Hi Laura,
Usually this kind of thing is easier if you put your data into a "long"
format. I would use something like
Dat <- read.table(textConnection("subject A B C D E
1 cat monkey cat dog cat
2 cat cat cat cat dog"), header=TRUE)
library(reshape)
m.Dat <- melt(Dat, id="subject")
xtabs(~subject+value, m.Dat)
value
subject cat monkey dog
1 3 1 1
2 4 0 1
but you could use the reshape function instead of reshape::melt.
-Ista
On Fri, Apr 16, 2010 at 7:18 AM, Laura Ferrero-Miliani <laur...@gmail.com>wrote:
> Hi everyone!
> I am very new to R and I am having some difficulties.
> My data set looks something like this:
>
> subject A B C
> D E
> 1 cat monkey cat
> dog cat
> 2 cat cat cat
> cat dog
> ....
>
> I want to create three new variables, that count the amount of "cat",
> "monkey" and "dog" per subject
>
> subject A B C
> D E cat dog monkey
> 1 cat monkey cat
> dog cat 3 1 1
> 2 cat cat cat
> cat dog 4 1 0
> ....
>
> I have been looking at rowSums, rowsum, apply, grep, and doing some
> searches, but I can only find count for numerical values or NA values.
>
> Thanks in advance,
>
> L
>
> ______________________________________________
> 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.
>
--
Ista Zahn
Graduate student
University of Rochester
Department of Clinical and Social Psychology
http://yourpsyche.org
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