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 |

DAMisc documentation built on May 30, 2017, 8:12 a.m.

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