AnovaMix: Mixed model least squares analysis of variance (mixed ANOVA).

In mixlm: Mixed Model ANOVA and Statistics for Education

Mixed model least squares analysis of variance (mixed ANOVA).

Description

Uses output from lm() in mixlm package to compute ANOVA table, variance components and errors.

Usage

AnovaMix(object, SStype)

Arguments

object	object fitted by lm (mixlm package) containing at least one random effect.
SStype	type of sums-of-squares (I/II/III) for Analysis of Variance.

Details

AnovaMix can either be invoked directly or through the Anova() function (with type III error).

Value

lm	linear model fitted by lm in package mixlm.
anova	ANOVA table.
err.terms	list of denominator information for F tests.
denom.df	numeric of denominator degrees of freedom for F tests.
restricted	logical indicating if ANOVA used restricted modelling.
exp.mean.sq	character containing expected mean squares.
var.comps	numeric containing variance components.
random.effects	character containing the random effects.
ind.randoms	numeric with indices of random effects in the model.
formula.text	character containing all effects of the model.

Note

Only balanced models are fully supported.

Author(s)

Kristian Hovde Liland

See Also

print.AnovaMix, Anova, lm

Examples

mydata <- data.frame(y = rnorm(12),
							  x = factor(c(rep(2,4),rep(1,4),rep(0,4))),
							  z = factor(rep(c(1,0),6)))
mixlm <- lm(y~x*r(z),
			data = mydata)
Anova(mixlm,type="III")

mixlm documentation built on Aug. 8, 2023, 5:08 p.m.