testHypotheses: Test Multiple Hypotheses

In hardmanko/CMBBHT: Cell Means Based Bayesian Hypothesis Tests

Test Multiple Hypotheses

Description

Convenience function for testing multiple hypotheses. E.g., for a two factor design, you could test the main effects of A and B plus the interaction of A and B. If using testHypothesis you would need to call that function three times, but this function requires only one function call.

Usage

testHypotheses(prior, post, factors, testedFactors, dmFactors = testedFactors,
  contrastType = NULL, testFunction = testFunction_SDDR,
  usedFactorLevels = NULL, testName = testedFactors)

Arguments

prior	See testHypothesis.
post	See testHypothesis.
factors	See testHypothesis.
testedFactors	Character vector (or list). Interactions should be indicated by putting colons between factor names. For example, the interaction of A and B is given by "A:B". The order of factor names does not matter. If a list, the elements should not be named.
dmFactors	Character vector (or list) of the same length as testedFactors.
contrastType	See testHypothesis.
testFunction	See testHypothesis.
usedFactorLevels	List of data frames. If provided, should be the same length as testedFactors.
testName	Character vector (or list). An optional name for the tests. If provided, should be the same length as testedFactors.

Value

A data.frame with one test on each row.

Examples

## Not run: 
prior = getPrior()
post = getPost()
factors = data.frame(let = c('A', 'A', 'B', 'B'),
num = c('1', '2', '1', '2'))
# Test both main effects and the interaction
testHypotheses(prior, post, factors, 
  testedFactors = c('let', 'num', 'let:num'))


## End(Not run)

hardmanko/CMBBHT documentation built on June 9, 2022, 12:44 a.m.