HH (version 3.1-42)

partial.corr: partial correlations

Description

The partial correlation of x and y conditioning on z is the ordinary correlation of the residuals from the regression of x on z and the regression of y on z.

Usage

partial.corr(vars, cond)

Arguments

vars

matrix of data.frame of all the variables to be correlated.

cond

matrix of data.frame of all the variables to be conditioned on.

Value

matrix of partial correlations of the numeric variables in the argument vars conditioning on the numeric variables in cond.

Examples

# NOT RUN {
if.R(r=
partial.corr(longley[,1:3], longley[,4:6])
,s=
partial.corr(longley.x[,1:3], longley.x[,4:6])
)
# }