equa4vartest: Bootstrap test for equality of four (4) population variances

In testequavar: Bootstrap Tests for Equality of 2, 3, or 4 Population Variances

Bootstrap test for equality of four (4) population variances

Description

Testing equality of four (4) population variances against the alternative that all variances are not equal.

Usage

equa4vartest(x1, x2, x3, x4, 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
x4	fourth 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. \Sexpr[results=rd]{tools:::Rd_expr_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) )
x4=sqrt(1)*runif(10, -sqrt(3), sqrt(3) )
equa4vartest(x1,x2,x3, x4, a=0.05, B=500)



equa4vartest(rexp(10) ,rexp(10) ,rexp(10) , rexp(10),  a=0.01, B=1000)

testequavar documentation built on Nov. 11, 2023, 1:07 a.m.