model.matrix.reStruct: reStruct Model Matrix

In nlme: Linear and Nonlinear Mixed Effects Models

reStruct Model Matrix

Description

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).

Usage

## S3 method for class 'reStruct'
model.matrix(object, data, contrast, ...)

Arguments

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.

Value

a matrix obtained by binding together, column-wise, the model matrices for each element of formula(object).

Author(s)

José Pinheiro and Douglas Bates [e-mail]

See Also

model.matrix, contrasts, reStruct, formula.reStruct

Examples

rs1 <- reStruct(list(Dog = ~day, Side = ~1), data = Pixel)
model.matrix(rs1, Pixel)

nlme documentation built on Nov. 27, 2023, 5:09 p.m.