[R] restructuring datset problem

[Gabor Grothendieck]

Try this:

> # read in data ensuring NAME is character, not factor
> Lines <- " CODE NAME
+ 1    3  aaa
+ 2    3  aab
+ 3    3  aac
+ 4    4  bba
+ 5    4  bbb
+ 6    4  bbc
+ 7    4  bbd
+ 8    5  cca
+ 9    5  ccb
+ "
> DF <- read.table(textConnection(Lines), header = TRUE, as.is = TRUE)
>
> DF$seq = ave(DF$CODE, DF$CODE, FUN = seq_along)
> tapply(DF$NAME, DF[c("CODE", "seq")], c)
    seq
CODE 1     2     3     4
   3 "aaa" "aab" "aac" NA
   4 "bba" "bbb" "bbc" "bbd"
   5 "cca" "ccb" NA    NA


On Sun, Sep 7, 2008 at 2:23 PM, Gellrich  Mario
<mario.gellrich at env.ethz.ch> wrote:
> Hi,
>
> I've got a question regarding the restructering of a data set. What I have are municipality zip-codes and the names of 5'000 built-up areas within municipalities. The following example shows, what I would like to do:
>
> Input (Zip-Codes and Names):
>
> #     CODE     NAME
> #1       3      aaa
> #2       3      aab
> #3       3      aac
> #4       4      bba
> #5       4      bbb
> #6       4      bbc
> #7       4      bbd
> #8       5      cca
> #9       5      ccb
>
> Desired Output (Zip-Codes and restructured names)
>
> #  CODE  V2    V3    V4    V5
> #1  3   aaa   aab   aac    NA
> #2  4   bba   bbb   bbc   bbd
> #3  5   cca   ccb   NA     NA
>
> I tougth about this problem several hours and tried functions like aggregate() and t() in combination with for-loops but didn't came to the output above. Can anybody help me?
>
> Best regards,
>
> Mario
>
>
>
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