similar to: converting dgCMatrix to regular matrix

I represent a graph as an adjacency matrix of class "dgCMatrix" (from the Matrix package). > xx 5 x 5 sparse Matrix of class "dgCMatrix" a b c d e a . 1 1 . . b 1 . 1 . . c 1 1 . 1 1 d . . 1 . 1 e . . 1 1 . To check if the matrix defines and undirected graph, I have made the following functions/methods: is.UG <- function (object) { UseMethod("is.UG") }

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")

> sessionInfo() R version 2.13.1 (2011-07-08) Platform: x86_64-apple-darwin9.8.0/x86_64 (64-bit) locale: [1] en_US.UTF-8/en_US.UTF-8/C/C/en_US.UTF-8/en_US.UTF-8 attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] Matrix_0.999375-50 lattice_0.19-30 loaded via a namespace (and not attached): [1] grid_2.13.1

Subsetting using [] vs. head(), gives different results. R code: > head(train$data, 5) [1] 0 0 1 0 0 > train$data[1:5, 1:5] 5 x 5 sparse Matrix of class "dgCMatrix" cap-shape=bell cap-shape=conical cap-shape=convex [1,] . . 1 [2,] . . 1 [3,] 1 .

> On Oct 20, 2017, at 11:11 AM, C W <tmrsg11 at gmail.com> wrote: > > Dear R list, > > I came across dgCMatrix. I believe this class is associated with sparse > matrix. Yes. See: help('dgCMatrix-class', pack=Matrix) If Martin Maechler happens to respond to this you should listen to him rather than anything I write. Much of what the Matrix package does appears

>>>>> C W <tmrsg11 at gmail.com> >>>>> on Fri, 20 Oct 2017 15:51:16 -0400 writes: > Thank you for your responses. I guess I don't feel > alone. I don't find the documentation go into any detail. > I also find it surprising that, >> object.size(train$data) > 1730904 bytes >>

> On Oct 21, 2017, at 7:50 AM, Martin Maechler <maechler at stat.math.ethz.ch> wrote: > >>>>>> C W <tmrsg11 at gmail.com> >>>>>> on Fri, 20 Oct 2017 15:51:16 -0400 writes: > >> Thank you for your responses. I guess I don't feel >> alone. I don't find the documentation go into any detail. > >> I also find

Dear R list, I came across dgCMatrix. I believe this class is associated with sparse matrix. I see there are 8 attributes to train$data, I am confused why are there so many, some are vectors, what do they do? Here's the R code: library(xgboost) data(agaricus.train, package='xgboost') data(agaricus.test, package='xgboost') train <- agaricus.train test <- agaricus.test

Thank you for your responses. I guess I don't feel alone. I don't find the documentation go into any detail. I also find it surprising that, > object.size(train$data) 1730904 bytes > object.size(as.matrix(train$data)) 6575016 bytes the dgCMatrix actually takes less memory, though it *looks* like the opposite. Cheers! On Fri, Oct 20, 2017 at 3:22 PM, David Winsemius

Hi All, I installed this R.matlab package and tried using the sample code > > path <- system.file("mat-files", package="R.matlab") > > # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - > # Reading all example files > # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - > for (version in 4:5) { +

Dear users, I am stucked with a programming problem: I am trying to download a squared adjacency matrix from matlab with only 0 or 1. Doing it without a loop at first, I get an error message that is, I think, related to the "mat_adj<-readMat(pathnames_adj)" line. Did anybodz encouter already that problem? If so, do I need to change anything in my code in order it not to be

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

Hi, I'm trying to create a new S4 class (myMatrix) which for now just extends dgCMatrix (from package Matrix). Then I want to use "[" which is defined in Matrix. Out of the box with "[" (defined in Matrix) I lose the class information and the result is an object of class dgCMatrix. If I specify a "["-method for myMatrix, it is not used because a signature

To make R.matlab's readMat work for me[1] I needed access to zlib's uncompress function. R already links with zlib, and sometime last year I hobbled together a quick package to get at a few functions. It's my first package, so I would love feedback both on the package and its purpose. I've dropped a temporary copy at http://jriedy.users.sonic.net/internalzlib_0.1.tar.gz Could

Hi to the list, I am trying to find a way to painlessly move structured data back and forth between R and Matlab (also Octave). For this purpose I found the R.matlab package great help. I wish to use a Matlab -v6 MAT file as an intermediary format, because it is well read by both Matlab and Octave. It is also well read by 'readMat' function in R.matlab package, but that is where I run

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) >

Dear R users, I work with Matlab & R simultaneously. Usually I used to read successfully mat files (cell, structure, etc.) into R, till Matlab 2011b release. For reading mat files (or maybe I should say, converting it into R variable or structure) I’m using *readMat* (from “R.matlab” package). Even saving mat files in one of the previous formats (which can bet set in preference panel)

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, Not sure if this is what you wanted: ?mat1<- as.matrix(read.table(text=" ????? 33??????? 45??? 50 ????? NA?????? NA?? 54 ",sep="",header=FALSE)) mat2<- as.matrix(read.table(text=" 24??????????????? 0.0000000??????? 0.0000000 0.0000000??????? 14??????????????? 0.0000000 0.0000000 0.0000000??????? 10 ",sep="",header=FALSE)) ?mat1%*%mat2 ?# ??? V1?