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

Description Usage Arguments Details Value Author(s) See Also Examples

View source: R/perm.cor.test.R

Description

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

Usage

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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 Herv<e9> <[email protected]>

See Also

cor.test

Examples

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

Example output

*** Package RVAideMemoire v 0.9-68 ***

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	Pearson's product-moment correlation - Permutation test

data:  x and y
999 permutations
t = -0.97854, p-value = 0.348
alternative hypothesis: true correlation is not equal to 0
sample estimates:
       cor 
-0.1398523 

RVAideMemoire documentation built on May 14, 2018, 5:07 p.m.