RShiny Apps for Interactive Learning

As part of a STEM Education Grant with the GMU Stearns Center for Teaching and Learning, I supervised a PhD Student, Michael Tritle, who created the following RShiny apps to use for interactive learning in the classroom. The R code for these apps is made publicly available below:

Apps for Experimental Design

Fractional Factorial Designs and Defining Relations

2^k Fractional Factorial Design Example Generator

Response Surface Simulator

Optimal Design Visualizer

Latin Square Designs

An Application of Latin Square Designs: Dishwasher Soap Example

Apps for Applied Statistics

Univariate Bootstrap Example Generator and Student Tool

Bootstrap Confidence Intervals for Multiple Regression (Examples and Student Tool)

Animated Permutation Test App (for Visualization and Example Generation)

Apps for Statistical Inference (Theory)

A Visualization App for Comparing and Understanding Modes of Convergence

When Statistics Aren't Sufficient: an RShiny App