Package: wbCorr 0.4.0
Pascal Küng
wbCorr: Bivariate Within- and Between-Cluster Correlations
Separates supplied variables into within- and between-cluster components and calculates bivariate correlations for each level separately. For Pearson correlations, the centered-score decomposition corresponds to commonly used between- and within-cluster correlations reviewed by Tu et al. (2025) <doi:10.1002/sim.10326>. The package's descriptive Spearman option is distinct from the clustered rank parameters introduced in that paper. The package is also motivated by the distinction between within- and between-person variation described by Curran and Bauer (2011) <doi:10.1146/annurev.psych.093008.100356> and by Hamaker (2024) <doi:10.1080/00273171.2022.2155930>. The package is intended for longitudinal or otherwise clustered data where researchers need transparent correlation matrices before fitting more complex multilevel models.
Authors:
wbCorr_0.4.0.tar.gz
wbCorr_0.4.0.zip(r-4.7-any)wbCorr_0.4.0.zip(r-4.6-any)
wbCorr_0.4.0.tar.gz(r-4.7-any)wbCorr_0.4.0.tar.gz(r-4.6-any)
wbCorr_0.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
wbCorr/json (API)
| # Install 'wbCorr' in R: |
| install.packages('wbCorr', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/pascal-kueng/wbcorr/issues
Pkgdown/docs site:https://pascal-kueng.github.io
- simdat_intensive_longitudinal - Simulated Intensive Longitudinal Dataset
Last updated from:382a1aea83. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 123 | ||
| source / vignettes | OK | 149 | ||
| linux-release | OK | 147 | ||
| windows-devel | OK | 65 | ||
| windows-release | OK | 72 | ||
| wasm-release | OK | 87 |
Exports:get_iccget_ICCget_ICCsget_matricesget_matrixget_tableget_tablesplotprintshowsummaryto_excelupdate_wbCorrwbcorrwbCorr
Dependencies:writexl
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Return all ICCs for the original variables. | get_ICC get_icc get_ICCs |
| Return matrices for within- and/or between-cluster correlations. | get_matrices get_matrix summary,wbCorr-method summary.wbCorr |
| Retrieve full tables for both within- and/or between-cluster correlations for a wbCorr object. | get_table get_tables |
| Plot within- and between associations | plot,wbCorr-method plot.wbCorr |
| Print Method for the wbCorr Class | print,wbCorr-method print.wbCorr |
| Show Method for the wbCorr Class | show,wbCorr-method show.wbCorr |
| Simulated Intensive Longitudinal Dataset | simdat_intensive_longitudinal |
| Saves the passed summary or table to excel | to_excel |
| Check for updates of wbCorr | update_wbCorr |
| wbCorr | wbCorr wbcorr |
| wbCorr Class | wbCorr-class |