similar to: Reshape a sparse matrix

I'd like to have a three dimensional array of matrices. I thought I could construct a five dimensional array to have the three dimensional array of matrices. However, not all of the matrices in the array have the same dimensions, which seems to mean I can't use a five dimensional array. What I'd like is this: A = matrix(1:4,2,2) B = matrix(1:25,5,5) C = matrix(1,3,3) D =

I'd like to perform return variable assignments like matlab. For example, the following function would return A, B, and c to the script that called it. ================================= function [A,B,c] = simple(m,n) A=[ 3 2; 3 3] B=m c=1:n ================================= I'd like to do similar assignments in R, but I seem to be able to only return one variable. I tried to use a

Hello All, I have a Linux computer and do all of my work from it. However, I teach also, which means that many of my students use windows. Hence, I need to create packages that work under windows as well as Linux. I have tried to follow the directions at http://cran.r-project.org/doc/contrib/cross-build.pdf which is the document "Building Microsoft Windows Versions of R and R packages

I need to set up Rcmdr for use in a testing center that uses Windows. Since it is in a testing center, we don't want to have data saved, and want it cleared (or never saved) each time R or Rcmdr is run. The method I used to get Rcmdr to run automatically is to add the lines: ------------------------------------------------ defpack = getOption("defaultPackages") mylibs =

Hello, I am working with a sparse matrix that is approx. 13,900 by 14,100. My goal is to select a row out of the matrix and create a new matrix with that row repeated 13,900 times without having to do any looping. Example: Starting Matrix: exampleMatrix 3 x 4 sparse Matrix of class "dgCMatrix" [1,] 1 . . . [2,] . 1 . 0.5 [3,] . . 1 .. New Matrix:.. newExampleMatrix 3 x 4 sparse

Using the Matrix package, how can I create a row-oriented sparse Matrix from scratch populated with some data? By default a column-oriented one is created and I'm aware of the note that the package is optimized for column-oriented ones, but I'm only interested in using it for holding my sparse row-oriented data and doing basic subsetting by rows (even using drop=FALSE). Here is what I

Hi, I'm very new to working with sparse matrices and would like to know how I can column permute a sparse matrix. Here is a small example: > M1 <- > spMatrix(nrow=5,ncol=6,i=sample(5,15,replace=TRUE),j=sample(6,15,replace=TRUE),x=round_any(rnorm(15,2),0.001)) > M1 5 x 6 sparse Matrix of class "dgTMatrix" [1,] 2.983 . 1.656 5.003 . . [2,] .

>>>>> Henrik Bengtsson <henrik.bengtsson at gmail.com> >>>>> on Tue, 19 Apr 2016 14:04:11 -0700 writes: > Using the Matrix package, how can I create a row-oriented sparse > Matrix from scratch populated with some data? By default a > column-oriented one is created and I'm aware of the note that the > package is optimized for

For example, the following changes are necessary when i convert a Japanese hiragana into katakana in chattr. R code: > chartr("\u3041-\u3093","\u30a1-\u30f3","\u3084\u3063\u305f\u30fc") --- R-alpha.orig/src/main/character.c 2007-09-05 07:13:27.000000000 +0900 +++ R-alpha/src/main/character.c 2007-09-13 16:10:21.000000000 +0900 @@ -2041,6 +2041,16 @@

I mistakenly left a write in "/tmp" in the rockchalk package (version 1.8.109) that I uploaded last Friday. Kurt H wrote and asked me to fix today. While uploading a new one, I became aware of a problem I had not seen. The version I uploaded last Friday, 1.8.109, has OK status on all platforms except r-release-windows-ix86+x86_64. I get OK on oldrel-windows and also on devel-windows.

Hi, I have a 60k*600k matrix, which exceed the vector length limit of 2^32-1. But it's rather sparse, only 0.02% has value. So I save is as MarketMatrix (mm) file, it's about 300M in size. I use readMM in Matrix package to read it in. If do so, the data type becomes dgTMatrix in 'Matrix' package instead of the common matrix type. The problem is, if I run k-means only on part of

>>>>> "SH" == Scott Hyde <hydes at byuh.edu> >>>>> on Mon, 18 Jun 2007 16:59:00 -1000 (HST) writes: SH> Martin, How does Matrix implement augmented matrices? I SH> tried this and got the expected result: {Replying to R-help, since this question has come up several times } >> V=matrix(1,2,3) >> V=cbind(V,V)

Hi all, I am wondering if this is a bug in the Matrix package or if it something that I am just getting wrong...here is an example: > m = matrix(0,4,4) > dimnames(m) = list(letters[1:4], letters[5:8]) > r = c("a","b","a","d") > m[r,2] = 1 > m e f g h a 0 1 0 0 b 0 1 0 0 c 0 0 0 0 d 0 1 0 0 > M = Matrix(0,4,4) > dimnames(M) =

In the Matrix package v. 0.995-11 I see that the dgTMatrix Class for compressed, sparse, triplet-form matrices handles Identically indexed data instances by summing their values, e.g., library(Matrix) (Mt <- new("dgTMatrix", i = as.integer(c(0,0,1,1,4)), j = as.integer(c(0,1,2,2,4)), x = as.double(1:5), Dim = as.integer(c(5,5)))) ## 5 x 5 sparse Matrix of class

In the Matrix package v. 0.995-11 I see that the dgTMatrix Class for compressed, sparse, triplet-form matrices handles Identically indexed data instances by summing their values, e.g., library(Matrix) (Mt <- new("dgTMatrix", i = as.integer(c(0,0,1,1,4)), j = as.integer(c(0,1,2,2,4)), x = as.double(1:5), Dim = as.integer(c(5,5)))) ## 5 x 5 sparse Matrix of class

Dear Collegues, it seems like there is a problem with the image()-method in the package arules. Using an ordninary matrix works fine: image(matrix(rnorm(200), 10, 20), axes = FALSE, col=brewer.pal(9, "Blues") ) delivers an image with blue colors and no axes. Using an object of the class "associations" (arules package) does not work: image(items(ta.eclat), axes = FALSE,

all done! ... we will check through the format a bit and make some alterations, but the first version is available now... http://en.flossmanuals.net/theoracookbook http://www.lulu.com/content/7531795 212 pages of all you can eat free video :) adam -- Adam Hyde Founder FLOSS Manuals German mobile : + 49 15 2230 54563 Email : adam at flossmanuals.net irc: irc.freenode.net #flossmanuals

Hi guys, at least on amdgpu and radeon the page array allocated by ttm_dma_tt_init is completely unused in the case of DMA-buf sharing. So I'm trying to get rid of that by only allocating the DMA address array. Now the only other user of DMA-buf together with ttm_dma_tt_init is Nouveau. So my question is are you guys using the page array anywhere in your kernel driver in case of a

I have posted this message on r-lang, but it is perhaps more appropriate on r-devel: --- Hello, I'm puzzled by a problem with call to diag(), rowSums(), rownames() on objects of class "dgtMatrix", created by sparseMatrix() or spMatrix(). I use Matrix 0.999375-30. The weird thing is that I don't encounter any problem when I use this functions on the R prompt, or

Hi, Since I installed R 2.13 I cannot use the transpose method "t" on sparse matrices inside my package. Outside the package works. Is there something new that I have to import methods? Can I then import everything from the Matrix package? The problem is that R tries to use t.default which of course doesn't work. Happy easter, Tobias -- Tobias Abenius Ph.D. Student, M.Sc. in