An App that Assists Intro Statistics Instructors with Data Sets

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.

An application for creating, adjusting, and checking the suitability of data sets for courses that incorporate introductory statistical methods

Description

The StatTeacherAssistant R package includes an interactive Shiny application, which is run locally on the user’s machine. It enables users to randomly generate data, make new versions of existing data through common adjustments (e.g., adding random normal noise and performing transformations), and check the suitability of the resulting data for statistical analyses. The app was 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.

Installation

The StatTeacherAssistant package can be installed from either CRAN or GitHub.

Installing from CRAN

To install from CRAN, run the following code in R:

install.packages("StatTeacherAssistant")

Installing from GitHub

To install the package from GitHub, run the following code in R:

install.packages("remotes")  # installs the remotes package for accessing the install_github() function
remotes::install_github("ccasement/StatTeacherAssistant")  # installs the StatTeacherAssistant package

Usage

The StatTeacherAssistant application can be run using a single line of code in R:

StatTeacherAssistant::runStatTeacherAssistantApp()

Bug Reporting

If you happen to find any bugs, we kindly ask that you email us at [email protected].

License

StatTeacherAssistant is distributed under the MIT license. For details, see the LICENSE.md file.