leveneTests: Levene Tests of Homogeneity of Variances

In heplots: Visualizing Hypothesis Tests in Multivariate Linear Models

Description

This function extends leveneTest to a multivariate response setting. It performs the Levene test of homogeneity of variances for each of a set of response variables, and prints a compact summary.

Usage

leveneTests(y, group, center = median, ...)

Arguments

y	A data frame or matrix of numeric response variables in a multivariate linear model.
group	a vector or factor object giving the group for the corresponding elements of the rows of y
center	The name of a function to compute the center of each group; mean gives the original Levene's (1960) test; the default, median, provides a more robust test suggested by Brown and Forsythe (1974).
...	other arguments, passed to leveneTest

Value

An object of classes "anova" and "data.frame", with one observation for each response variable in y.

Author(s)

Michael Friendly

References

Levene, H. (1960). Robust Tests for Equality of Variances. In Olkin, I. etal. (Eds.), Contributions to Probability and Statistics: Essays in Honor of Harold Hotelling, Stanford University Press, 278-292.

Brown, M. B. & Forsythe, A. B. (1974). Robust Tests For Equality Of Variances Journal of the American Statistical Association, 69, 364-367.

See Also

leveneTest, bartlettTests

Examples

leveneTests(iris[,1:4], iris$Species)

# handle a 1-column response?
leveneTests(iris[,1, drop=FALSE], iris$Species)

data(Skulls, package="heplots")
leveneTests(Skulls[,-1], Skulls$epoch)

heplots documentation built on May 31, 2017, 4:54 a.m.