# hovBF: Homogeneity of Variance: Brown-Forsyth method In HH: Statistical Analysis and Data Display: Heiberger and Holland

 hovBF R Documentation

## 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 documentation built on Aug. 9, 2022, 5:08 p.m.