klefsjo.ifr: Klefsjo's IFR

In NSM3: Functions and Datasets to Accompany Hollander, Wolfe, and Chicken - Nonparametric Statistical Methods, Third Edition

Klefsjo's IFR

Description

Function to compute the P-value for the observed Klefsjo's A* statistic.

Usage

klefsjo.ifr (x, alternative = "two.sided", exact=FALSE)

Arguments

x	a vector of data of length n
alternative	the direction of the alternative hypothesis. The choices are two.sided, ifr and dfr with the default value being two.sided.
exact	TRUE/FALSE value that determines whether the exact test or the large sample approximation is used if n >= 9. If n < 9 the exact test is used. The default value is FALSE, so the large sample approximation will be used unless specified not to.

Details

If the sample size is too large to allow for an exact value, due to duplicate coefficients, a note will be displayed and the large sample approximation will be used.

Value

The function returns a list with two elements:

A.star	the value of the Klefsjo statistic
p	the corresponding probability

Author(s)

Rachel Becvarik

Examples

velocity<-c(12.8, 12.9, 13.3, 13.4, 13.7, 13.8, 14.5)
klefsjo.ifr(velocity)

#Example of forced Large Sample Approximation
tb<-c(43, 45, 53, 56, 56, 57, 58, 66, 67, 73, 74, 79, 80, 80, 81, 81, 81, 82, 83, 83, 84, 88,
89,  91,  91,  92,  92,  97,  99,  99, 100, 100, 101, 102, 102, 102, 103, 104, 107, 108, 109,
113, 114, 118, 121, 123, 126, 128, 137, 138, 139, 144, 145, 147, 156, 162, 174, 178, 179, 184,
191, 198, 211, 214, 243, 249, 329, 380, 403, 511, 522, 598)
klefsjo.ifr(tb, exact=TRUE)

NSM3 documentation built on Nov. 4, 2024, 5:08 p.m.