# mood.test

0th

Percentile

##### Mood Two-Sample Test of Scale

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

Keywords
htest
##### Usage
mood.test(x, …)# S3 method for default
mood.test(x, y,
alternative = c("two.sided", "less", "greater"), …)# S3 method for 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. 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.

##### Aliases
• mood.test
• mood.test.default
• mood.test.formula
##### Examples
library(stats) # NOT RUN { ## 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) # } 
Documentation reproduced from package stats, version 3.6.0, License: Part of R 3.6.0

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