX 2000-08-03
> 2 1033 1 54872XXXXXX FLGOIP66A3XXXXXX 2000-11-28
> 3 1043 2 56849XXXXXX QPWOER52E2XXXXXX 2000-07-07
> 4 1508 2 54982XXXXXX FJKLSD67P4XXXXXX 2000-12-12
> 5 1532 2 56849XXXXXX QWERTG50T0XXXXXX 2000-03-30
> 6 3283 1 12345XXXXXX POIQWE74H0XXXXXX 1999-12-31
>
> Sil_cf and sil_pi are the idvar (sensible data too), prog is the timevar
> (now dataset is not sorted)
>
> > sapply(rl, class)
> id_rl prog sil_pi sil_cf sil_dat_avv
> "integer" "integer" "character" "character" "Date"
>
> > apply(rl, 2, function(x) sum(duplicated(x)))
> id_rl prog sil_pi sil_cf sil_dat_avv
> 0 12863 6957 9886 10539
>
> > range(rl$prog)
> [1] 1 101
>
> > table(cut(rl$prog,5))
>
> (0.9,20.9] (20.9,41] (41,61] (61,81.1] (81.1,101]
> 12784 75 42 40 23
>
>
>
>
> So i've scripted
>
> rl.wide <- reshape(rl, idvar=c("sil_cf","sil_pi"), timevar="prog",
> direction="wide")
>
> but after a biblic time I got something like "Error: evaluation nested too
> deeply: infinite recursion".
>
> Any suggestion to perform that reshape?
>
> Many thanks
>
> Luca
>
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