perm.cor.test: Permutation Pearson's correlation test

In RVAideMemoire: Testing and Plotting Procedures for Biostatistics

Permutation Pearson's correlation test

Description

Performs a permutation Pearson's product-moment correlation test.

Usage

perm.cor.test(x, y, alternative = c("two.sided", "less", "greater"),
  nperm = 999, progress = TRUE)

Arguments

x, y	numeric vectors of data values. x and y must have the same length.
alternative	a character string specifying the alternative hypothesis, must be one of "two.sided" (default), "greater" or "less".
nperm	number of permutations.
progress	logical indicating if the progress bar should be displayed.

Details

The function deals with the limitted floating point precision, which can bias calculation of p-values based on a discrete test statistic distribution.

Value

method	name of the test.
data.name	a character string giving the name(s) of the data.
statistic	test statistics of the parametric test.
permutations	number of permutations.
p.value	p-value of the permutation test.
estimate	the estimated correlation coefficient.
alternative	a character string describing the alternative hypothesis.
null.value	the value of the association measure under the null hypothesis, always 0.

Author(s)

Maxime HERVE <[e-mail]>

See Also

cor.test

Examples

x <- rnorm(50)
y <- runif(50)
perm.cor.test(x,y)

RVAideMemoire documentation built on Nov. 6, 2023, 5:07 p.m.