selfCor: partial correlation

In TripleR: Social Relation Model (SRM) Analyses for Single or Multiple Groups

partial correlation

Description

Performs partial correlations between x and y, controlled for z.

Usage

selfCor(x, digits=3, measure=NA)

Arguments

x	An RR object
digits	Digits to which values are rounded in the output
measure	Either "behavior" or "percetion". Only affects labeling of output; if NA, the current setting of RR.style is taken as default.

Details

Prints correlations between self ratings (if present in the round robin matrices) and SRA effects. In case of multiple groups, partial correlations are printed (controlled for group membership). The output of selfCor is also printed in the standard RR-ouput.

Value

A data frame with correlation coefficients and p values.

See Also

RR, getEffects

Examples

data(multiGroup)

RR.style("p")
# a single group
RR1 <- RR(ex~perceiver.id*target.id, data=multiGroup[multiGroup$group.id=="2", ], na.rm=TRUE)
selfCor(RR1)

# multiple groups
RR2 <- RR(ex~perceiver.id*target.id|group.id, data=multiGroup, na.rm=TRUE)
selfCor(RR2)

TripleR documentation built on April 26, 2022, 5:08 p.m.