Bonett.Seier.test {intervcomp} | R Documentation |
Bonett-Seier Test for Equality of Variability Measures
Description
Bonett-Seier t-test for comparing variability measures of two independent samples.
Usage
Bonett.Seier.test(x, y, alternative = c("two.sided", "less", "greater"),
alpha = 0.05)
Arguments
x |
A vector specifying the first sample. |
y |
A vector specifying the second sample. |
alternative |
A character string specifying the alternative hypothesis; "two.sided" for two-tailed, "less" for left-tailed, and "greater" for right-tailed alternative hypothesis. The default option is "two.sided". |
alpha |
A numeric specifying the significance level. The default option is 0.05. |
Value
Statistic |
The test statistic. |
p.value |
The p-value. |
Estimate |
The ratio of variability measures. |
Lower.CI |
The lower bound of the confidence interval. |
Upper.CI |
The upper bound of the confidence interval. |
Examples
set.seed(123)
x<-runif(10)
y<-runif(15)
Bonett.Seier.test(x,y,"two.sided",0.05)
[Package intervcomp version 0.1.2 Index]