partial.cor: Partial Correlations

Description Usage Arguments Value Author(s) See Also Examples

View source: R/utilities.R

Description

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

Usage

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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 [email protected]

See Also

cor

Examples

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

Rcmdr2 documentation built on May 31, 2017, 5:03 a.m.