Hi:
Try this:
INDIVIDUAL <- transform(INDIVIDUAL, IDHOUS = IDPERS %/% 100)
merge(INDIVIDUAL, HOUSHOLD, by = c('IDHOUS', 'T'))
IDHOUS T IDPERS SEX PC02 GHS Single COM2 NBPERS NBKID
1 41 1 4101 1 9 1 NA 2 5 3
2 41 1 4102 2 0 0 NA 2 5 3
3 41 2 4101 1 10 1 NA 2 5 3
4 41 2 4102 2 5 1 NA 2 5 3
5 41 3 4101 1 10 1 NA 2 5 3
6 41 3 4102 2 3 0 NA 2 5 3
7 41 4 4101 1 10 1 NA 2 5 3
8 41 4 4102 2 9 1 NA 2 5 3
9 51 1 5101 1 8 1 NA 2 1 0
10 51 2 5101 1 8 1 NA 2 1 0
11 51 3 5101 1 8 1 NA 2 1 0
12 51 4 5101 1 8 1 NA 2 1 0
HTH,
Dennis
On Tue, Oct 25, 2011 at 9:43 AM, ManuelS <steiner-man...@web.de> wrote:
> Hi,
>
> I'm working with panel data from the Swiss Houshold Panel (SHP). The data i
> got came in the following way:
> 1.) 12 *different* /individual/ files - one for each year .
> 2.) 12 *different* /houshold/ files - again: one for each year
>
> Each file came in the SPSS format (.sav). I implemented all the files in R
> an managed (via rename, cbind, rbind, merge etc.) to get *two* files.
> The first file is a combination of all 12 /individual/ files orderd by
> IDPERS (unique individual identification) and T (=Time 1...12)
> The second file contains all houshold waves (1-12) and is orderd by IDHOUS
> (unique houshold identification) and T (=1...12).
>
> Now, to the problem:
> As the following except shows: the individual id used in the individual file
> (IDPERS) is derived from the houshold id (IDHOUS).
>
>>head(INDIVIDUAL,20)
> IDPERS T SEX PC02 GHS Single
> 1 4101 1 1 9 1 NA
> 2 4101 2 1 10 1 NA
> 3 4101 3 1 10 1 NA
> 4 4101 4 1 10 1 NA
> .
> .
> .
> 13 4102 1 2 0 0 NA
> 14 4102 2 2 5 1 NA
> 15 4102 3 2 3 0 NA
> 16 4102 4 2 9 1 NA
> .
> .
> .
> 26 5101 1 1 8 1 NA
> 27 5101 2 1 8 1 NA
> 28 5101 3 1 8 1 NA
> 29 5101 4 1 8 1 NA
>
>
>> head(HOUSHOLD,20)
> IDHOUS T COM2 NBPERS NBKID
> 1 41 1 2 5 3
> 2 41 2 2 5 3
> 3 41 3 2 5 3
> 4 41 4 2 5 3
> .
> .
> .
> 13 51 1 2 1 0
> 14 51 2 2 1 0
> 15 51 3 2 1 0
> 16 51 4 2 1 0
>
> I want to merge the two files (data.frames) according to their ID's and the
> time dimension T. Since IDHOUS and IDPERS are not the same I cannot use
> /merge() /. Doing the task "by hand" in a excel spread sheet or any
> equivalent is possible but would probably take ages.
> So my question is:
>
> Does anyone know a way, a command, a trick to merge two files whose columns
> are different but follow a pattern as described above?
>
> I am gratful for any kind of input.
>
> Manuel Steiner
>
>
> --
> View this message in context:
> http://r.789695.n4.nabble.com/merging-to-data-frames-whose-columns-are-different-but-follow-a-pattern-tp3937376p3937376.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> R-help@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
