reveal.model.designs {RRPP} | R Documentation |
Reveal model designs used in lm.rrpp fit
Description
Function returns every full and reduced model for model terms used in
lm.rrpp fits. This function is useful for revealing
the null and full model that would be used in the pairwise function,
if a specific null model is not declared as an argument
(fit.null in the pairwise
function).
It also helps to demonstrate how sums of squares and cross-products
(SSCP) are calculated in lm.rrpp permutations (iterations),
from the difference between fitted values for null and full designs.
Usage
reveal.model.designs(fit)
Arguments
fit |
A linear model fit from |
Author(s)
Michael Collyer
Examples
data(Pupfish)
fit1 <- lm.rrpp(coords~ Pop*Sex, data = Pupfish,
SS.type = "I", print.progress = FALSE, iter = 0)
fit2 <- lm.rrpp(coords~ Pop*Sex, data = Pupfish,
SS.type = "II", print.progress = FALSE, iter = 0)
fit3 <- lm.rrpp(coords~ Pop*Sex, data = Pupfish,
SS.type = "III", print.progress = FALSE, iter = 0)
reveal.model.designs(fit1)
reveal.model.designs(fit2)
reveal.model.designs(fit3)
[Package RRPP version 2.0.3 Index]