| model.matrix.reStruct {nlme} | R Documentation |
The model matrices for each element of formula(object),
calculated using data, are bound together column-wise. When
multiple grouping levels are present (i.e. when length(object) >
1), the individual model matrices are combined from innermost (at
the leftmost position) to outermost (at the rightmost position).
## S3 method for class 'reStruct': model.matrix(object, data, contrast, ...)
object |
an object inheriting from class reStruct,
representing a random effects structure and consisting of a list of
pdMat objects. |
data |
a data frame in which to evaluate the variables defined in
formula(object). |
contrast |
an optional named list specifying the contrasts to be used
for representing the factor variables in data. The
components names should match the names of the variables in
data for which the contrasts are to be specified. The
components of this list will be used as the contrasts
attribute of the corresponding factor. If missing, the default
contrast specification is used. |
... |
some methods for this generic require additional arguments. None are used in this method. |
a matrix obtained by binding together, column-wise, the model matrices
for each element of formula(object).
Jose Pinheiro Jose.Pinheiro@pharma.novartis.com and Douglas Bates bates@stat.wisc.edu
model.matrix, contrasts,
reStruct, formula.reStruct
data(Pixel) rs1 <- reStruct(list(Dog = ~day, Side = ~1), data = Pixel) model.matrix(rs1, Pixel)