R Graphical Manual

Last data update: 2014.03.03

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Results 1 - 10 of 115 found.
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nMatrix-class (Package: Matrix) : Class "nMatrix" of Non-zero Pattern Matrices

The nMatrix class is the virtual “mother” class of all non-zero pattern (or simply pattern) matrices in the Matrix package.

● Data Source: CranContrib
● Keywords: algebra, classes
● Alias: coerce,dMatrix,nMatrix-method, coerce,lMatrix,nMatrix-method, coerce,matrix,nMatrix-method, coerce,nMatrix,dMatrix-method, coerce,nMatrix,lMatrix-method, coerce,nMatrix,matrix-method, nMatrix-class, show,nMatrix-method
● 0 images

MatrixFactorization-class (Package: Matrix) : Class "MatrixFactorization" of Matrix Factorizations

The class "MatrixFactorization" is the virtual (super) class of (potentially) all matrix factorizations of matrices from package Matrix.

● Data Source: CranContrib
● Keywords: classes
● Alias: CholeskyFactorization-class, MatrixFactorization-class
● 0 images

facmul (Package: Matrix) : Multiplication by Decomposition Factors

Performs multiplication by factors for certain decompositions (and allows explicit formation of those factors).

● Data Source: CranContrib
● Keywords: algebra, array
● Alias: facmul, facmul.default
● 0 images

lsparseMatrix-classes (Package: Matrix) : Sparse logical matrices

The lsparseMatrix class is a virtual class of sparse matrices with TRUE/FALSE or NA entries. Only the positions of the elements that are TRUE are stored.

● Data Source: CranContrib
● Keywords: algebra, classes
● Alias: lgCMatrix-class, lgRMatrix-class, lgTMatrix-class, lsCMatrix-class, lsRMatrix-class, lsTMatrix-class, lsparseMatrix-class, ltCMatrix-class, ltRMatrix-class, ltTMatrix-class
● 0 images

dtpMatrix-class (Package: Matrix) : Packed Triangular Dense Matrices - "dtpMatrix"

The "dtpMatrix" class is the class of triangular, dense, numeric matrices in packed storage. The "dtrMatrix" class is the same except in nonpacked storage.

● Data Source: CranContrib
● Keywords: classes
● Alias: coerce,dtpMatrix,dtTMatrix-method, coerce,dtpMatrix,dtrMatrix-method, coerce,dtpMatrix,ltpMatrix-method, coerce,dtpMatrix,matrix-method, coerce,matrix,dtpMatrix-method, determinant,dtpMatrix,logical-method, determinant,dtpMatrix,missing-method, diag,dtpMatrix-method, diag<-,dtpMatrix-method, dtpMatrix-class, norm,dtpMatrix,character-method, norm,dtpMatrix,missing-method, rcond,dtpMatrix,character-method, rcond,dtpMatrix,missing-method
● 0 images

ldenseMatrix-class (Package: Matrix) : Virtual Class "ldenseMatrix" of Dense Logical Matrices

ldenseMatrix is the virtual class of all dense logical (S4) matrices. It extends both denseMatrix and lMatrix directly.

● Data Source: CranContrib
● Keywords: classes
● Alias: ldenseMatrix-class
● 0 images

dtCMatrix-class (Package: Matrix) : Triangular, (compressed) sparse column matrices

The "dtCMatrix" class is a class of triangular, sparse matrices in the compressed, column-oriented format. In this implementation the non-zero elements in the columns are sorted into increasing row order.

● Data Source: CranContrib
● Keywords: algebra, classes
● Alias: dtCMatrix-class, dtTMatrix-class
● 0 images

symmetricMatrix-class (Package: Matrix) : Virtual Class of Symmetric Matrices in Package Matrix

The virtual class of symmetric matrices, "symmetricMatrix", from the package Matrix contains numeric and logical, dense and sparse matrices, e.g., see the examples.

● Data Source: CranContrib
● Keywords: classes
● Alias: coerce,CsparseMatrix,symmetricMatrix-method, coerce,denseMatrix,symmetricMatrix-method, coerce,matrix,symmetricMatrix-method, dimnames,symmetricMatrix-method, symmetricMatrix-class
● 0 images

solve-methods (Package: Matrix) : Methods in Package Matrix for Function code{solve()

Methods for function solve to solve a linear system of equations, or equivalently, solve for X in

● Data Source: CranContrib
● Keywords: methods
● Alias: solve, solve,ANY,Matrix-method, solve,CHMfactor,ANY-method, solve,CHMfactor,ddenseMatrix-method, solve,CHMfactor,diagonalMatrix-method, solve,CHMfactor,dsparseMatrix-method, solve,CHMfactor,matrix-method, solve,CHMfactor,missing-method, solve,CHMfactor,numeric-method, solve,Matrix,ANY-method, solve,Matrix,diagonalMatrix-method, solve,Matrix,missing-method, solve,Matrix,numeric-method, solve,Matrix,pMatrix-method, solve,Matrix,sparseVector-method, solve,MatrixFactorization,ANY-method, solve,MatrixFactorization,missing-method, solve,MatrixFactorization,numeric-method, solve,TsparseMatrix,ANY-method, solve,TsparseMatrix,missing-method, solve,ddenseMatrix,ANY-method, solve,ddenseMatrix,matrix-method, solve,ddenseMatrix,missing-method, solve,ddenseMatrix,numeric-method, solve,denseLU,missing-method, solve,dgCMatrix,ddenseMatrix-method, solve,dgCMatrix,dsparseMatrix-method, solve,dgCMatrix,matrix-method, solve,dgCMatrix,missing-method, solve,dgeMatrix,ddenseMatrix-method, solve,dgeMatrix,matrix-method, solve,dgeMatrix,missing-method, solve,dgeMatrix,sparseMatrix-method, solve,diagonalMatrix,matrix-method, solve,diagonalMatrix,missing-method, solve,dpoMatrix,dgeMatrix-method, solve,dpoMatrix,matrix-method, solve,dpoMatrix,missing-method, solve,dppMatrix,dgeMatrix-method, solve,dppMatrix,integer-method, solve,dppMatrix,matrix-method, solve,dppMatrix,missing-method, solve,dsCMatrix,ddenseMatrix-method, solve,dsCMatrix,denseMatrix-method, solve,dsCMatrix,dsparseMatrix-method, solve,dsCMatrix,matrix-method, solve,dsCMatrix,missing-method, solve,dsCMatrix,numeric-method, solve,dspMatrix,ddenseMatrix-method, solve,dspMatrix,matrix-method, solve,dspMatrix,missing-method, solve,dsyMatrix,ddenseMatrix-method, solve,dsyMatrix,denseMatrix-method, solve,dsyMatrix,matrix-method, solve,dsyMatrix,missing-method, solve,dtCMatrix,CsparseMatrix-method, solve,dtCMatrix,dgeMatrix-method, solve,dtCMatrix,matrix-method, solve,dtCMatrix,missing-method, solve,dtCMatrix,numeric-method, solve,dtpMatrix,ddenseMatrix-method, solve,dtpMatrix,matrix-method, solve,dtpMatrix,missing-method, solve,dtrMatrix,dMatrix-method, solve,dtrMatrix,ddenseMatrix-method, solve,dtrMatrix,matrix-method, solve,dtrMatrix,missing-method, solve,matrix,Matrix-method, solve,pMatrix,matrix-method, solve,pMatrix,missing-method, solve,sparseQR,ANY-method, solve-methods
● 5 images

sparseVector (Package: Matrix) : Sparse Vector Construction from Nonzero Entries

User friendly construction sparse vectors, i.e., objects inheriting from class sparseVector, from indices and values of its non-zero entries.

● Data Source: CranContrib
● Keywords: array
● Alias: sparseVector
● 0 images