PairedData (version 0.5)

bonett.seier.test: Bonett-Seier test of scale for paired samples

Description

Robust test of scale for paired samples based on the mean absolute deviations.

Usage

bonett.seier.test(x, y = NULL, alternative = c("two.sided", "less", "greater"),
         omega = 1, conf.level = 0.95)

Arguments

x

First sample

y

Second sample

alternative

Alternative hypothesis

omega

A priori ratio of means absolute deviations

conf.level

Confidence level

Value

• A list with class "htest" containing the following components:
• statistic
  The value of the t-statistic
• p.value
  The p-value for the test
• conf.int
  A confidence interval for the ratio of means absolute deviations appropriate to the specified alternative hypothesis
• estimate
  The estimated means absolute deviations
• null.value
  The specified hypothesized value of the ratio of means absolute deviations
• alternative
  A character string describing the alternative hypothesis
• method
  A character string indicating what type of test was performed
• data.name
  A character string giving the name(s) of the data

References

D.G. Bonett and E. Seier. Statistical inference for a ratio of dispersions using paired samples. Journal of Educational and Behavioral Statistics, 28, 21-30, 2003.

See Also

var.test, pitman.morgan.test, grambsch.test

Examples

z<-rnorm(20)
x<-rnorm(20)+z
y<-(rnorm(20)+z)*2
bonett.seier.test(x,y)