Folks,
I have the following data:
mdf<-structure(list(a = 1:3, b = c(10, 20, 30)), .Names = c("a", "b"
), row.names = c(NA, -3L), class = "data.frame")
And function:
defCurveBreak<-function(x, y) {
cumsum(rep(diff(c(0, x)), each = y)/y)
}
lapply'ing to get the result "foo"
foo<-data.frame(lapply(mdf, function(x, y) defCurveBreak(x,y), 4))
> foo
a b
1 0.25 2.5
2 0.50 5.0
3 0.75 7.5
4 1.00 10.0
5 1.25 12.5
6 1.50 15.0
7 1.75 17.5
8 2.00 20.0
9 2.25 22.5
10 2.50 25.0
11 2.75 27.5
12 3.00 30.0
Which all works fine.
I was wondering is there a way to do this using ddply? Is there a reason to do
this using ddply rather than the above idiom?
I spent a bunch of time trying to figure out how to set it up in ddply (is that
the wrong tool?) to no avail.
Thanks for your time,
Best,
KW
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