Rcmdr (version 2.0-4)

partial.cor: Partial Correlations

Description

Computes a matrix of partial correlations between each pair of variables controlling for the others.

Usage

partial.cor(X, tests=FALSE, use=c("complete.obs", "pairwise.complete.obs"))

Arguments

X

data matrix.

tests

show two-sided p-value and p-value adjusted for multiple testing by Holm's method for each partial correlation?

use

observations to use to compute partial correlations, default is "complete.obs".

Value

• Returns the matrix of partial correlations, optionally with adjusted and unadjusted p-values.

See Also

cor

Examples

data(DavisThin, package="car")
    partial.cor(DavisThin)
    partial.cor(DavisThin, tests=TRUE)