RVAideMemoire (version 0.9-11)

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

Description

Perform a permutational Pearson's product-moment correlation test.

Usage

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

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.

Value

• statistic
  test statistics of the parametric test.
• permutations
  number of permutations.
• p.value
  p-value of the permutational test.
• estimate
  the estimated correlation coefficient.
• alternative
  a character string describing the alternative hypothesis.
• H1
  a character string giving the explicit alternative hypothesis.
• data.name
  a character string giving the names of the data.
• conf.int
  the 95% confidence interval for the correlation coefficient.

See Also

cor.test

Examples

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