search for: iappli

Dear all, I have been working on an idempotent version of apply, such that applying a function f(x) = x (ie. force) returns the same array (or a permutation of it depending on the order of the margins): a <- array(1:27, c(2,3,4)) all.equal(a, iapply(a, 1, force)) all.equal(a, iapply(a, 1:2, force)) all.equal(a, iapply(a, 1:3, force)) all.equal(aperm(a, c(2,1,3)), iapply(a, 2, force))

Reading the documentation for 'apply', I understand the following is working exactly as documented: > M<-matrix(1:6,ncol=2) > M [,1] [,2] [1,] 1 4 [2,] 2 5 [3,] 3 6 > apply(M,2,function(column) column+c(1,2,3)) [,1] [,2] [1,] 2 5 [2,] 4 7 [3,] 6 9 > apply(M,1,function(row) row+c(1,2)) [,1] [,2] [,3] [1,] 2 3 4

Can you please help on the issue? I using the apply command on a matrix below the example: Create a vector x =c(5, 3, 2:4, NA, 7, 3, 9, 2, 1, 5) create a matrix of 2 rows by 6 columns b=matrix(x, 2,6) print(b) [,1] [,2] [,3] [,4] [,5] [,6] [1,] 5 2 4 7 9 1 [2,] 3 3 NA 3 2 5 using the command apply print(apply(b, 1, function(y) sort(y, na.last=F))) the

Reshape 0.7 =================== Reshape is an R package for flexibly restructuring and aggregating data. It is inspired by Excel's pivot tables, and it makes it very easy to view your data the way you want. The reshape package (along with ggplot) received the John Chambers Award for Statistical Computing. You can find out more at http://had.co.nz/reshape. Reshape (hopefully) makes it easy

Reshape 0.7 =================== Reshape is an R package for flexibly restructuring and aggregating data. It is inspired by Excel's pivot tables, and it makes it very easy to view your data the way you want. The reshape package (along with ggplot) received the John Chambers Award for Statistical Computing. You can find out more at http://had.co.nz/reshape. Reshape (hopefully) makes it easy

Hi, I know we can use 1:10 to represent the 1,2,3,...,10 numbers, but the following conditions are except. Anybody knows how to represent the following two cases with similar usage of ":" or others? Usually, i will get several hundred names for them, such as a1,a2,... or f[[1]],f[[2]],... #Example data a1<-array(1:12,c(2,3,2)); a2<-array(2,c(2,3,2)); a3<-array(0,c(2,3,2))

I am trying to divide the columns of a matrix by the first row in the matrix. I have tried to get this using apply and I seem to be missing a concept regarding the apply w/o calling a function but rather command args %*% / etc. Would using apply be more efficient than this approach? I have observed examples in the archives using this type of approach. Does anybody have a snippet of a call