fk.test: Two-sample Fligner-Kileen test for homogeneous scales.

In npsm: Nonparametric Statistical Methods

Two-sample Fligner-Kileen test for homogeneous scales.

Description

Returns the Fligner-Kileen test for homogeneous scales for two-samples. Also estimates of ratio of scales based on the logs of folded median-aligned samples and a corresponding confidence interval is computed. fk.test computes the value of the statistic based on squared-normal scores following the optimal (for normal errors) such test described in Section 2.10 of Hettmansperger and McKean (2011). Hence, it will differ from the core R routine fligner.test; see the discussion in Section 3.3 of Kloke and McKean (2014).

Usage

fk.test(x,y,alternative = c("two.sided", "less", "greater"),conf.level = 0.95)

Arguments

x	vector of first sample responses
y	vector of second sample responses
alternative	alternative indicator for hypotheses
conf.level	confidence coefficient for the returned confidence intervals

Details

Returns the Fligner-Kileen test for the two-sample scale problem.

Value

statistic	chi-squared test statistic
p.value	p-value of the test
estimate	vector of estimates of ratio of scales
conf.int	table of confidence intervals

Author(s)

John Kloke, Joseph McKean

References

Kloke, J. and McKean, J.W. (2014), Nonparametric statistcal methods using R, Boca Raton, FL: Chapman-Hall.

Hettmansperger, T.P. and McKean J.W. (2011), Robust Nonparametric Statistical Methods, 2nd ed., New York: Chapman-Hall.

See Also

fkk.test

Examples

x<-rnorm(18)
y<-rnorm(22)*3
fk.test(x,y)

npsm documentation built on Nov. 15, 2023, 1:08 a.m.