leveneTest {car} | R Documentation

## Levene's Test

### Description

Computes Levene's test for homogeneity of variance across groups.

### Usage

    leveneTest(y, ...)
    ## S3 method for class 'formula'
    leveneTest(y, data, ...)
    ## S3 method for class 'lm'
    leveneTest(y, ...)
    ## Default S3 method:
    leveneTest(y, group, center=median, ...)

### Arguments

`y` | response variable for the default method, or a `lm` or `formula` object. If `y` is a linear-model object or a formula, the variables on the right-hand-side of the model must all be factors and must be completely crossed.
`group` | factor defining groups.
`center` | The name of a function to compute the center of each group; `mean` gives the original Levene's test; the default, `median`, provides a more robust test.
`data` | a data frame for evaluating the `formula`.
`...` | arguments to be passed down, e.g., `data` for the `formula` and `lm` methods; can also be used to pass arguments to the function given by `center` (e.g., `center=mean` and `trim=0.1` specify the 10% trimmed mean).

### Value

returns an object meant to be printed showing the results of the test.

### Note

adapted from a response posted by Brian Ripley to the r-help email list.

### Author(s)

John Fox jfox@mcmaster.ca; original generic version contributed by Derek Ogle

### References

Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models, Third Edition. Sage.

Fox, J. and Weisberg, S. (2019) An R Companion to Applied Regression, Third Edition, Sage.

### Examples

    with(Moore, leveneTest(conformity, fcategory))
    with(Moore, leveneTest(conformity, interaction(fcategory, partner.status)))
    leveneTest(conformity ~ fcategory*partner.status, data=Moore)
    leveneTest(lm(conformity ~ fcategory*partner.status, data=Moore))
    leveneTest(conformity ~ fcategory*partner.status, data=Moore, center=mean)
    leveneTest(conformity ~ fcategory*partner.status, data=Moore, center=mean, trim=0.1)

[Package car version 3.0-0 Index]