Hi Bastien,
You can use match(), or the convenience function %in%, like this
(assuming your data.frame is named "dat"):
subset(dat, ESS %in% c("EPB","SAB"))
dat[dat$ESS %in% c("EPB","SAB"), ]
best,
Ista
On Fri, Sep 17, 2010 at 1:02 PM, Bastien Ferland-Raymond
<bastien.ferland-raymon...@ulaval.ca> wrote:
> DearR Users,
>
> I have a problem which I think you might be able to help. I have a dataframe
> which I'm trying to "filter" following different groups I specified. It's a
> little hard to explain, so here is an example:
>
> My dataframe:
>
> ESS DHP
> 1 EPB 22
> 2 SAB 10
> 3 SAB 20
> 4 BOJ 14
> 5 ERS 28
> 11 SAB 10
> 12 SAB 22
> 13 BOJ 26
> 20 SAB 10
> 21 SAB 22
> 22 BOJ 32
> 29 SAB 14
> 30 SAB 22
> 38 SAB 14
> 47 SAB 18
>
> I'm trying to filter it by selecting a subgroup of ESS, for example:
> softwood<- c("EPB","SAB")
>
> So I can obtain:
> NEW dataframe:
> ESS DHP
> 1 EPB 22
> 2 SAB 10
> 3 SAB 20
> 11 SAB 10
> 12 SAB 22
> 20 SAB 10
> 21 SAB 22
> 29 SAB 14
> 30 SAB 22
> 38 SAB 14
> 47 SAB 18
>
> (my real groups are actually bigger and so are my dataframe but you get the
> idea).
>
> I have looked at subset and aggregate but it doesn't work and the loop would
> be totally inefficient. I'm sure there is a function in R that does something
> like that but I couldn't find the proper "keyword" to search for it.
>
> Thanks for your help,
>
> Bastien
> ______________________________________________
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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.
>
--
Ista Zahn
Graduate student
University of Rochester
Department of Clinical and Social Psychology
http://yourpsyche.org
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