| modelMatrix-class {MatrixModels} | R Documentation |
The class "modelMatrix" and notably its subclass
"dsparseModelMatrix" are used to encode additional information,
analogously to what the standard R function
model.matrix() returns.
Only "dsparseModelMatrix" and "ddenseModelMatrix" are
“actual” (aka non-virtual) classes. For these,
objects can be created by calls of the form
new("dsparseModelMatrix", x, assign, contrast), where x
is a dgCMatrix classed object.
The "modelMatrix" mother class contains
Matrix plus two extra slots,
assign:"integer" vector of length
ncol(.), coding the variables which make up the
matrix columns, see model.matrix.
contrasts:a named list of
contrasts, as in model.matrix().
Dim:integer vector of length two with the matrix dimensions.
Dimnames:list of length two, the
dimnames(.) of the matrix.
whereas the (current only) actual classes "d*ModelMatrix",
have an at least an additional (numeric slot "x".
E.g., "dsparseModelMatrix" has the additional slots
i,p:row number and “pointer” integer
vectors, see class "dgCMatrix".
x:"numeric" vector of non-zero entries.
factors:a (possibly empty) list of
factorizations.
"dsparseModelMatrix" extends class "dgCMatrix" directly,
"ddenseModelMatrix" extends class "dgeMatrix" directly.
signature(object = "modelMatrix"):
show(.) the matrix, but also the assign and
contrasts slots.
signature(x = "modelMatrix"): as show(),
however (via ...) allowing to pass further arguments for
printing the matrix.
Martin Maechler
sparse.model.matrix will return a
"dsparseModelMatrix" object.
model.Matrix which is a simple wrapper around the traditional
model.matrix and returns a "ddenseModelMatrix" object.
showClass("modelMatrix")
showClass("dsparseModelMatrix")
## see example(model.Matrix)