apply on function with vector as result

This would be a whole lot easier if we had a reproducible example,
or at least knew what your output data actually looked like, and an
example of what you *wanted* it to look like.

For instance, I'm confused by your description of your output data:

c(c(1,2), c(3,4))

[1] 1 2 3 4

c(c(), c()) is a single vector already.

But when I try an approximation of your non-reproduclble example, that's
not what I get anyway. I get the expected matrix:

myfunc <- function(x) {a=x; b=x-1; c(a, b) }
ys <- sapply(1:5, myfunc)
ys

[,1] [,2] [,3] [,4] [,5]
[1,]    1    2    3    4    5
[2,]    0    1    2    3    4

And from there, it's not at all clear what you mean by "one vector" -
in what order? All of the a then all of the b values? abab?

as.vector(ys) and as.vector(t(ys)) will accomplish those.

Or do you mean simply
as <- ys[1,]
bs <- ys[2,]

But all this is academic since I don't know what your data look like, really.

Sarah

Hi,

a have some code like

myfunc <- function(x) { ...; ?return c(a,b) }

ys <- sapply(0:100,myfunc)

so I get something like c(c(a1,b1),c(a2,b2),...)

But now I need the "as" and "bs" in one vector

as <- apply(ys, function(c(a,b)) a)
bs <- apply(ys, function(c(a,b)) b)

Can you help me with the correct syntax, instead of my pseudo code?

thx
Christof

Sarah Goslee
http://www.functionaldiversity.org