This is a collcetion of Shiny apps for introductory statistics courses based on the classic textbook Statistics by David Freedman, Robert Pisani, and Roger Purves (2007). Fourth Edition. Norton & Company.

I originally developed these apps for the course Stat 2 "Introduction to Statistics" (at UC Berkeley). The main motivation behind the apps is to have teaching materials (in the form of interactive graphics) that I can use during lecture.

The apps are not specifically intended for Stat 2 only. They can be used for any of the introductory Statistics courses at UC Berkeley: STAT 2, STAT 20, and STAT 21. And pretty much in any statistics introductory course in general.

The easiest way to run an app is with the runGitHub() from "shiny" package. For instance, to run the app contained in the regression-galton folder, run the following code in R:

library(shiny)

# Run an app from a subdirectory in the repo
runGitHub("shiny-introstats", "gastonstat", subdir = "regression-galton")

Another way to run the apps is by cloning the git repository, then use runApp():

# First clone the repository with git. If you have cloned it into
# ~/regression-galton, first go to that directory, then use runApp().
setwd("~/regression-galton")
runApp()

• Gaston Sanchez: gastonsanchez.com
• Email: gaston.stat at gmail.com