Parse and Visualize Facets Output Files

Documentation for package ‘facetsviz’ version 0.1.1

facetsviz-package	Parse and visualize FACETS output files
facets_theme	Facets plotting theme
plot_distribution	Plot the distribution of measures for a facet
plot_estimates	Plot measure estimates with standard errors for a facet
plot_fairness	Plot representative observed versus fair averages for a facet
plot_ogive	Plot the expected-score ogive implied by Table 8.1 thresholds
plot_probability	Plot rating-scale category probability curves
plot_structure	Plot mode, median, and mean category regions from rating-scale thresholds
plot_unexpected	Plot the strongest unexpected responses from Table 4.1
plot_usage	Plot rating-scale category usage frequencies
plot_wright	Plot a compact Wright map across available facets
read_facets	Read a FACETS output file
render_batch	Render FACETS plots for multiple output files
render_plots	Render a standard set of FACETS visualizations to disk
run_app	Launch the facetsviz Shiny app