search for: readmm

...rix(c(-10,10,0),nrow=3,ncol=1)A %*% x #Error in lsfit(A, b) : only 3 cases, but 4 variableslsfit(A,b)#solves the system, but fails belowsolve(qr(A, LAPACK=TRUE),b)#Error in qr.solve(A, b) : singular matrix 'a' in solveqr.solve(A,b) #matrices used in my actual problem (see attached files)A = readMM("A.txt")b = readMM("b.txt") #Error in as(x, "matrix")[i, , drop = drop] : subscript out of boundssolve(qr(A, LAPACK=TRUE),b) -------------- next part -------------- An embedded and charset-unspecified text was scrubbed... Name: A.txt URL: <https://stat.ethz.ch/...

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...

...10,0),nrow=3,ncol=1)A %*% x > #Error in lsfit(A, b) : only 3 cases, but 4 variableslsfit(A,b)#solves the system, but fails belowsolve(qr(A, LAPACK=TRUE),b)#Error in qr.solve(A, b) : singular matrix 'a' in solveqr.solve(A,b) > #matrices used in my actual problem (see attached files)A = readMM("A.txt")b = readMM("b.txt") > #Error in as(x, "matrix")[i, , drop = drop] : subscript out of boundssolve(qr(A, LAPACK=TRUE),b) Your code is a mess. A singular square system of linear equations has an infinity of solutions if a solution exists at all. How that wor...

...A > %*% x > #Error in lsfit(A, b) : only 3 cases, but 4 variableslsfit(A,b)#solves the > system, but fails belowsolve(qr(A, LAPACK=TRUE),b)#Error in qr.solve(A, b) > : singular matrix 'a' in solveqr.solve(A,b) > #matrices used in my actual problem (see attached files)A = > readMM("A.txt")b = readMM("b.txt") > #Error in as(x, "matrix")[i, , drop = drop] : subscript out of > boundssolve(qr(A, LAPACK=TRUE),b) > > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, se...

...=3,ncol=1)A %*% x >#Error in lsfit(A, b) : only 3 cases, but 4 variableslsfit(A,b)#solves >the system, but fails belowsolve(qr(A, LAPACK=TRUE),b)#Error in >qr.solve(A, b) : singular matrix 'a' in solveqr.solve(A,b) >#matrices used in my actual problem (see attached files)A = >readMM("A.txt")b = readMM("b.txt") >#Error in as(x, "matrix")[i, , drop = drop] : subscript out of >boundssolve(qr(A, LAPACK=TRUE),b) > > > >------------------------------------------------------------------------ > >________________________________...

...10,0),nrow=3,ncol=1)A %*% x > #Error in lsfit(A, b) : only 3 cases, but 4 variableslsfit(A,b)#solves the system, but fails belowsolve(qr(A, LAPACK=TRUE),b)#Error in qr.solve(A, b) : singular matrix 'a' in solveqr.solve(A,b) > #matrices used in my actual problem (see attached files)A = readMM("A.txt")b = readMM("b.txt") > #Error in as(x, "matrix")[i, , drop = drop] : subscript out of boundssolve(qr(A, LAPACK=TRUE),b) Your code is a mess. A singular square system of linear equations has an infinity of solutions if a solution exists at all. How that wor...

I'm trying to read data a program produces in matrixmarket array format into R and its giving me fits. I've tried read.MM (below) and readMM (from the Matrix package) but neither works. One of them says array format isn't supported, the other reports something indecipherable about Fortran. Here's the file contents. Can't get much simpler than that! %%MatrixMarket matrix array real general > %This file contains LIBFM glo...

..., drop0, expand, expm, facmul, fac2sparse, fac2Sparse, forceSymmetric, T2graph, graph2T, anyDuplicatedT, uniqTsparse, isTriangular, isDiagonal, isLDL, is.null.DN, invPerm, lu, nearPD, nnzero, formatSpMatrix, formatSparseM, .formatSparseSimple, printSpMatrix, printSpMatrix2, qrR, rankMatrix, readHB, readMM, sparse.model.matrix, sparseVector, symmpart, skewpart, tril, triu, updown, pack, unpack, .updateCHMfactor, .validateCsparse, writeMM, cBind, rBind ERROR: lazy loading failed for package 'rockchalk' * removing 'd:/Rcompile/CRANpkg/lib/3.4/rockchalk' * restoring previous 'd:/Rcom...

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 the data, to make sure the vector length do not exceed 2^32-1, there's no problem at all. Meaning that the...

...parse, fac2Sparse, forceSymmetric, T2graph, graph2T, > anyDuplicatedT, uniqTsparse, isTriangular, isDiagonal, isLDL, > is.null.DN, invPerm, lu, nearPD, nnzero, formatSpMatrix, > formatSparseM, .formatSparseSimple, printSpMatrix, printSpMatrix2, > qrR, rankMatrix, readHB, readMM, sparse.model.matrix, sparseVector, > symmpart, skewpart, tril, triu, updown, pack, unpack, > .updateCHMfactor, .validateCsparse, writeMM, cBind, rBind > ERROR: lazy loading failed for package 'rockchalk' > * removing 'd:/Rcompile/CRANpkg/lib/3.4/rockchalk...

Hola erreros Estoy rizando el rizo con esto de las matrices sparse y he encontrado la forma de hacerlo en python, que va rapidísimo. Por tanto tengo una matriz sparse en un objeto python con esta info: <138493x26744 sparse matrix of type '<type 'numpy.int64'> Quiero hacer lo mismo con R pero me he topado con la lentitud de los bucles para rellenar la sparse (también por mi