similar to: Matrix - querying dsCMatrix how to save it

I have library in development with a function that works when called from the top level, but fails under R CMD check. The paricular line of failure is rsum <- rowSums(kmat>0) where kmat is a dsCMatrix object. I'm currently stumped and looking for some ideas. I've created a stripped down library "ktest" that has only 3 functions: pedigree.R to create a pedigree or

I have been playing around with sparse matrices in the Matrix package, in particularly with the Cholesky factorization of matrices of class dsCMatrix. And BTW, what a fantastic package. My problem is that I have to carry out repeated Cholesky factorization of a spares symmetric matrices, say Q_1, Q_2, ...,Q_n, where the Q's have the same non-zero pattern. I know in this case one does

Friends I'm not seeing why the following occurs: > T1 <- (A1 - A2) %*% D > T2 <- (A1 %*% D) - (A2 %*% D) > identical(T1, T2) [1] FALSE Harold > dput(A1) new("dsCMatrix" , i = c(0L, 1L, 2L, 3L, 0L, 1L, 4L, 2L, 3L, 5L) , p = c(0L, 1L, 2L, 3L, 4L, 7L, 10L) , Dim = c(6L, 6L) , Dimnames = list(NULL, NULL) , x = c(5, 5, 5, 5, 5, 5, 10, 5, 5, 10)

Reasonably easy to avoid, but maybe an edge case that should be handled? Haven't looked yet to see how easy it would be to fix ... Am I missing something? > library(Matrix) > m <- Matrix(0,nrow=3,ncol=3) > m 3 x 3 sparse Matrix of class "dsCMatrix" [1,] . . . [2,] . . . [3,] . . . > image(m) Error in seq.default(zrng[1], zrng[2], length.out = cuts + 2) :

I want to create a sparse matrix of type "dgCMatrix" using the Matrix package (and the matrix must be of this type even if other more compact representations may exist). I do > library(Matrix) > m1<-Matrix(rep(1,4),nrow=2,ncol=2,sparse=T) > m1 2 x 2 sparse Matrix of class "dsCMatrix" [1,] 1 1 [2,] 1 1 To convert m1, I do > as(m1, "dgCMatrix")

Hi, we have installed R-2.8.1 using the current pgi compiler (8.0.2) for AMD64 on a SLES9 system. When I try to install "Matrix" everything is fine until the last step. make[1]: Leaving directory `/tmp/R.INSTALL.TW3399/Matrix/src/AMD' pgCC -L/usr/lib64 -L/usr/X11R6/lib64 -pgf90libs -o Matrix.so CHMfactor.o Csparse.o TMatrix_as.o Tsparse.o init.o Mutils.o chm_common.o

64-bit R-2.12.0 was installed on Sun SPARC Solaris 10. Compiler used is solstudio12.2. Attached is the configure script. I then tried to install a recommended package called Matrix. The compilation failed with the following messages, ....... CC -library=stlport4 -G -L/opt/csw/lib/sparcv9 -L/opt/solstudio12.2/prod/lib/v9 -o Matrix.so CHMfactor.o Csparse.o TMatrix_as.o Tsparse.o init.o Mutils.o

Dear all, i'm using gdistance to model animal movement across landscape. I have imported 11 rasters with roads, freeways, slope, use-of-land, lakes (...) after recoding them with GRASS with a HSI value ranging from 1 to 4. I've assigned zero to the NAs and then transformed all the rasters in TransitionLayers (function=mean,directions=4) and later summed all of them into a new transition:

I am trying to estimate a covariance matrix from the Hessian of a posterior mode. However, this Hessian is indefinite (possibly because of numerical/roundoff issues), and thus, the Cholesky decomposition does not exist. So, I want to use a modified Cholesky algorithm to estimate a Cholesky of a pseudovariance that is reasonably close to the original matrix. I know that there are R packages that

Dear Developers, motivated by the new Sun Studio checks I compiled R-devel and several of our packages with Sun Studio 12 on Fedora x64. Everything worked fine and R-devel runs, with the exception of package Matrix where compilation crashes with the following message. The error occurs during building of the recommended packages and also if Matrix is compiled separately: [...] CC -G -lCstd

On 23/04/2018 6:33 AM, Peter Simons wrote: > Hi, > > I just tried to upgrade Nixpkgs to R 3.5.0, but unfortunately the new > version fails its regression test suite. We configure the build using > the flags "--without-recommended-packages", in case that's relevant. You > can see a complete build log with all relevant information at [1]. > Anyway, the test

Hi, I just tried to upgrade Nixpkgs to R 3.5.0, but unfortunately the new version fails its regression test suite. We configure the build using the flags "--without-recommended-packages", in case that's relevant. You can see a complete build log with all relevant information at [1]. Anyway, the test failures look like this: | make[3]: Entering directory

Hi all, I have trouble to compile Matrix packages on Solar10 x86-64 with Sun compilers. I saw some postings on this but am not sure how to solve this problem. It is becoming critical as I cannot install biocLite() because of its dependency on Matrix. Could you direct me how to resolve the issue? Thanks in advance! Dongseok R version 2.8.1 (2008-12-22) Copyright (C) 2008 The R Foundation for

How to optimize the for-loop to be reasonably fast for sample.size=100000000 ? You may want to change sample.size=1000 to have an idea what I am achieving. set.seed(143) A <- matrix(sample(0:1, sample.size, TRUE), ncol=10, dimnames=list(NULL, LETTERS[1:10])) B <- list() for(i in 1:10) { B[[i]] <- apply(combn(LETTERS[1:10], i), 2, function(x) { sum(apply(data.frame(A[,x]), 1,

Hi everyone: I try to use r to do the Cholesky Decomposition,which is A=LDL',so far I only found how to decomposite A in to LL' by using chol(A),the function Cholesky(A) doesnt work,any one know other command to decomposte A in to LDL' My r code is: library(Matrix) A=matrix(c(1,1,1,1,5,5,1,5,14),nrow=3) > chol(A) [,1] [,2] [,3] [1,] 1 1 1 [2,] 0 2 2

Hi all, I am new to R and learning the same. I would like to create a sparse matrix from an existing file whose contents are in the format "rowIndex,columnIndex,value" for ex: 1,2,14 2,4,15 I would like to create a sparse matrix by taking the above as input. However, I couldn't find an example where the data was being read from a file. I tried searching in R tutorial and

Hello everyone Could anybody tell me how to set the following matrix? n2<-matrix(nrow=10185,ncol=10185,seq(0,0,length=103734225)) R answer was Error: cannot allocate vector of size 810423 Kb Are there any solution? I tried to increase the memory size but it didn't work G This message has been scanned for viruses by TRENDMICRO,\ an...{{dropped}}

Hi, I have been having a tedious issue with lmer models with lots of factors and lots of levels. In order to get the basic information at the beginning of the print out I also have to generate these enormous tables as well. Is there a method command to leave off all of the effects and correlations? Or, do I have to go to string commands?

I am developing a new R package and am now checking it for submission to CRAN. The some functions in the package make use of the sparse matrix routines in the package 'Matrix'. When these are loaded in R, they create no problems. However, when running R CMD check, I run into the following error in executing the examples in a .rd file: > DD = Matrix(diag(1,200),sparse=TRUE) >

The bulk is on my forums - the final post for today is: Results to date: A. It looks like I am going to need a newer compiler for C - xlc/xlC V11 apparently does not understand this code: "/data/prj/cran/R-3.2.3/src/main/memory.c", line 2149.31: 1506-046 (S) Syntax error. I will have to check if R-devel has different code before asking for assistence. +2139 #ifdef