getDesignMatrix {glmmBUGS} | R Documentation |
Converts all factors and interactions to indicator variables, suitable for passing to WinBUGS.
getDesignMatrix(formula, data, effects = NULL)
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 |
The most populous level of a factor is made the baseline.
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 |
Patrick Brown
library(nlme) data(Muscle) muscleDesign = getDesignMatrix(conc ~ length, data=Muscle, effects="Strip" ) attributes(muscleDesign)$covariates attributes(muscleDesign)$response