R: reStruct Model Matrix

model.matrix.reStruct {nlme} | R Documentation

## 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)

Jose Pinheiro and Douglas Bates bates@stat.wisc.edu

### See Also

`model.matrix`, `contrasts`, `reStruct`, `formula.reStruct`

### Examples

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

[Package nlme version 3.1-104 Index]