OK, I think I figured it out (each level of id corresponds to only one
level of variable in m.test).
Thanks,
Ista
On Mon, Jan 25, 2010 at 4:59 PM, Ista Zahn <iz...@psych.rochester.edu> wrote:
> 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
>
--
Ista Zahn
Graduate student
University of Rochester
Department of Clinical and Social Psychology
http://yourpsyche.org
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