partial.cor: Partial Correlations

Description Usage Arguments Value Author(s) See Also Examples

View source: R/partial.cor.R

Description

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

Usage

1
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.

Author(s)

John Fox jfox@mcmaster.ca

See Also

cor

Examples

1
2
3
    data(DavisThin, package="car")
    partial.cor(DavisThin)
    partial.cor(DavisThin, tests=TRUE)

RcmdrMisc documentation built on May 29, 2017, 1:53 p.m.

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