ndenseMatrix-class

!,ndenseMatrix-method

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Summary,ndenseMatrix-method

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<code>ndenseMatrix</code> is the virtual class of all dense logical
 (S4) matrices. It extends both <code>denseMatrix</code>
 and <code>lMatrix</code> directly.

classes

A rich hierarchy of matrix classes, including triangular,
symmetric, and diagonal matrices, both dense and sparse and with
pattern, logical and numeric entries.   Numerous methods for and
operations on these matrices, using 'LAPACK' and 'SuiteSparse' libraries.

Martin Maechler

Matrix

Sparse and Dense Matrix Classes and Methods

Douglas Bates

Mikael Jagan

Timothy A. Davis

Jens Oehlschlägel

Jason Riedy

R Core Team 

ndenseMatrix-class function

<dl>
 <dt><code>x</code>:</dt>
<dd>logical vector containing the entries of the matrix.</dd> <dt><code>Dim</code>, <code>Dimnames</code>:</dt>
<dd>see <code>Matrix</code>.</dd> 
</dl>

Slots

Class <code>"nMatrix"</code>, directly.
Class <code>"denseMatrix"</code>, directly.
Class <code>"Matrix"</code>, by class <code>"nMatrix"</code>.
Class <code>"Matrix"</code>, by class <code>"denseMatrix"</code>.

Extends

<dl>
 <dt>%*%</dt>
<dd><code>signature(x = "nsparseMatrix", y = "ndenseMatrix")</code>: ...</dd> <dt>%*%</dt>
<dd><code>signature(x = "ndenseMatrix", y = "nsparseMatrix")</code>: ...</dd> <dt>coerce</dt>
<dd><code>signature(from = "matrix", to = "ndenseMatrix")</code>: ...</dd> <dt>coerce</dt>
<dd><code>signature(from = "ndenseMatrix", to = "matrix")</code>: ...</dd> <dt>crossprod</dt>
<dd><code>signature(x = "nsparseMatrix", y = "ndenseMatrix")</code>: ...</dd> <dt>crossprod</dt>
<dd><code>signature(x = "ndenseMatrix", y = "nsparseMatrix")</code>: ...</dd> <dt>as.vector</dt>
<dd><code>signature(x = "ndenseMatrix", mode = "missing")</code>: ...</dd> <dt>diag</dt>
<dd><code>signature(x = "ndenseMatrix")</code>: extracts the
 diagonal as for all matrices, see the generic <code><a href="/link/diag?package=Matrix&version=1.4-1" data-mini-rdoc="Matrix::diag">diag</a>()</code>.</dd> <dt>which</dt>
<dd><code>signature(x = "ndenseMatrix")</code>, semantically
 equivalent to base function <code><a href="/link/which?package=Matrix&version=1.4-1" data-mini-rdoc="Matrix::which">which</a>(x, arr.ind)</code>;
 for details, see the <code>lMatrix</code> class documentation.</dd> 
</dl>

Methods

Virtual Class "ndenseMatrix" of Dense Logical Matrices — ndenseMatrix-class

<dl>
 <dt><code>x</code>:</dt>
<dd>logical vector containing the entries of the matrix.</dd>

 <dt><code>Dim</code>, <code>Dimnames</code>:</dt>
<dd>see <code>Matrix</code>.</dd>

 
</dl>

<dl>
 <dt>%*%</dt>
<dd><code>signature(x = "nsparseMatrix", y = "ndenseMatrix")</code>: ...</dd>

 <dt>%*%</dt>
<dd><code>signature(x = "ndenseMatrix", y = "nsparseMatrix")</code>: ...</dd>

 <dt>coerce</dt>
<dd><code>signature(from = "matrix", to = "ndenseMatrix")</code>: ...</dd>

 <dt>coerce</dt>
<dd><code>signature(from = "ndenseMatrix", to = "matrix")</code>: ...</dd>

 <dt>crossprod</dt>
<dd><code>signature(x = "nsparseMatrix", y = "ndenseMatrix")</code>: ...</dd>

 <dt>crossprod</dt>
<dd><code>signature(x = "ndenseMatrix", y = "nsparseMatrix")</code>: ...</dd>

 <dt>as.vector</dt>
<dd><code>signature(x = "ndenseMatrix", mode = "missing")</code>: ...</dd>

 <dt>diag</dt>
<dd><code>signature(x = "ndenseMatrix")</code>: extracts the
 diagonal as for all matrices, see the generic <code><a href='https://rdrr.io/r/base/diag.html'>diag</a>()</code>.</dd>

 <dt>which</dt>
<dd><code>signature(x = "ndenseMatrix")</code>, semantically
 equivalent to base function <code><a href='https://rdrr.io/r/base/which.html'>which</a>(x, arr.ind)</code>;
 for details, see the <code>lMatrix</code> class documentation.</dd>

 
</dl>

Virtual Class "ndenseMatrix" of Dense Logical Matrices

ndenseMatrix-class: Virtual Class "ndenseMatrix" of Dense Logical Matrices

Description

Arguments

Slots

Extends

Methods

See Also

Examples