R Graphical Manual

Last data update: 2014.03.03

Data Source

R Release (3.2.3)
CranContrib
BioConductor
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Classification

Results 1 - 10 of 22 found.
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SparseM.image (Package: SparseM) : Image Plot for Sparse Matrices

Display the pattern of non-zero entries of a matrix of class matrix.csr.

● Data Source: CranContrib
● Keywords: algebra, hplot
● Alias: SparseM.image, image, image,matrix.csr-method
● 0 images

SparseM.hb (Package: SparseM) : Harwell-Boeing Format Sparse Matrices

Read, and extract components of data in Harwell-Boeing sparse matrix format.

● Data Source: CranContrib
● Keywords: IO
● Alias: SparseM.hb, model.guess, model.guess,matrix.csc.hb-method, model.guess,matrix.ssc.hb-method, model.matrix, model.matrix,ANY-method, model.matrix,matrix.csc.hb-method, model.matrix,matrix.ssc.hb-method, model.matrix.matrix.ssc.hb, model.response, model.response,ANY-method, model.response,matrix.csc.hb-method, model.response,matrix.ssc.hb-method, model.xexact, model.xexact,matrix.csc.hb-method, model.xexact,matrix.ssc.hb-method, read.matrix.hb
● 0 images

matrix.csc-class (Package: SparseM) : Class "matrix.csc"

A new class for sparse matrices stored in compressed sparse column format

● Data Source: CranContrib
● Keywords: classes
● Alias: matrix.csc-class
● 0 images

matrix.csc.hb-class (Package: SparseM) : Class "matrix.csc.hb"

A new class consists of the coefficient matrix and the right-hand-side of a linear system of equations, initial guess of the solution and the exact solutions if they exist stored in external files using the Harwell-Boeing format.

● Data Source: CranContrib
● Keywords: classes
● Alias: matrix.csc.hb-class
● 0 images

matrix.ssr-class (Package: SparseM) : Class "matrix.ssr"

A new class for sparse matrices stored in symmetric sparse row format

● Data Source: CranContrib
● Keywords: classes
● Alias: matrix.ssr-class
● 0 images

SparseM.ops (Package: SparseM) : Basic Linear Algebra for Sparse Matrices

Basic linear algebra operations for sparse matrices of class matrix.csr.

● Data Source: CranContrib
● Keywords: algebra
● Alias: Ops.matrix.csr, Ops.matrix.diag.csr, %*%,ANY,ANY-method, %*%,matrix,matrix.csr-method, %*%,matrix.csr,matrix-method, %*%,matrix.csr,matrix.csr-method, %*%,matrix.csr,numeric-method, %*%,numeric,matrix.csr-method, %*%-methods, kronecker-methods
● 0 images

mslm-class (Package: SparseM) : Class "mslm"

A sparse extension of lm

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

SparseM.ontology (Package: SparseM) : Sparse Matrix Class

This group of functions evaluates and coerces changes in class structure.

● Data Source: CranContrib
● Keywords: algebra
● Alias: SparseM.ontology, as.matrix,ANY-method, as.matrix,coo-methods, as.matrix,csc-methods, as.matrix,csr-method, as.matrix,matrix.coo-method, as.matrix,matrix.csc-method, as.matrix,matrix.csr-method, as.matrix,matrix.ssc-method, as.matrix,matrix.ssr-method, as.matrix,ssc-methods, as.matrix,ssr-methods, as.matrix.coo, as.matrix.coo,ANY-method, as.matrix.coo,matrix.coo-method, as.matrix.coo,matrix.csc-method, as.matrix.coo,matrix.csr-method, as.matrix.coo,matrix.ssc-method, as.matrix.coo,matrix.ssr-method, as.matrix.csc, as.matrix.csc,ANY-method, as.matrix.csc,matrix.coo-method, as.matrix.csc,matrix.csc-method, as.matrix.csc,matrix.csr-method, as.matrix.csc,matrix.ssc-method, as.matrix.csc,matrix.ssr-method, as.matrix.csr, as.matrix.csr,ANY-method, as.matrix.csr,matrix.coo-method, as.matrix.csr,matrix.csc-method, as.matrix.csr,matrix.csr.chol-method, as.matrix.csr,matrix.ssc-method, as.matrix.csr,matrix.ssr-method, as.matrix.ssc, as.matrix.ssc,ANY-method, as.matrix.ssc,matrix.coo-method, as.matrix.ssc,matrix.csc-method, as.matrix.ssc,matrix.csr-method, as.matrix.ssc,matrix.ssc-method, as.matrix.ssc,matrix.ssr-method, as.matrix.ssc.matrix.csr-method, as.matrix.ssr, as.matrix.ssr,ANY-method, as.matrix.ssr,matrix.coo-method, as.matrix.ssr,matrix.csc-method, as.matrix.ssr,matrix.csr-method, as.matrix.ssr,matrix.ssc-method, as.matrix.ssr,matrix.ssr-method, coerce,matrix,matrix.csr-method, coerce,matrix.csr,matrix.diag.csr-method, coerce,numeric,matrix.diag.csr-method, coerce,vector,matrix.csr-method, coerce,vector,matrix.diag.csr-method, initialize,ANY-method, initialize,matrix.coo-method, initialize,matrix.csr-method, is.matrix,coo-methods, is.matrix,csc-methods, is.matrix,csr-methods, is.matrix,ssc-methods, is.matrix,ssr-methods, is.matrix.coo, is.matrix.csc, is.matrix.csr, is.matrix.ssc, is.matrix.ssr, matrix.csc, matrix.csr, matrix.ssc, matrix.ssr
● 0 images

slm (Package: SparseM) : Fit a linear regression model using sparse matrix algebra

This is a function to illustrate the use of sparse linear algebra to solve a linear least squares problem using Cholesky decomposition. The syntax and output attempt to emulate lm() but may fail to do so fully satisfactorily. Ideally, this would eventually become a method for lm. The main obstacle to this step is that it would be necessary to have a model.matrix function that returned an object in sparse csr form. For the present, the objects represented in the formula must be in dense form. If the user wishes to specify fitting with a design matrix that is already in sparse form, then the lower level function slm.fit() should be used.

● Data Source: CranContrib
● Keywords: regression
● Alias: slm
● 0 images

slm-class (Package: SparseM) : Class "slm"

A sparse extension of lm

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