srmVarPct: Extract Variance Decomposition Results from pdSRM Output

In andrewpknight/roundRobinR: Manipulate and Analyze Round Robin Dyadic Data

Description

Returns the breakdown of variance components and reciprocity correlations from the output of a multilevel model fitting the SRM according to the dummy variable specification.

Usage

srmVarPct(object)

Arguments

object

an lme output object with the SRM structure

Value

data.frame with the variance-covariance parameters, percentages, and the reciprocity correlations

Examples

o = srmVarPct(nlme::lme(liking ~ 1, random=list(groupId=nlme::pdBlocked(list(nlme::pdIdent(~1),
pdSRM(~-1 + a1 + a2 + a3 + a4 + p1 + p2 + p3 + p4)))),
correlation=nlme::corCompSymm(form=~1 | groupId/pdSRM_dyad_id),
data=
createDummies(group.id="groupId", act.id="actId", part.id="partId",
d=sampleDyadData[sampleDyadData$timeId==1, ],
merge.original=TRUE), na.action=na.omit))

andrewpknight/roundRobinR documentation built on Dec. 19, 2021, 3:34 a.m.