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:

model.matrix(object, data, contr) 

REQUIRED 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).

OPTIONAL ARGUMENTS:

contr
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.

VALUE:

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

SEE ALSO:

, , ,

EXAMPLES:

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