similar to: dgTMatrix --- [, , drop=F] strange behavior, Matrix 0.999375-20

Hi, I'm getting crazy: This does work: library(Matrix) a1<-b1<-c(1,2) c1<-rnorm(2) aDgt<-spMatrix(ncol=3,nrow=3,i=a1,j=b1,x=c1) png("myImage.png") image(aDgt) dev.off() But this doesn't !!! f<-function(x){ png("myImage.png") image(x) dev.off() } f(aDgt) My image is saved as a text file and contains nothing at all !!! Thanks in advance, Gildas Mazo

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

Using the Matrix package, how can I create a row-oriented sparse Matrix from scratch populated with some data? By default a column-oriented one is created and I'm aware of the note that the package is optimized for column-oriented ones, but I'm only interested in using it for holding my sparse row-oriented data and doing basic subsetting by rows (even using drop=FALSE). Here is what I

Hi, I'd like to reshape a sparse matrix generated from the Matrix package. I can't seem to do it with the command dim(A) <- c(6,9) which works perfectly with the base package matrices, but with the sparse matrices it errors with Error in dim(A) = c(6, 9) : dim<- : invalid first argument Manipulating the Dim attribute of the sparse Matrix does not produce the desired effect. A

Hi all, I am wondering if this is a bug in the Matrix package or if it something that I am just getting wrong...here is an example: > m = matrix(0,4,4) > dimnames(m) = list(letters[1:4], letters[5:8]) > r = c("a","b","a","d") > m[r,2] = 1 > m e f g h a 0 1 0 0 b 0 1 0 0 c 0 0 0 0 d 0 1 0 0 > M = Matrix(0,4,4) > dimnames(M) =

Hi, I'm very new to working with sparse matrices and would like to know how I can column permute a sparse matrix. Here is a small example: > M1 <- > spMatrix(nrow=5,ncol=6,i=sample(5,15,replace=TRUE),j=sample(6,15,replace=TRUE),x=round_any(rnorm(15,2),0.001)) > M1 5 x 6 sparse Matrix of class "dgTMatrix" [1,] 2.983 . 1.656 5.003 . . [2,] .

>>>>> Henrik Bengtsson <henrik.bengtsson at gmail.com> >>>>> on Tue, 19 Apr 2016 14:04:11 -0700 writes: > Using the Matrix package, how can I create a row-oriented sparse > Matrix from scratch populated with some data? By default a > column-oriented one is created and I'm aware of the note that the > package is optimized for

I was asked privately > I have been using <the Matrix package> extensively to > calculate the relatedness-matrix based on the pedigree for > our ornamental plants. I was wondering if you could give > me some advice, for which I would like to thank you in > advance! > The output of the relatedness matrix I get from > the nadiv package is a

I have posted this message on r-lang, but it is perhaps more appropriate on r-devel: --- Hello, I'm puzzled by a problem with call to diag(), rowSums(), rownames() on objects of class "dgtMatrix", created by sparseMatrix() or spMatrix(). I use Matrix 0.999375-30. The weird thing is that I don't encounter any problem when I use this functions on the R prompt, or

Dear Collegues, it seems like there is a problem with the image()-method in the package arules. Using an ordninary matrix works fine: image(matrix(rnorm(200), 10, 20), axes = FALSE, col=brewer.pal(9, "Blues") ) delivers an image with blue colors and no axes. Using an object of the class "associations" (arules package) does not work: image(items(ta.eclat), axes = FALSE,

Hello, Could someone please explain the following warning while subsetting in the Matrix package? Thanks, John Thaden, PhD U. Arkansas for Med. Sci. Little Rock AR USA > # In the Matrix package... > library("Matrix") > # ...I had previously created a sparse matrix in triplet form: > str(x) Formal class 'dgTMatrix' [package "Matrix"] with 6 slots ..@ i

Hi, I'm finding that readMM() cannot read a file written with writeMM(). Example: library(Matrix) a = Matrix(c(1,0,3,0,0,5), 10, 10) a = as(a, "CsparseMatrix") writeMM(a, "kk.mm") b = readMM("kk.mm") Error in validObject(.Object) : invalid class "dgTMatrix" object: all row indices must be between 0 and nrow-1 Thoughts? Thanks, -Jose -- Jose

Hi, Since I installed R 2.13 I cannot use the transpose method "t" on sparse matrices inside my package. Outside the package works. Is there something new that I have to import methods? Can I then import everything from the Matrix package? The problem is that R tries to use t.default which of course doesn't work. Happy easter, Tobias -- Tobias Abenius Ph.D. Student, M.Sc. in

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Hi, I'm doing some basic operations on large sparse matrices, for example getting a row. it takes close to 30 seconds on a 3Ghz machine, and shots the memory usage up to the sky. I suspect there are dense intermediary steps (which, if true would defeat the purpose of trying to use sparse representaitons). As much as I try understanding the

Hi, I have a 60k*600k matrix, which exceed the vector length limit of 2^32-1. But it's rather sparse, only 0.02% has value. So I save is as MarketMatrix (mm) file, it's about 300M in size. I use readMM in Matrix package to read it in. If do so, the data type becomes dgTMatrix in 'Matrix' package instead of the common matrix type. The problem is, if I run k-means only on part of

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 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

I have a bunch of data sets that were created for the libsvm tool. They are in "colon separated sparse format". i.e. 1 5:1 27:3 345:10 Is a row with the label of "1" and only has values in columns 5, 27, and 345. I want to read these into a data.frame in R. Is there a simple way to do this? -- Noah Silverman, M.S. UCLA Department of Statistics 8117 Math Sciences