Is this what you are looking for in doing computations on the columns
of a dataframe?
> x <-
data.frame(group=sample(1:2,10,TRUE),A=sample(1:4,10,TRUE),B=sample(1:5,10,TRUE),
+ C=sample(1:3,10,TRUE))> x
group A B C
1 1 2 4 1
2 2 4 1 2
3 1 3 2 1
4 2 3 2 2
5 2 4 2 2
6 1 2 5 1
7 2 1 5 2
8 1 1 5 3
9 1 4 3 2
10 2 2 1 1> # sum in each column
> aggregate(x[,-1], list(x$group), sum)
Group.1 A B C
1 1 12 19 8
2 2 14 11 9> # count greater than 2
> aggregate(x[,-1], list(x$group),function(.col) sum(.col>2))
Group.1 A B C
1 1 2 4 1
2 2 3 1 0>
>
On Jan 26, 2008 9:13 AM, Anders Bj?rges?ter <abjrges at getmail.no>
wrote:> Hello
>
> Is there an analogous function to "rowsum" that count the numbers
> according to a given vector (preferably larger than a given value)
> instead of summing them?
>
> E.g. rowsum(x, group)
>
> X is the dataframe, A B C
> 5 0 0
> 1 3 3
> 0 1 12
> and group is the vector; 1,1,2
>
> rowsum gives: A B C
> 1 6 3 3
> 2 0 1 12
>
>
> I want: A B C
> 1 2 1 1
> 2 0 1 1
>
> for e.g. count all > 0.
>
> Best Regards
> Anders
>
> ______________________________________________
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> and provide commented, minimal, self-contained, reproducible code.
>
--
Jim Holtman
Cincinnati, OH
+1 513 646 9390
What is the problem you are trying to solve?