Description Usage Arguments Value Author(s) Examples
View source: R/DAMisc_functions.R
This function tests the five hypotheses that Berry, Golder and Milton identify as important when two quantitative variables are interacted in a linear model.
1 | BGMtest(obj, vars, digits = 3, level = 0.05, two.sided=T)
|
obj |
An object of class |
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 |
A matrix giving five t-tests.
Dave Armstrong (UW-Milwaukee, Department of Political Science)
1 2 3 4 |
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