similar to: trouble installing SparseM

I have troubles installing the "SparseM" package on my Debian stable Linux system. Debian's version of R is: platform i386-pc-linux-gnu arch i386 os linux-gnu system i386, linux-gnu status major 1 minor 5.1 year 2002 month 06 day 17 language R This is the installation output: > R CMD INSTALL -l /usr/lib/R/ SparseM_0.36.tar.gz * Installing

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"),

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

Hello all, I am trying to use the "svm" method provided by e1071 (Version: 1.5-16) together with a matrix provided by the SparseM package (Version: 0.73) but it fails with this message: > model <- svm(lm, lv, scale = TRUE, type = 'C-classification', kernel = 'linear') Error in t.default(x) : argument is not a matrix although lm was created before with

read.matrix.csr does not close the connection: > library('SparseM') Package SparseM (0.96) loaded. > read.matrix.csr(foo) ... Warning message: closing unused connection 3 (foo) > -- Sam Steingold (http://sds.podval.org/) on Ubuntu 12.04 (precise) X 11.0.11103000 http://www.childpsy.net/ http://truepeace.org http://camera.org http://pmw.org.il http://think-israel.org

Hi, I am writing some basic smoothers in R for cleaning some spectral data. I wanted to see if I could get close to matlab for speed, so I was trying to compare SparseM with Matrix to see which could do the choleski decomposition the fastest. Here is the function using SparseM difsm <- function(y, lambda, d){ # Smoothing with a finite difference penalty # y: signal to be smoothed #

Hi! Would like to initialize a huge matrix.csc (Pacakge SparseM) with all elements 0 and afterwards set a few alements nonzero. The matrix which I like to allocate is so huge that I can not use A <- matrix(a,n1,p) before: A.csr <- as.matrix.csc(A) because I can not allocate such a huge matrix A. But I believe that the much more memmory efficient model in case of csc matrix should do it for

Hi, I am trying out the SparseM package and had the a question. The following piece of code works fine: ... fit = slm(model, data = trainData, weights = weight) ... But how do I use the fit object to predict the values on say a reserved testDataSet? In the regular lm function I would do something like this: predict.lm(fit,testDataSet) Thanks -Bala

Hi there, I'm having a problem when trying to create a large matrix (1,000,000 x 1,000,000) of the .csr type (package 'SparseM'). > k <- rep(0,1000000) > tmp <- length(k) > tmp2 <- as.matrix.csr(0,tmp,tmp) Error in if (length(x) == nrow * ncol) x <- matrix(x, nrow, ncol) else { : missing value where TRUE/FALSE needed Warning message: In nrow * ncol : NAs

Dear all, I just installed the new version of R, 2.10.1, and I am currently using the package sparseM. (I also use a 64 bit windows version) I got a problem that I never had: when I try to multiply with a kronecker product (%x%) two sparse matrixes I get the following message: Error in dim(x) <- length(x) : invalid first argument I never had this problem with previous versions of R. May

Stanislav Brabec wrote: > Please note that 2.2.2-pre3 installs hald addons by default to / on > openSUSE 11.0 beta 2 x86_64. Not a big problem. Here is a patch, which fixes openSUSE 11.0 beta 2 x86_64: --- m4/nut_check_libhal.m4 +++ m4/nut_check_libhal.m4 @@ -63,7 +63,7 @@ dnl As per HAL spec, ?5 Callouts and ?2 Device Information Files dnl - addon install path: $libdir/hal

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

Hi all, I want to transform a dCgMatrix from package Matrix into a matrix.csr from package SparseM, and I found out this link : http://stat.ethz.ch/R-manual/R-devel/library/Matrix/html/SparseM-conv.html But there's no informaion about usage/description/arguments, so how do I use this SparseM-conversions method ?? Is it a function ?? By the way I already tried function: as.spam.matrix.csr

I have been running into difficulties with dispatching on an S4 class defined in the SparseM package, when the method calls are inside a function passed as the f= argument to optimize() in functions in the spdep package. The S4 methods are typically defined as: setMethod("det","matrix.csr", function(x, ...) det(chol(x))^2) that is within setMethod() rather than by name before

Please cc me when replying to the list. With Version 2.1.1 (2005-06-20) on Power Mac G5 running Mac OS X 10.4.2 (8C46): Some compilations work (e.g., MatchIt, RGraphics, Zelig), and some don't, e.g., mgcv, spatstat, and the following (Matrix, cluster): trying URL 'http://www.ibiblio.org/pub/languages/R/CRAN/src/contrib/ Matrix_0.98-3.tar.gz' Content type

My 2 cents: get rid of LLVM_UNUSED_RESULT, and move to LLVM_NODISCARD. For compilers that support it, it should be a strict superset of features and functionality. The standard feature was written directly based on the clang warn_unused_result stuff. I would just migrate us onto the spelling and usage pattern that got standardized. All we have to lose are warnings from compilers other than Clang

I am trying to build Wine 1.1.40 in Fedora 12 with wine.spec from src.rpm but I get this error: configure: Finished. Do 'make' to compile Wine. + /usr/bin/make depend config.status: creating tools/Makefile make[1]: Entering directory `/home/user/rpmbuild/BUILD/wine-1.1.40/tools' gcc -c -I. -I. -I../include -I../include -I/usr/include/freetype2 -D__WINESRC__ -Wall -pipe

Sanjoy Das <sanjoy at playingwithpointers.com> writes: > Hi Justin, > > This SGTM generally, but please make the difference between > LLVM_NODISCARD and LLVM_UNUSED_RESULT clear in the code. :) Right, this is where it gets a little weird. LLVM_NODISCARD would be for types, whereas LLVM_UNUSED_RESULT would be for functions. Depending on your host compiler, using the wrong one

Hi, I have just installed R 2.4.0 and when I try to load SpareseM, I get the following error message library(SparseM) Package SparseM (0.71) loaded. To cite, see citation("SparseM") Error in loadNamespace(package, c(which.lib.loc, lib.loc), keep.source = keep.source) : in 'SparseM' methods specified for export, but none defined: as.matrix.csr, as.matrix.csc,