similar to: Using GPUs for computation

I am encountering segfaults when checking the lme4 package on an Athlon64 system if I use the acml blas. R was built as a 64-bit application using the GCC 4.0.3 compiler suite including gfortran. The version of acml is 3.5.0 gfortran64. I do not encounter the segfaults when I compile R with R's built-in BLAS. The errors occur in the first example in lme4 in a call to lmer. It looks like

Hi All, I want to build R-2.10.0 on HP-UX, but I got following error message: ld: Unsatisfied symbol "zgemm" in file CHOLMOD.a[cholmod_l_super_numeric.o] ld: Unsatisfied symbol "zgemv" in file CHOLMOD.a[cholmod_l_super_solve.o] ld: Unsatisfied symbol "zherk" in file CHOLMOD.a[cholmod_l_super_numeric.o] ld: Unsatisfied symbol "ztrsm" in file

Hi R usrs, I want to build R-2.10.0 on HP-UX, but I got following error message: ld: Unsatisfied symbol "zgemm" in file CHOLMOD.a[cholmod_l_super_numeric.o] ld: Unsatisfied symbol "zgemv" in file CHOLMOD.a[cholmod_l_super_solve.o] ld: Unsatisfied symbol "zherk" in file CHOLMOD.a[cholmod_l_super_numeric.o] ld: Unsatisfied symbol "ztrsm" in file

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

Full_Name: Rod Montgomery Version: 1.1.0 OS: Windows-95 Submission from: (NULL) (38.26.56.3) File R-1.1.0/src/appl/lbfgsb.c -- Comment in code says two papers describing underlying math are in ftp://ece.nwu.edu/pub/lbfgs/lbfgs_bcm/ but that directory seems not to exist. (Actually, the comment does not give a URL - it just says to look in that directory on that FTP server.) Paper [1] does

Hello, I have been attempting to run a poisson glmm using lme4 for some time now and have had a lot of trouble. I would say 9 times out of 10 I receive the following warning: CHOLMOD warning: %h Error in mer_finalize(ans) : Cholmod error `not positive definite' at file:../Cholesky/t_cholmod_rowfac.c, line 432 My data are counts of microbe colony forming units (CFUs) collected from

A new version of "the Matrix" (well, actually the R package named "Matrix") has become available on the CRAN mirrors. As some of you have noticed, the version numbers (current is version 0.999375-8) are converging to one, and we feel that we have solved enough of the many (mostly small) problems to announce that release 1.0-0 is imminent. In the DESCRIPTION of the package

A new version of "the Matrix" (well, actually the R package named "Matrix") has become available on the CRAN mirrors. As some of you have noticed, the version numbers (current is version 0.999375-8) are converging to one, and we feel that we have solved enough of the many (mostly small) problems to announce that release 1.0-0 is imminent. In the DESCRIPTION of the package

Hi, I am getting a warning message when I am fitting a generalized linear mixed model (m1.2 below). CHOLMOD warning: matrix not positive definite Error in objective(.par, ...) : Cholmod error `matrix not positive definite' at file:../Supernodal/t_cholmod_super_numeric.c, line 614 Any idea? Thanks for your help, Reza > sessionInfo() R version 2.4.1 (2006-12-18) i386-pc-mingw32

I have a pretty large sparse matrix of integers: > dim(tasa) [1] 91650 37651 I need to add one to it in order to take logs, but I'm getting the following error: > tasa = log(tasa + 1) CHOLMOD error: problem too large Error in asMethod(object) : Cholmod error `problem too large' I have 2 Gb of RAM, and the current workspace is barely 300mb. Is there any workaround to this?

I have a pretty large sparse matrix of integers: > dim(tasa) [1] 91650 37651 I need to add one to it in order to take logs, but I'm getting the following error: > tasa = log(tasa + 1) CHOLMOD error: problem too large Error in asMethod(object) : Cholmod error `problem too large' I have 2 Gb of RAM, and the current workspace is barely 300mb. Is there any workaround to this?

Dear R-users, I'm new to R, so my apologies if this question doesn't make sense. I've tried the following model in lmer, and it works perfectly: model<-lmer(aphids~densroot+zone+(1|zone/site), family=quasipoisson) But if I try the exact same model with a different variable, totmas, the model looks as follows: model<-lmer(aphids~totmas+zone+(1|zone/site), family=quasipoisson)

Hi: I was trying to use apply on a sparse matrix from package Matrix, and I get the error: Error in asMethod(object) : Cholmod error 'problem too large' at file ../Core/cholmod_dense.c, line 106 Is there a way to apply a function to all the rows without bumping into this problem? Here is a simplified example: > dim(sm) [1] 72913 43052 > class(sm) [1] "dgCMatrix"

Hi R-help citizens, I'm having trouble making version 0.99-6 of Matrix on FreeBSD 6.0. The error message is: * Installing *source* package 'Matrix' ... ** libs gcc -I/usr/local/lib/R/include -I/usr/local/include -D__NO_MATH_INLINES -fPIC -g -O2 -c Csparse.c -o Csparse.o ... numerous lines deleted ... gcc -I/usr/local/lib/R/include -I/usr/local/include -D__NO_MATH_INLINES

Hi Martin I got stung by this last week. glmnet produces a coefficient matrix of class ?dgCMatrix? If a predictor matrix was created using sparseMatrix as follows, one gets unexpected results, as this simple example shows. My fix was easy (I always convert the predictor matrix to class ?dgCMatrix? now) Trevor > y=Matrix(diag(4)) > y 4 x 4 diagonal matrix of class "ddiMatrix"

Hi Martin, package arules heavily relies on ngCMatrix and uses multiplication and addition for logical operations. I think it makes sense that in a mixed operation with one dgCMatrix and one ngCMatrix the ngCMatrix should be "promoted" to a dgCMatrix. The current behavior of %*% and friends is in deed confusing: > m <- matrix(sample(c(0,1), 5*5, replace=TRUE), nrow=5) >

All: Attached is the output file from building R 2.10.0 on RedHat Linux. I have never previously experienced any problems when building R from source with new releases. But, now I get a compile error with the Matrix package: CHOLMOD/Include/cholmod.h:87:22: error: UFconfig.h: No such file or directory make[3]: *** [CHMfactor.o] Error 1 make[3]: Leaving directory

Dear all, I ran the following model without any problem previously to the update of lme4: fm2<-lmer(data=NGud,family=poisson, seed~hab*seedtray +(1|site)+(1|site:hab)) I have 25 sites, 2 habitats ("hab") per site, 8 seedtrays per habitat (4 as control, and 4 as treatment), and I'm interested in comparing the number of seed in seedtrays as a function of the treatment and its

Hi there, I've been wanting to fit a GLMM and I'm not completely sure I'm doing things right. As I said in a previous message my response variable is continuous with many zeros, so I was having a hard time finding an appropriate error distribution. I read some previous help mails given to other people advising them to use the Tweedie distribution. I'm still not sure if this

We have released to CRAN a new version of the (recommended) package Matrix, and of package lme4 yesterday. Anyone who gets the new version of Matrix *MUST* re-install lme4 -- if (s)he is using lme4 at all. Technical details about that further below. The fact that yesterday's version number of Matrix is 0.9995875-2, indicates that Matrix' version is indeed approaching 1.0 (*), and