# BFBayesFactorList-class: General S4 class for representing a collection of Bayes... In BayesFactor: Computation of Bayes Factors for Common Designs

 BFBayesFactorList-class R Documentation

## General S4 class for representing a collection of Bayes factor model comprisons, each against a different denominator

### Description

The `BFBayesFactorList` class is a general S4 class for representing models model comparison via Bayes factor. See the examples for demonstrations of BFBayesFactorList methods.

### Usage

``````## S4 method for signature 'BFBayesFactorList'
t(x)

## S4 method for signature 'numeric,BFBayesFactorList'
e1 / e2

## S4 method for signature 'BFBayesFactorList,index,index,missing'
x[i, j, ..., drop = TRUE]

## S4 method for signature 'BFBayesFactorList,index,missing,missing'
x[i, j, ..., drop = TRUE]

## S4 method for signature 'BFBayesFactorList,missing,index,missing'
x[i, j, ..., drop = TRUE]
``````

### Arguments

 `x` a BFBayesFactorList object `e1` Numerator of the ratio `e2` Denominator of the ratio `i` indices specifying rows to extract `j` indices specifying columns to extract `...` further arguments passed to related methods `drop` unused

### Details

`BFBayesFactorList` objects inherit from lists, and contain a single slot:

version

character string giving the version and revision number of the package that the model was created in

Each element of the list contains a single `"BFBayesFactor"` object. Each element of the list must have the same numerators, in the same order, as all the others. The list object is displayed as a matrix of Bayes factors.

### Examples

``````## Compute some Bayes factors to demonstrate Bayes factor lists
data(puzzles)
bfs <- anovaBF(RT ~ shape*color + ID, data = puzzles, whichRandom = "ID", progress=FALSE)

## Create a matrix of Bayes factors
bfList <- bfs / bfs
bfList

## Use indexing to select parts of the 'matrix'
bfList[1,]
bfList[,1]

## We can use the t (transpose) function as well, to get back a BFBayesFactor
t(bfList[2,])

## Or transpose the whole matrix
t(bfList)
``````

BayesFactor documentation built on Sept. 22, 2023, 1:06 a.m.