# rmanovab: A heteroscedastic one-way repeated measures bootstrap ANOVA... In WRS2: A Collection of Robust Statistical Methods

 rmanovab R Documentation

## A heteroscedastic one-way repeated measures bootstrap ANOVA for trimmed means.

### Description

The `rmanovab` function computes a bootstrap version of the one-way repeated measures ANOVA for the trimmed means. Homoscedasticity assumption not required. Corresponding post hoc tests can be performed using `pairdepb`.

### Usage

``````rmanovab(y, groups, blocks, tr = 0.2, nboot = 599, ...)
pairdepb(y, groups, blocks, tr = 0.2, nboot = 599, ...)
``````

### Arguments

 `y` a numeric vector of data values (response). `groups` a vector giving the group of the corresponding elements of y. `blocks` a vector giving the block of the corresponding elements of y. `tr` trim level for the mean. `nboot` number of bootstrap samples. `...` currently ignored.

### Value

`rmanovab` an object of class `"rmanovab"` containing:

 `test` value of the test statistic `crit` critical value `call` function call

`pairdepb` returns an object of class `"mcp2"` containing:

 `comp` inference for all pairwise comparisons `fnames` names of the factor levels

### References

Wilcox, R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Elsevier.

`rmanova`

### Examples

``````set.seed(123)
rmanovab(WineTasting\$Taste, WineTasting\$Wine, WineTasting\$Taster, nboot = 300)

## post hoc
set.seed(123)
pairdepb(WineTasting\$Taste, WineTasting\$Wine, WineTasting\$Taster, nboot = 300)

``````

WRS2 documentation built on May 29, 2024, 7:37 a.m.