Installing R and TripleR | Getting the data into the right format | Importing your data into R | How to do the analyses | Plots | Formatting the output | Subsequent analyses | Exporting results | FAQ | References
Package: TripleR 1.5.5
TripleR: Social Relation Model (SRM) Analyses for Single or Multiple Groups
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) <doi:10.1037/1082-989X.2.3.278>. Handling for missing values is provided.
Authors:
TripleR_1.5.5.tar.gz
TripleR_1.5.5.zip(r-4.7)TripleR_1.5.5.zip(r-4.6)TripleR_1.5.5.zip(r-4.5)
TripleR_1.5.5.tgz(r-4.6-any)TripleR_1.5.5.tgz(r-4.5-any)
TripleR_1.5.5.tar.gz(r-4.7-any)TripleR_1.5.5.tar.gz(r-4.6-any)
TripleR_1.5.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
TripleR/json (API)
| # Install 'TripleR' in R: |
| install.packages('TripleR', repos = c('https://nicebread.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- liking_a - Triple R: Round-Robin Analyses Using R
- liking_b - Triple R: Round-Robin Analyses Using R
- likingLong - Triple R: Round-Robin Analyses Using R
- metaliking_a - Triple R: Round-Robin Analyses Using R
- metaliking_b - Triple R: Round-Robin Analyses Using R
- multiGroup - Triple R: Round-Robin Analyses Using R
- multiLikingLong - Triple R: Round-Robin Analyses Using R
- multiNarc - Triple R: Round-Robin Analyses Using R
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:b10cb48f11. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 140 | ||
| source / vignettes | OK | 175 | ||
| linux-release-x86_64 | OK | 141 | ||
| macos-release-arm64 | OK | 122 | ||
| macos-oldrel-arm64 | OK | 104 | ||
| windows-devel | OK | 78 | ||
| windows-release | OK | 89 | ||
| windows-oldrel | OK | 99 | ||
| wasm-release | OK | 124 |
Exports:getEffectslong2matrixmatrix2longparCorplot_missingsRRRR.styleRR.summaryselfCor
Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecyclemagrittrplyrR6RColorBrewerRcppreshape2rlangS7scalesstringistringrvctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Triple R: A Package for Round-Robin Analyses Using R | TripleR-package TripleR |
| Calculates round robin effects for multiple variables | getEffects |
| Convert long format to a quadratic matrix | long2matrix |
| Convert a quadratic matrix to long format | matrix2long |
| partial correlation | parCor |
| Plot missing values | plot_missings |
| Plot variance components from SRAs | plot.RRbi plot.RRmulti plot.RRuni |
| Triple R: Round-Robin Analyses Using R | likingLong liking_a liking_b metaliking_a metaliking_b multiGroup multiLikingLong multiNarc RR |
| Set labeling styles for RR analyses | RR.style |
| Print group descriptives | RR.summary |
| partial correlation | selfCor |
