How to apply a function to slices of multidimensional arrays, and not just iterating through single elements
If I well understand, maybe you have still apply at your disposal: arrayA <- 1:60 dim(arrayA) <- c(3,4,5) apply(arrayA, 2, sum) You have the same result of: res<-numeric(4);for (i in 1:4) res[i]<-sum(arrayA[,i,]) Ciao, domenico PS: have a look at plyr package for more "slicing" and "applying" functions
Todor Kondic wrote:
Hello,
If I want to apply some f(x) to such chunks of the the array
dim(A)==c(d1,d2,d3,..,dk,...,dn) which are defined by A[...,ik,...]
(ik belongs to {1,..,dk}), for now I use iteration via 'for (i in
dim(A)[k]) f(A[...,k,...])' . Is there any more elegant approach, e.g
like in 'apply' function which you can use on margin of the array.
Just in my case I want the entire slice defined by margin to be an
argument to my f(x), not just element-by-element.
If the former is too confusing:
A - array
dim(A)=c(3,4,5)
f(x) - function; x is argument dim(x)=c(3,5)
A has 4 slices of dim c(3,5)
I want my result to be a vector c( f(A[,1,]), f(A[,2,]), f(A[,3,]), f(A[,4,]) )
Until now I was doing 'for (i in 1:4) res[i]<-f(A[,i,])' . Is there a
more efficient way of doing this, maybe some predefined function?
Cheers,
TK
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