RcmdrMisc (version 2.7-0)

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

# NOT RUN {
    data(DavisThin, package="car")
    partial.cor(DavisThin)
    partial.cor(DavisThin, tests=TRUE)
# }