search for: bdiag

...ut not found Error in namespaceExport(ns, exports) : undefined exports: %&%, Cholesky, .SuiteSparse_version, Diagonal, .symDiagonal, .sparseDiagonal, .trDiagonal, Hilbert, KhatriRao, Matrix, MatrixClass, spMatrix, sparseMatrix, rsparsematrix, Schur, abIseq, abIseq1, rep2abI, band, bandSparse, bdiag, .bdiag, c.sparseVector, condest, onenormest, .asmatrix, .dsy2mat, .dsy2dsp, .dxC2mat, .T2Cmat, ..2dge, .dense2sy, .C2nC, .nC2d, .nC2l, .diag.dsC, .solve.dgC.chol, .solve.dgC.qr, .solve.dgC.lu, diagN2U, diagU2N, .diagU2N, .diag2tT, .diag2sT, .diag2mat, drop0, expand, expm, facmul, fac2sparse, fac2S...

...and as.matrix) Adf0 <- apply(A, 3, as.data.frame) Adf1 <- lapply(X=Adf0, FUN=as.matrix, nrow=4, ncol=4) M3 <- mapply(FUN="%*%", Adf1, as.data.frame(M)) # fourth solution (often too large block-diagonal matrix) Alist <- NULL for(i in 1:3){ # better way to create such list for bdiag Alist[[i]] <- A[,,i] } Abd <- bdiag(Alist) M4 <- matrix(as.matrix(Abd %*% c(M)), nrow=4, ncol=3) ---------- This mail has been sent through the MPI for Demographic ...{{dropped:10}}

Hi R users: How can I built a direct sum function of matrices in R? I mean A(mxn), B(pxq), C(rxs),... X<-ds(A,B,C,...) X = [ A, 0, 0 0, B, 0 0, 0, C] ((m+p+r+...) x (n+q+s+...)) Thank you for your help. Kenneth -- Using Opera's revolutionary e-mail client: http://www.opera.com/m2/

Hi, I am trying to creat a matrix with diagnal blocks, say, I have a matrix X of any dimension (nxm) ,and would like to have: X X X

...ort(ns, exports) : > undefined exports: %&%, Cholesky, .SuiteSparse_version, Diagonal, > .symDiagonal, .sparseDiagonal, .trDiagonal, Hilbert, KhatriRao, > Matrix, MatrixClass, spMatrix, sparseMatrix, rsparsematrix, Schur, > abIseq, abIseq1, rep2abI, band, bandSparse, bdiag, .bdiag, > c.sparseVector, condest, onenormest, .asmatrix, .dsy2mat, .dsy2dsp, > .dxC2mat, .T2Cmat, ..2dge, .dense2sy, .C2nC, .nC2d, .nC2l, .diag.dsC, > .solve.dgC.chol, .solve.dgC.qr, .solve.dgC.lu, diagN2U, diagU2N, > .diagU2N, .diag2tT, .diag2sT, .diag2mat, drop0, exp...

Hello List I have just written a little function that takes two matrices as arguments and returns a large matrix that is composed of the two input matrices in upper-left position and lower-right position with a padding value everywhere else. (function definition and toy example below). I need nonsquare matrices and rowname() and colname() inherited appropriately. Two questions: (1) Is there a

Heja, I hope someone is still there to help me: How can I somehow merge/combine matrices to get such a result: Matrix A A B x1 1 0 x2 1 1 Matrix B C D x3 1 0 x4 0 1 Resulting Matrix? A B C D x1 1 0 0 0 x2 1 1 0 0 x3 0 0 1 0 x4 0 0 0 1 Does anyone see this probably obvious solution with R how to do this? Sorry if this question is silly...it's too hot here to think properly ;O)

...y Liaw recently submitted some code to construct a block diagonal matrix. For what seemed a fairly straightforward task, the code seemed a little "overweight" to me (that's an American stock analyst's term, btw), so I came up with a slightly cleaner version (with help from Andy): bdiag<-function(...){ mlist<-list(...) ## handle case in which list of matrices is given if(length(mlist)==1)mlist<-unlist(mlist,rec=FALSE) csdim<-rbind(c(0,0),apply(sapply(mlist,dim),1,cumsum )) ret<-array(0,dim=csdim[length(mlist)+1,]) add1<-matrix(rep(1:0,2),nc=2) for(i in seq...

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...contingency tables and coercion of one *factor* (possibly crossed with one <numeric>) to the corresponding (potentially huge) sparse model matrix for sparse least squares and related computations. Further to the above, "Matrix" objects are also constructed by Matrix(), spMatrix(), bdiag() {block-diagonal}, Diagonal() and many as(., "....Matrix") possibilities. The Matrix package also provides a C level API (header files of exported C functions providing low-level functionality) to many of its internal algorithms that other packages can link to. Currently, the 'lme4...

...contingency tables and coercion of one *factor* (possibly crossed with one <numeric>) to the corresponding (potentially huge) sparse model matrix for sparse least squares and related computations. Further to the above, "Matrix" objects are also constructed by Matrix(), spMatrix(), bdiag() {block-diagonal}, Diagonal() and many as(., "....Matrix") possibilities. The Matrix package also provides a C level API (header files of exported C functions providing low-level functionality) to many of its internal algorithms that other packages can link to. Currently, the 'lme4...

...taNote: no longer available, since we use data/*.R *and* our classes .... all.equal-methods Matrix Methods for Function all.equal() atomicVector-class Virtual Class "atomicVector" of Atomic Vectors band Extract bands of a matrix bdiag Construct a Block Diagonal Matrix cBind Versions of 'cbind' and 'rbind' recursively built on cbind2/rbind2 chol Choleski Decomposition - 'Matrix' S4 Generic colSums Form Row and C...