similar to: sparseM and kronecker product_R latest version

Dear all, do you know if there is any particular version of R to implement with windows 64 bit, in such a way to increase the amount of memory it can use? How should I increase the memory, and more importantly to set a higher max vector size? It still stops me saying "Could not allocate vector of size 145" thanks to all alessia

Dear all, I 'm implementing the koenker procedure for quantile fixed effects. I would like also to apply weights to the procedure, so that to give more weight to the observation that better represent my original sample (much larger than it is possible to use in R). Do you know if it is possible? How could I solve this problem? Thank you alessia

All, Consider: BagA <- c(-1000,10,10,10,10,10,10, 10,20,20,20,20,20,20,30, 30,40,40,50,60) BagB <- c(10,20,30,30,40,40,50,50, 50,50,50,50,60,60,60,60, 60,60,60,1000) layout(c(2,1)) barplot(table(BagB)) barplot(table(BagA)) At this point, I'd like to arrange the plots so that the 10-bars are aligned, the 20-bars are aligned, etc. So, I started

Greetings all, I am getting this error that is driving me nuts... (not a long trip, haha) I have a set of files and in these files I want to calculate ttests on rows 'compareA' and 'compareB' (these will change over time there I want a variable here). Also these files are in many different directories so I want a way filter out the junk... Anyway I don't believe that this is

Dear R useRs, i have the following code to compute values needed for a contour plot ############################################################ "myContour" <- function(a, b, plist, veca, vecb, dim) { tmpb <- seq(0.5 * b, 1.5 * b, length=dim) tmpa <- seq(0.5 * a, 1.5 * a, length=dim) z <- matrix(0, nrow=dim, ncol=dim) for(i in 1:dim) { for(j in 1:dim)

Hi, I am very new to R and wanted to know if there is a package that, given very long nucleotide sequences, searches and identifies short (7-10nt) motifs.. I would like to look for enrichment of certain motifs in genomic sequences. I tried using MEME (not an R package, I know), but the online version only allows sequences up to MAX 60000 nucleotides, and that's too short for my needs..

I'd like to have two packages with S4 classes with the same name but different implementation. To that end I create a package tmpA with setClass("A", representation=representation( x="numeric"), sealed=TRUE) setClass("B", representation=representation( x="numeric")) B <- function(...)

kronecker, with make.dimnames=TRUE uses a hardwired sep=":" in the line tmp <- outer(dnx[[i]], dny[[i]], FUN = "paste", sep = ":") For an application in which dimnames arise from an n-way array, where different dimensions have different roles, and I would like to be able to use kronecker in the form kronecker(A, B, make.dimnames=TRUE,

I'm trying to calculate the row-wise kronecker product A \Box B of two sparse matrices A and B, and am struggling to find a quick way to do this that takes advantage of sparseness. I thought a good idea would be to use "rep" to construct 2 matrices of the same dimension of the end product, and multiply these two together: library(Matrix) A<-Matrix(c(1,0,0,0,0,1,2,0), 2, 4)

For an application, I have formulas defined in terms of a left Kronecker product of matrices, A,B, meaning A \otimes_L B = {A * B[i,j]} -- matrix on the left multiplies each element on the right. The standard kronecker() function is the right Kronecker product, A \otimes_R B = {A[i,j] * B} -- matrix on the right multiplies each element on the left. The example below shows the result of

Dominic Hamon wrote: > Duncan Sands wrote: >>> Another option that was discussed in #llvm is to nuke LLVMBuilder >>> and rename LLVMFoldingBuilder to LLVMBuilder. If this was the case, >>> I'd argue for a flag in the Builder that could retain the old >>> non-folding functionality for debugging purposes. >>> >> >> this plan

Dear All, Could someone please suggest how to find the Kronecker sum of two 2x2 matrices, i.e. given two matrices: -A A a -a and -B B b -b I need: -A-B A B 0 a -a-B 0 B b 0 -A-b A 0 b a -a-b Many thanks, Lara [[alternative HTML version deleted]]

Hi I want to write a little function that takes a matrix X of size m-by-n, and a list L of length "m", whose elements are matrices all of which have the same number of columns but possibly a different number of rows. I then want to get a sort of dumbed-down kronecker product in which X[i,j] is replaced by X[i,j]*L[[j]] where L[[j]] is the j-th of the "m" matrices. For

Hi I'm using kronecker() with a matrix and a vector. I'm interested in the column names that kronecker() returns: > a <- matrix(1:9,3,3) > rownames(a) <- letters[1:3] > colnames(a) <- LETTERS[1:3] > b <- c(x=1,y=2) > kronecker(a,b,make.dimnames=TRUE) A: B: C: a:x 1 4 7 a:y 2 8 14 b:x 2 5 8 b:y 4 10 16 c:x 3 6 9 c:y 6 12 18 > The

`outer` (and related functions like kronecker) require that their functional argument operate elementwise on arrays. This means for example that outer( 1:2, 3:4, list) or outer(1:2,3:4,function(a,b){1}) gives an error. Is there a version of `outer`/`kronecker`/etc. that takes arbitrary functions and does its own elementwise mapping? In the first example above, I'd expect the

Hello, I am trying to load the package SparseM. It seems that I have successfully installed SparseM (version 0.78), but I did not succeed in loading the SparseM package into R 2.7. Does anybody know a trick for loading SparseM? Thanks in advance, Heike > library(SparseM,lib.loc=my.lib.loc) Error in packageDescription(pkg)$Version : $ operator is invalid for atomic vectors In addition:

I'm having trouble loading the package SparseM in R 1.8.1, OS = Windows 2000. Installing appeared to go well; I saw no error messages, html documentation was installed, and "installed.packages()" lists SparseM among the installed packages. When I try to load the library, however, I get the following: > library(SparseM) Error in slot(mlist, "argument") : Can't get

I have recently started using R and want to use the quantreg (and sparseM) packages. I downloaded the .tar files for each, and placed the subsequent folders into the library folder in the frameworks/R.framework/ resources/library folder with all the other packages. When I try to load either package from the package manager window I get: Loading required package: SparseM Error in

Duncan Sands wrote: >> Another option that was discussed in #llvm is to nuke LLVMBuilder and >> rename LLVMFoldingBuilder to LLVMBuilder. If this was the case, I'd >> argue for a flag in the Builder that could retain the old non-folding >> functionality for debugging purposes. >> > > this plan sounds good to me. However it's not clear to me how

Full_Name: David Pleydell Version: 2.2.1 OS: Debian Etch Submission from: (NULL) (193.55.70.206) There appears to be a conflict between the chol functions from the Matrix and the SparseM packages. chol() can only be applied to a matrix of class dspMatrix if SparseM is not in the path. with gratitude David > library(Matrix) > sm <- as(as(Matrix(diag(5) + 1), "dsyMatrix"),