HH: hovBF – R documentation

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hovBF

Homogeneity of Variance: Brown–Forsyth method

Description

Homogeneity of Variance: Brown–Forsyth method

Usage

hovBF(x, data=NULL, ..., na.rm = TRUE)
hovplotBF(x, data, ..., na.rm = TRUE,
          main = "Brown-Forsyth Homogeneity of Variance", plotmath = TRUE)

Arguments

`x`	Model formula with one response variable and one factor.
`data`	`data.frame`
`...`	Other arguments. `hovplotBF` sends them on to the panel function. `hovBF` ignores them.
`na.rm`	A logical value indicating whether 'NA' values should be stripped before the computation proceeds. See `median`.
`main`	`main` title for the plot.
`plotmath`	Logical. When `TRUE` (the default) the strip labels use `plotmath`. When `FALSE` the strip labels use ASCII.

Value

hovplotBF returns a three-panel trellis object. hovBF returns an htest object.

Author(s)

Richard M. Heiberger <rmh@temple.edu>

References

Brown, M.~B. and Forsyth, A.~B. (1974). “Robust tests for equality of variances.” Journal of the American Statistical Association, 69:364–367.

Examples

data(batch)
batch1.aov <- aov(Calcium ~ Batch, data=batch)
anova(batch1.aov)
hovBF(Calcium ~ Batch, data=batch)
hovplotBF(Calcium ~ Batch, data=batch)

HH

Statistical Analysis and Data Display: Heiberger and Holland

v3.1-43

GPL (>= 2)

Authors

Richard M. Heiberger

Initial release

2020-11-27