srmRun: Run the Social Relations Model using Multilevel Modeling
In andrewpknight/roundRobinR: Manipulate and Analyze Round Robin Dyadic Data

Description Usage Arguments Value Examples

View source: R/srmRun.R

This is a wrapper function to efficiently run the social relations model with a basic directed dyad-level dataset. The function will create the necessary dummy variables and build out the correct formula for lme.

1	srmRun(dv, groupId, actId, partId, feVars = NULL, data)

`dv`	string giving the name of the directed dyadic criterion variable
`groupId`	string giving the name of the group identifier variable
`actId`	string giving the name of the actor identifier variable
`partId`	string giving the name of the partner identifier variable
`feVars`	vector containing the names of fixed effect variables
`data`	data.frame at the directed dyad level

a list with two items:

lme.output is the full lme output object
srm.output is the variance decomposition with reciprocity correlations

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o = srmRun(dv="liking", groupId="groupId", actId="actId", partId="partId",
feVars=c("actEx", "partEx", "contact"),
data=sampleDyadData[sampleDyadData$timeId==1, ])