similar to: using objects from different workspaces

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 <-

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

Hi every one, How is it possible to create a matrix with 3 dimensions from several 2 dimensional matrice? Is it possible that each of "elementary/building block" matrices could be called by its corresponding original name? Thanks alot. -- View this message in context:

Hi, I am working on some microarray data, and have some problems with writing iterations. In essence, the problem is that objects with three dimensions don't have rownames and colnames. These colnames and rownames would otherwise still be there in 2 dimensional objects. I need to generate multiple iterations of a 2 means-clustering algorithm, and these objects thus probably need 3

Hello I have a 2x10x200 matrix and I would like to bind to it another 2x10 matrix in order to end up with an 2x10x2001 matrix, which command should i use in order to do this? Thank you Felipe Parra [[alternative HTML version deleted]]

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

Hi, I would like to add rows to arbitrary tables within a 3dimensional array. I can directly add data to an existing row of a table: > x <- array(0,c(1,3,2))> x[,,1] <- c(1,2,3) And I can even add a row to the table and assign to another object. > y <- rbind(x[,,1], c(4,5,6)) and 'y' is what I want it to be:> y?? ? [,1] [,2] [,3][1,] ? ?1 ? ?2 ? 3[2,] ? ?4 ? ?5 ? 6 but

Hi, this is probably the easiest thing to do but I manage not finding the answer: I have a list with matrices of exact same format and headers. Now I would like to transform the list into an normal array. What is the proper way to do this? as.array changes the entire format and right now I only found the method of creating a new array, going through the entire list and copy the matrix in each

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

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'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

Hi list, Is there a easy way to compare objects in two different workspace files (i.e. .RData files) in R?? I can use some generic file compare softwares (e.g. BeyondCompare) to binary comparison, but when it says they're different you can't tell where the difference are from. Thanks! Tao

Hi, I need to do several matrix multiplications with the corresponding matrices forming two 3-dimentional arrays. To illustrate my problem, let's say I have the following 3-dimensional arrays: array1 <- array(1:30,dim=c(3,2,5)) array2 <- array(1:20,dim=c(2,2,5)) I know that I can get what I want with the following computation : result <- array(dim=c(dim(array1)[1],

- unreference state objects so that buffer objects are unreferenced and eventually destroyed - free channel at screen's destruction Index: nv50/nv50_screen.c =================================================================== --- nv50/nv50_screen.c (wersja 32083) +++ nv50/nv50_screen.c (kopia robocza) @@ -162,7 +162,22 @@ nv50_screen_destroy(struct pipe_screen *pscreen) { struct

How do people go about synchronizing multiple workspaces on different workstations? I tend to wind up with projects spread around the various machines I work on. I find that placing the directories on a server and reading them remotely tends to slow things down. thanks, Eric -- Eric Turkheimer, PhD Department of Psychology University of Virginia PO Box 400400 Charlottesville, VA 22904-4400

I have a four-dimensional array. I have a three-dimensional array I want to add to it. My particular problem is conceptually very simple because the new array is just going to go into the end of the 4D array; i.e. will be added into the final index. I think I have seen an R command that can do this in one shot, but for the life of me, I can't find it again. Am I making this up, or is there

Hi all, I've been trying to work out how to slice an array of arbitrary dimension. I found a message showing how to stick two arrays together, but so far have been unable to transform that into what I need. Assume that I have a four dimensional array for example: array4d , , 1, 1 [,1] [,2] [1,] 3 6 [2,] 1 1 , , 2, 1 [,1] [,2] [1,] 4 7 [2,] 8 7 , , 1, 2

Hello: I'm reading in a series of text files (100 files that are each 2000 rows by 6 columns). I wish to combine the columns (6) of each file (100) and get the row mean. I'd like to end up with a data.frame of 2000 rows by 6 columns. foo <- list() for(i in 1:10){ # The real data are read in from a series of numbered text files foo[[i]] <- data.frame(x1 = rnorm(100), x2 =

An user is using 2 displays and configured Gnome to "Static Workspaces only on primary display on" using gnome-tweak-tool Till 7.2 it was working as expected. After upgrading to 7.3 the content on the primary screen gets mirrored to all workspaces. When switching to "Static Workspaces only on primary display off" everything is working as expected on 7.3, too. Any ideas?

Hi, I have a new install of c7 with the gnome desktop. I run it with 12 workspaces. Normally I create the shortcuts so that ctrl+f1 maps to workspace 1 ctrl+f2 maps to f2, etc. When I goto applications -> settings -> keyboard -> shortcuts -> navigation, I only have the ability to define "Switch to workspace" 1 through 4. There does not appear to be a way to map keyboard