Includes an interactive application designed to support educators in wide-ranging disciplines, with a particular focus on those teaching introductory statistical methods (descriptive and/or inferential) for data analysis. Users are able to randomly generate data, make new versions of existing data through common adjustments (e.g., add random normal noise and perform transformations), and check the suitability of the resulting data for statistical analyses.
runStatTeacherAssistantApp
Christopher Casement
Department of Mathematics
Fairfield University
casementc@gmail.com
Laura McSweeney
Department of Mathematics
Fairfield University
Package: StatTeacherAssistant
Type: Package
Version: 0.0.3
Date: 2025-05-01
Depends: R (>= 4.5.0)
Imports: DescTools, dplyr, DT, extraDistr, ggplot2, plotly, rhandsontable,
rio, rmatio, shiny, shinyalert, shinyBS, shinyjs, sortable, stringi, stringr,
tidyr
License: MIT
BugReports: https://github.com/ccasement/StatTeacherAssistant/issues
Encoding: UTF-8