partial.cor: Partial Correlations

View source: R/partial.cor.R

partial.corR Documentation

Partial Correlations

Description

Partial Correlations

Usage

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

## S3 method for class 'partial.cor'
print(x, digits = max(3, getOption("digits") - 2), ...)

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".

x

data matrix.

digits

minimal number of _significant_ digits, see print.default.

...

arguments to pass down from the print method.

Details

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

Value

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

Author(s)

John Fox

See Also

cor

Examples

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


RcmdrMisc documentation built on Jan. 8, 2026, 9:06 a.m.