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

1
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 kloke@biostat.wisc.edu, 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

1
2
3
x<-rnorm(18)
y<-rnorm(22)*3
fk.test(x,y)

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