R: Design matrices for Bayes factor linear models analyses.

model.matrix,BFBayesFactor-method {BayesFactor} | R Documentation

## Design matrices for Bayes factor linear models analyses.

### Description

This function returns the design matrix used for computation of the Bayes factor for the numerator of a `BFBayesFactor` object. There must not be more than one numerator in the `BFBayesFactor` object.

### Usage

    ## S4 method for signature 'BFBayesFactor'
    model.matrix(object, ...)

    ## S4 method for signature 'BFBayesFactorTop'
    model.matrix(object, ...)

### Arguments

`object` | a BayesFactor object with a single numerator
`...` | arguments passed to and from related methods

### Value

Returns the design matrix for the corresponding model. The 'gMap' attribute of the returned matrix contains the mapping from columns of the design matrix to g parameters

### References

Rouder, J. N., Morey, R. D., Speckman, P. L., Province, J. M., (2012) Default Bayes Factors for ANOVA Designs. Journal of Mathematical Psychology. 56. p. 356-374.

### Examples

    ## Gets the design matrix for a simple analysis
    data(sleep)

    bf = anovaBF(extra ~ group + ID, data = sleep, whichRandom="ID", progress=FALSE)
    X = model.matrix(bf)

    ## Show dimensions of X (should be 20 by 12)
    dim(X)

[Package BayesFactor version 0.9.12-4.2 Index]