fp.test: Fligner-Policello test

In RVAideMemoire: Testing and Plotting Procedures for Biostatistics

Fligner-Policello test

Description

Performs a Fligner-Policello test of the null that the medians in the two groups (samples) are the same.

Usage

fp.test(x, ...)

## Default S3 method:
fp.test(x, y, delta = 0, alternative = "two.sided", ...)

## S3 method for class 'formula'
fp.test(formula, data, subset, ...)

Arguments

x	a numeric vector of data values.
y	a numeric vector of data values.
delta	null difference in medians tested.
alternative	a character string specifying the alternative hypothesis, must be one of "two.sided" (default), "greater" or "less".
formula	a formula of the form a ~ b, where a and b give the data values and corresponding groups.
data	an optional data 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.
...	further arguments to be passed to or from other methods.

Details

The Fligner-Policello test does not assume that the shape of the distribution is similar in two groups, contrary to the Mann-Whitney-Wilcoxon test. However, it assumes that the the distributions are symmetric.

Value

statistic	test statistics.
p.value	p-value of the test.
alternative	a character string describing the alternative hypothesis.
method	a character string indicating the name of the test.
data.name	a character string giving the names of the data.
null.value	the specified hypothesized value of the median difference.

Author(s)

Maxime HERVE <[e-mail]>

See Also

wilcox.test

Examples

x <- rpois(20,3)
y <- rpois(20,5)
fp.test(x,y)

RVAideMemoire documentation built on Nov. 6, 2023, 5:07 p.m.