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TripleR (version 1.5.4)

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

Description

Social Relation Model (SRM) analyses for single or multiple round-robin groups are performed. These analyses are either based on one manifest variable, one latent construct measured by two manifest variables, two manifest variables and their bivariate relations, or two latent constructs each measured by two manifest variables. Within-group t-tests for variance components and covariances are provided for single groups. For multiple groups two types of significance tests are provided: between-groups t-tests (as in SOREMO) and enhanced standard errors based on Lashley and Bond (1997) . Handling for missing values is provided.

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Version

Install

install.packages('TripleR')

Monthly Downloads

560

Version

1.5.4

License

GPL (>= 2)

Maintainer

Felix Schnbrodt

Last Published

April 26th, 2022

Functions in TripleR (1.5.4)

plot.RRuni

Plot variance components from SRAs
TripleR-package

Triple R: A Package for Round-Robin Analyses Using R
long2matrix

Convert long format to a quadratic matrix
matrix2long

Convert a quadratic matrix to long format
RR.summary

Print group descriptives
getEffects

Calculates round robin effects for multiple variables
RR.style

Set labeling styles for RR analyses
plot_missings

Plot missing values
RR

Triple R: Round-Robin Analyses Using R
parCor

partial correlation
selfCor

partial correlation