A dataframe holds 3 vars, each checked true or false (1, 0). Another
var holds the grouping, r and s:
### start:example
set.seed(20)
d - data.frame(sample(c(0, 1), 20, replace=T), sample(c(0, 1), 20,
replace=T), sample(c(0, 1), 20, replace=T))
names(d) - c(A, B, C)
e - rep(c(r, s), 10)
###
Hi,
You could use the reshape package:
d$e - e
recast(d, variable~e, fun=sum)
The doBy package is another option.
baptiste
On 8 Mar 2009, at 17:14, soeren.vo...@eawag.ch wrote:
A dataframe holds 3 vars, each checked true or false (1, 0). Another
var holds the grouping, r and s:
###
If you prefer to do it with base functions, you could start by
thinking about one column at a time, for which the tapply function is
a logical choice:
tapply(d[,A], e, sum)
r s
3 6
Then wrap that in an apply call that handles each column sequentially:
apply(d, 2, function (x) tapply(x, e,
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