The solution I offered does exactly that. It also addresses your other
supplemental request.
--
David (Dangerfield?)
On Nov 24, 2009, at 5:57 PM, Lisaj wrote:
I have a further question. If there is NA (missing data) in the
original
dataset, just like this:
id var1 var2
1 1 3
2 3 1
3 NA 1
4 1 2
5 2 3
how to deal with it? The converted dataset should be this:
id var1.1 var1.2 var2.1 var2.2
1 1 1 2 2
2 2 2 1 1
3 NA NA 1 1
4 1 1 1 2
5 1 2 2 2
Thanks.
Lisa
The
Henrique Dallazuanna wrote:
Try this:
cbind(x$id, t(do.call(rbind, lapply(x[-1], sapply, switch, '1' =
c(1,1), '2' = c(1, 2), '3' = c(2, 2)))))
On Tue, Nov 24, 2009 at 1:51 PM, Lisaj <lisa...@gmail.com> wrote:
Hello, R users,
I have a dataset that looks like this:
id var1 var2
1 1 3
2 3 1
3 2 1
4 1 2
5 2 3
I want to split one column to two columns with 1 = 1 and 1, 2 = 1
and 2,
3 =
2 and 2:
id var1.1 var1.2 var2.1 var2.2
1 1 1 2 2
2 2 2 1 1
3 1 2 1 1
4 1 1 1 2
5 1 2 2 2
Can anyone please help how to get this done? Thanks a lot in advance
Lisa
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______________________________________________
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PLEASE do read the posting guide
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--
Henrique Dallazuanna
Curitiba-Paraná-Brasil
25° 25' 40" S 49° 16' 22" O
______________________________________________
R-help@r-project.org mailing list
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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.
--
View this message in context:
http://old.nabble.com/Split-column-tp26498361p26504785.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.
David Winsemius, MD
Heritage Laboratories
West Hartford, CT
______________________________________________
R-help@r-project.org mailing list
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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.
