equa3vartest {testequavar} | R Documentation |
Bootstrap test for equality of three (3) population variances
Description
Testing equality of three (3) population variances against the alternative that all variances are unequal.
Usage
equa3vartest(x1, x2, x3, a, B)
Arguments
x1 |
first sample vector of data or observations |
x2 |
second sample vector of data or observations |
x3 |
third sample vector of data or observations |
a |
significance level alpha |
B |
number of bootstrap samples. At least 500 is recommended. |
Value
list consisting of a non-numeric decision whether to reject the null hypothesis or not, the significance level, the number of bootstrap samples used, and the bootstrap P-value calculated using the Euclidean distance.
References
Cahoy, DO (2010), A Bootstrap Test For Equality Of Variances, Computational Statistics & Data Analysis, 54(10), 2306-2316. doi:10.1016/j.csda.2010.04.012
Examples
x1=sqrt(10)*runif(10, -sqrt(3), sqrt(3) )
x2=sqrt(1)*runif(10, -sqrt(3), sqrt(3) )
x3=sqrt(1)*runif(10, -sqrt(3), sqrt(3) )
equa3vartest(x1,x2,x3, a=0.05, B=1000)
equa3vartest( rexp(10) ,rexp(10) ,rexp(10) , a=0.01, B=1000)
[Package testequavar version 0.1.5 Index]