Hi all,
I think I'm cracking up. Please help me understand why I'm getting
different results with m.test and m.test2 in the example below.
> library(reshape)
Loading required package: plyr
>
> m.test <- data.frame(id = factor(rep(1:10, 2)),
> variable=rep(c("var1","var2"),10), value=rnorm(20))
> cast(m.test, ...~variable, value="value") ## cast is aggregating even though
> I have ... in the formula.
Aggregation requires fun.aggregate: length used as default
id var1 var2
1 1 2 0
2 2 0 2
3 3 2 0
4 4 0 2
5 5 2 0
6 6 0 2
7 7 2 0
8 8 0 2
9 9 2 0
10 10 0 2
>
> test2 <- data.frame(id=factor(1:10), var1=rnorm(10), var2=rnorm(1))
> m.test2 <- melt(test2, id="id")
> cast(m.test2, ...~variable, value="value") ## this is the result I want. I
> don't understand why I'm not getting the same thing for m.test.
id var1 var2
1 1 0.19829479 -0.642097
2 2 0.37971900 -0.642097
3 3 -0.23557248 -0.642097
4 4 0.12969246 -0.642097
5 5 -0.12019995 -0.642097
6 6 0.09744247 -0.642097
7 7 -1.24467558 -0.642097
8 8 1.69505449 -0.642097
9 9 1.60714925 -0.642097
10 10 0.11961170 -0.642097
Thanks,
--
Ista Zahn
Graduate student
University of Rochester
Department of Clinical and Social Psychology
http://yourpsyche.org
______________________________________________
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.
