getDesignMatrix {glmmBUGS}R Documentation

Computes a design matrix from factors and interactions

Description

Converts all factors and interactions to indicator variables, suitable for passing to WinBUGS.

Usage

getDesignMatrix(formula, data, effects = NULL)

Arguments

formula A formula object specifying the fixed effects for the model
data A data frame containing the covariates and factors for random effects
effects A vector of character strings containing the grouping levels, from most general to most specific

Details

The most populous level of a factor is made the baseline.

Value

A matrix containing the covariates, the response(s), and the random effect factors. Also attributes

covariates A list giving the covariates which apply at each level, suitable for passing to winBugsRaggedArray
response A vector of character strings giving the responses

Author(s)

Patrick Brown

See Also

winBugsRaggedArray, glmmBUGS

Examples

library(nlme)
data(Muscle)
muscleDesign = getDesignMatrix(conc ~ length, data=Muscle, effects="Strip" )
attributes(muscleDesign)$covariates
attributes(muscleDesign)$response

[Package glmmBUGS version 1.5 Index]