TripleR - Round Robin analyses in R

[Back, Dr. Mitja]

Dear colleagues and friends,

I am writing to you because you might be interested in social relations analyses based on round robin designs.

After months of fine tuning we (Stefan Schmukle, Felix Schï¿œnbrodt, & Mitja Back) now present the first official version of TripleR (Round Robin in R). TripleR is a package for the statistic software R that analyzes multivariate round robin data using a social relations model approach (Kenny, 1994; Kenny, Kashy, & Cook, 2006; Back, & Kenny, 2010). TripleR can be used for analyzing data based on a single, or on multiple round robin groups. We hope that TripleR will be an invaluable tool for all who apply round robin designs in their research.

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TripleR will help you to:

- perform (manifest and latent) univariate analyses (variance estimates, reciprocities; absolute, relative, significance test) for each variable

- perform (manifest and latent) bivariate analyses (all six covariances; absolute, relative, significance test)

- read out all individual (actor, partner) and dyadic level (relationship) effects

- perform further analyses based on social relations effects (e.g., correlations between personality and individual effects; APIM analyses based on dyadic effects)

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Some important features of TripleR:

- very simple but powerful and flexibel syntax that produces all your needed results in one run

- no restrictions regarding number of groups

- no restrictions regarding number of participants per group

- parametric tests of significance are implemented (in case you have one single round robin group)

- handling of missing values

- flexible formatting of output

- great plots

- easy export of results

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Attached you find the TripleR vignette "Round robin analyses in R: How to use TripleR", a description of how to install and use TripleR.

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For all who can't wait to start here are the basic steps you need to get TripleR started:

1. Download the latest stable version of R: Go to http://cran.r-project.org/ and download the R installer file for your preferred operating system. Detailed instruction can be obtained from the R-Website (http://www.r-project.org).

2. TripleR is installed from within R. So launch the R console (which was installed in step 1). You can install the latest stable version of TripleR from CRAN by typing install.packages("TripleR", dependencies=TRUE) into the R console.

3. TripleR is loaded into R by typing

> library(TripleR)

4. Typing ?TripleR opens the help file for TripleR, in which you find a link to the TripleR vignette among other things.

5. Typing ?RR opens the help file for the function RR, which is used for performing social relations analyses for Round Robin groups.

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You find this and all other necessary information in the attached pdf (TripleR vignette). You can also check out the TripleR description at persoc.net (http://www.persoc.net/Toolbox/TripleR). For current developments of the package, also see RForge: http://www.rforge.net/TripleR/

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If you encounter any technical problems with the package, please don't hesitate to contact the maintainer of the package, Felix Schï¿œnbrodt (felix.sc...@psy.lmu.de). Likewise, if you have feature requests, or ideas on how to improve the package and make it even more user friendly, contact us and we will try to implement your ideas.

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Next time you want to analyze your round robin data, try to use TripleR -- and please provide us with feedback!

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Best wishes,

Stefan Schmukle, Felix Schï¿œnbrodt, & Mitja Back

-- 
**********************************
Prof. Dr. Mitja Back (Junior Professor)
Personality Psychology and Psychological Assessment
Johannes Gutenberg University Mainz
Department of Psychology
55099 Mainz, Germany

email: ba...@uni-mainz.de
web: http://psycho.sowi.uni-mainz.de/abteil/pp/back.html
phone: +49-6131-3939157
fax: +49-6131-3939154