NSM3 (version 1.18)

klefsjo.ifr: 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)

Value

The function returns a list with two elements:

A.star

the value of the Klefsjo statistic

p

the corresponding probability

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.

Author

Rachel Becvarik

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.

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)