similar to: install packages from intranet

Dear R-users, we are using library(snow) for computation on a linux cluster with RMPI. We have a problem with clusterEvalQ: after launching clusterEvalQ it seems loading the required library on each node but if we type a function belonging to the loaded package R doesn't find it. > library(snow) # making cluster with 3 nodes > cl <- makeCluster(3, type = "MPI") Loading

Hi everybody, I have trouble in installing packages from source code by following Section 5.1 in manual R-admin.pdf . I am using R 2.1.0 and Win NT. Following the Windows toolset section in the manual, I download the tool set package from: http://www.murdoch-sutherland.com/Rtools/tools.zip and unzip under C:\tools I also downloaded Perl (Windows Port) and installed it.

Hi everyone I've been playing with do.call() but I'm having problems understanding it. I have a list of "n" elements, each one of which is "d" dimensional [actually an n-by-n-by ... by-n array]. Neither n nor d is known in advance. I want to bind the elements together in a higher-dimensional array. Toy example follows with d=n=3. f <-

Dear list, Is there a generalised form of rbind/cbind for combining matrices/arrays into higher-D structures? ie. if I have: a <- matrix(2,2,2) b <- matrix(3,2,2) how can I get array(rep(c(3,2), each=4), c(2,2,2)) ? It seems like this would be the job of a generalised abind function: abind(a,b, along=1) == rbind(a,b) abind(a,b, along=2) == cbind(a,b) abind(a,b, along=3)

### I got bit again by the same bugs I wrote about a year ago. ### The bugs are related to matrices and arrays of lists. ### 1. There is a clear inconsistency in how R handles two ### functionally equivalent statements. ### array() is able to take a list and create a matrix. ### matrix() is unable to create that matrix. > vector("list", 2) [[1]] NULL [[2]] NULL >

I'm attempting to generalise a function that reads individual list components, in this case they are matrices, and converts them into 3 dimensional array. I can input each matrix individually, but want to do it for about 1,000 of them ... This works array2 <- abind(list1[[1]],list1[[2]],list1[[3]],along=3) This doesn't array2 <- abind(list1[[1:3]],along=3) This doesn't either

Dear R Help Community, I have a question and an answer (based on reading this forum and online research), but I though I should share both since probably there's a much better way to go about my solution. My question is specifically about how to best visualise multiple response contingency tables. What I mean by 'multiple response' is that the total number of responses per row of a

Must packages in the Depends field of the DESCRIPTION file have NAMESPACES? I haven't seen this explicitly indicated anywhere. I am writing a small package and find that when I add the abind package to the list of the Depends field, I get an error in R CMD check of the build. * checking package name space information ... OK * checking package dependencies ... ERROR Packages required but not

(resent as hotmail really cannot format plaintext, but I've just read Tony Plate's message that what I'd like to do might not be possible) > > library(abind) ## array binding I've looked into using abind() but it seems I might not understand it properly. I can build my 2 table array and insert a row into each table using: x <- array(0,c(1,3,2)) x[,,1]

I'm trying to massage some data from Matlab into R. The matlab file has a "struct array" which when imported into R using the R.matlab package, becomes an R list with 3+ dimensions, the first of which corresponds to the structure fields, with corresponding row names, and the second and third+ dimensions correspond to the dimensions of the original struct array (as matlab

If I have 2 n-dimensional arrays, how do I compose them into a n+1-dimension array? Is there a standard R function that's something like the following, but that gives clean errors, handles all the edge cases, etc. abind <- function(a,b) structure( c(a,b), dim = c(dim(a), 2) ) m1 <- array(1:6,c(2,3)) m2 <- m1 + 10 abind(m1,m2) ==> , , 1 [,1] [,2] [,3] [1,] 1 3 5

Continuing to try to customize my environment for using R under Windoze, I experimented with installing a package from CRAN in a local library ``Lib''. I created the directory ``Lib'' in the folder in which R starts, and then executed > install.packages("abind",lib="Lib") Everything went according to form (I got prompted to choose a mirror, etc.) until

Ok I warned you that I'd been drinking! What I really meant was something to go from: [,1] [,2] [1,] 1 2 [2,] 4 3 to [,1] [,2] [1,] 4 1 [2,] 3 2 to [,1] [,2] [1,] 3 4 [2,] 2 1 to [,1] [,2] [1,] 2 3 [2,] 1 4 Sorry for being a muppet, B Begin forwarded message: > From: Benjamin Lloyd-Hughes

I am trying to combine two arrays with different dimensions into one. For example The first one is 1 2 3 4 5 6 The second one is 7 8 9 10 The resulted one would be like , , 1 1 2 3 4 5 6 , , 2 7 8 9 10 I used abind to do this, but failed. Could somebody please let me know how to do this in R? Thanks so many. Suyan

Hello, Working with Windows 7 in a HP laptop with R-2.10.1 I download and installed ImageMagick-6.3.7.7-Q16-Windows-dll.exe and GTK 2.12.9-win32-2, then downloaded and installed from local file EBImage_3.2.0.zip and I got: > library(EBImage) Loading required package: abind Error in inDL(x, as.logical(local), as.logical(now), ...) : unable to load shared library

Hi, I have two 3 D arrays. Both are of this form array_1<- array[n,n,k] array_2<-array[m,m,k] Lets say n=83 and m=80 Since n>m. I would like to add rows and columns to array_2 to make them equal. I want to keep the size of the third dimension fixed i.e.. k. i.e. if (nrow(array_1)>nrow(array_2)) { array_2[m:n,m:n,]<- 10^6 } But this doesn't work. I tried abind and rbind but

Hello, I just tried to get Rcmdr package working, resulting in: ---------------------------------------------------------------------- > library(Rcmdr) Loading required package: tcltk Loading required package: lattice Loading required package: foreign Loading required package: abind Loading required package: lmtest Loading required package: multcomp Loading required package: relimp Loading

Hi all, I'm seeing an error on Windows when I try to install a package to a package library path that starts with a digit. I can reproduce the error as follows using R-devel from Feb 24 on Windows advanced server: badLib = "c:\\badExample\\2\\foo" dir.create(badLib, recursive=TRUE) z = .libPaths() z = .libPaths(c(badLib, z)) z [1] "c:\\badExample\\2\\foo"

When I type library() to see what is installed the following list in RED comes up. Packages in library '/home/jason/R/i686-pc-linux-gnu-library/2.13': abind Combine multi-dimensional arrays aplpack Another Plot PACKage: stem.leaf, bagplot, faces, spin3R, and some slider functions biglm bounded memory linear and

I recently started using R 2.14.0 on a new machine and i am experiencing what seems like unusually greedy memory use. It happens all the time, but to give a specific example, let's say i run the following code -------- for(j in 1:length(files)){ load(file.path(dump.dir, files[j])) mat.data[[j]]<-data } save(abind(mat.data, along=2), file.path(dump.dir, filename)) ---------