fp.test: Placement Test for the Behrens-Fisher problem.

Description Usage Arguments Details Value Author(s) References

View source: R/fp.test.r

Description

Returns the test based on placements for the Behrens-Fisher problem. This test was developed by Fligner and Policello (1981); see, also, Section 2.11 of Hettmansperger and McKean (2011) and Section 4.4 of Hollander and Wolfe (1999). The version computed by fp.test is discussed in Section 4.4 of Kloke and McKean (2014).

Usage

1
fp.test(x,y,delta0=0,alternative = "two.sided")

Arguments

x

vector of first sample responses

y

vector of second sample responses

delta0

null value tested

alternative

alternative indicator for hypotheses

Details

Returns the Placement Test for the Behrens-Fisher problem.

Value

statistic

chi-squared test statistic

p.value

p-value of the test

numerator

numerator of test statistic

denominator

denominator of test statistic

Author(s)

John Kloke [email protected], Joseph McKean

References

Fligner, M.~A. and Policello, G.~E. (1981), Robust rank procedures for the Behrens-Fisher problem, Journal of the American Statistical Association, 76, 162–168.

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

Hollander, M. and Wolfe, D.~A. (1999), Nonparametric statistical methods, 2nd Edition, New York: John Wiley \& Sons.

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


kloke/npsm documentation built on May 18, 2017, 9:42 p.m.