Package: facetsviz 0.1.1

facetsviz: Parse and Visualize Facets Output Files
Utilities to parse output files from 'Facets' (a software widely used for multi-facet Rasch measurement) and build accurate visualizations from the measurement reports. For more details on the underlying measurement framework, see Linacre (1994, ISBN:0-941938-02-6) and Linacre (2023) <https://www.winsteps.com/a/Facets-Manual.pdf>.
Authors:
facetsviz_0.1.1.tar.gz
facetsviz_0.1.1.tar.gz(r-4.7-any)facetsviz_0.1.1.tar.gz(r-4.6-any)
facetsviz_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
facetsviz/json (API)
| # Install 'facetsviz' in R: |
| install.packages('facetsviz', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/myprabowo/facetsviz/issues
Last updated from:501478c4a3. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 137 | ||
| source / vignettes | OK | 198 | ||
| linux-release-x86_64 | OK | 136 | ||
| wasm-release | OK | 122 |
Exports:facets_themeplot_distributionplot_estimatesplot_fairnessplot_ogiveplot_probabilityplot_structureplot_unexpectedplot_usageplot_wrightread_facetsrender_batchrender_plotsrun_app
Dependencies:clicpp11dplyrfarvergenericsggplot2ggrepelgluegtableisobandlabelinglifecyclemagrittrpillarpkgconfigpurrrR6RColorBrewerRcpprlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Parse and visualize FACETS output files | facetsviz-package |
| Facets plotting theme | facets_theme |
| Plot the distribution of measures for a facet | plot_distribution |
| Plot measure estimates with standard errors for a facet | plot_estimates |
| Plot representative observed versus fair averages for a facet | plot_fairness |
| Plot the expected-score ogive implied by Table 8.1 thresholds | plot_ogive |
| Plot rating-scale category probability curves | plot_probability |
| Plot mode, median, and mean category regions from rating-scale thresholds | plot_structure |
| Plot the strongest unexpected responses from Table 4.1 | plot_unexpected |
| Plot rating-scale category usage frequencies | plot_usage |
| Plot a compact Wright map across available facets | plot_wright |
| Read a FACETS output file | read_facets |
| Render FACETS plots for multiple output files | render_batch |
| Render a standard set of FACETS visualizations to disk | render_plots |
| Launch the facetsviz Shiny app | run_app |
