R: A heteroscedastic one-way repeated measures ANOVA for trimmed...

rmanova {WRS2} | R Documentation

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

### Description

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

### Usage

    rmanova(y, groups, blocks, tr = 0.2)
    rmmcp(y, groups, blocks, tr = 0.2)

### 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.

### Value

`rmanova` an object of class `"t1way"` containing:

`test` | value of the test statistic
`df1` | degrees of freedom
`df2` | degrees of freedom
`p.value` | p-value
`call` | function call

`rmmcp` returns an object of class `"mcp1"` 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.

### See Also

`med1way`, `t1way`

### Examples

    head(WineTasting)
    rmanova(WineTasting$Taste, WineTasting$Wine, WineTasting$Taster)

    ## post hoc
    rmmcp(WineTasting$Taste, WineTasting$Wine, WineTasting$Taster)

    head(bush)
    require(reshape)
    bushLong <- melt(bush, id.var = "participant", variable_name = "food")
    rmanova(bushLong$value, bushLong$food, bushLong$participant)

    ## post hoc
    rmmcp(bushLong$value, bushLong$food, bushLong$participant)

[Package WRS2 version 0.9-2 Index]