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)
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