Hi folks,
I'm trying to figure out how to get summarized data based on multiple
columns. However, instead of giving summaries for every combination of
categorical columns, I want it for each value of each categorical column
regardless of the other columns. I could do this with three different
commands, but i'm wondering if there's a more elegant way that I'm
missing. Thanks!
allie
> my_df = data.frame(a = c(1,1,1,0,0,0), b=c(0,0,0,1,1,1),
c=c(1,0,1,0,1,0), dat=c(10,11,12,13,14,15))
> my_df
a b c dat
1 1 0 1 10
2 1 0 0 11
3 1 0 1 12
4 0 1 0 13
5 0 1 1 14
6 0 1 0 15
> # not what I want
> ddply(my_df, .(a,b,c), function(x) c("mean"=mean(x$dat), "n"=nrow(x)))
a b c mean n
1 0 1 0 14 2
2 0 1 1 14 1
3 1 0 0 11 1
4 1 0 1 11 2
What I want:
a b c mean n
1 1 * * 11 3
2 * 1 * 14 3
3 * * 1 12 3
where "*" refers to any value of the other columns.
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