BGMtest {DAMisc} R Documentation

## Tests the five Berry, Golder and Milton (2012) Interactive Hypothesis

### Description

This function tests the five hypotheses that Berry, Golder and Milton identify as important when two quantitative variables are interacted in a linear model.

### Usage

BGMtest(obj, vars, digits = 3, level = 0.05, two.sided = TRUE)


### Arguments

 obj An object of class lm. vars A vector of two variable names giving the two quantitative variables involved in the interaction. These variables must be involved in one, and only one, interaction. digits Number of digits to be printed in the summary. level Type I error rate for the tests. two.sided Logical indicating whether the tests should be two-sided (if TRUE, the default) or one-sided (if FALSE).

### Value

A matrix giving five t-tests.

Dave Armstrong

### Examples


data(Duncan, package="carData")
mod <- lm(prestige ~ income*education + type, data=Duncan)
BGMtest(mod, c("income", "education"))



[Package DAMisc version 1.7.2 Index]