mood.test {stats} R Documentation

## Mood Two-Sample Test of Scale

### Description

Performs Mood's two-sample test for a difference in scale parameters.

### Usage

mood.test(x, ...)

## Default S3 method:
mood.test(x, y,
alternative = c("two.sided", "less", "greater"), ...)

## S3 method for class 'formula'
mood.test(formula, data, subset, na.action, ...)


### Arguments

 x, y numeric vectors of data values. alternative indicates the alternative hypothesis and must be one of "two.sided" (default), "greater" or "less" all of which can be abbreviated. formula a formula of the form lhs ~ rhs where lhs is a numeric variable giving the data values and rhs a factor with two levels giving the corresponding groups. data an optional matrix or data frame (or similar: see model.frame) containing the variables in the formula formula. By default the variables are taken from environment(formula). subset an optional vector specifying a subset of observations to be used. na.action a function which indicates what should happen when the data contain NAs. Defaults to getOption("na.action"). ... further arguments to be passed to or from methods.

### Details

The underlying model is that the two samples are drawn from f(x-l) and f((x-l)/s)/s, respectively, where l is a common location parameter and s is a scale parameter.

The null hypothesis is s = 1.

There are more useful tests for this problem.

In the case of ties, the formulation of Mielke (1967) is employed.

### Value

A list with class "htest" containing the following components:

 statistic the value of the test statistic. p.value the p-value of the test. alternative a character string describing the alternative hypothesis. You can specify just the initial letter. method the character string "Mood two-sample test of scale". data.name a character string giving the names of the data.

### References

William J. Conover (1971), Practical nonparametric statistics. New York: John Wiley & Sons. Pages 234f.

Paul W. Mielke, Jr. (1967). Note on some squared rank tests with existing ties. Technometrics, 9/2, 312–314. doi:10.2307/1266427.

fligner.test for a rank-based (nonparametric) k-sample test for homogeneity of variances; ansari.test for another rank-based two-sample test for a difference in scale parameters; var.test and bartlett.test for parametric tests for the homogeneity in variance.

### Examples

## Same data as for the Ansari-Bradley test:
## Serum iron determination using Hyland control sera
ramsay <- c(111, 107, 100, 99, 102, 106, 109, 108, 104, 99,
101, 96, 97, 102, 107, 113, 116, 113, 110, 98)
jung.parekh <- c(107, 108, 106, 98, 105, 103, 110, 105, 104,
100, 96, 108, 103, 104, 114, 114, 113, 108, 106, 99)
mood.test(ramsay, jung.parekh)
## Compare this to ansari.test(ramsay, jung.parekh)


[Package stats version 4.3.0 Index]