JMM Minicourse:
Teaching Statistics Using R and RStudio

This document is located at http://rpruim.github.io/talks/jmm-2018/

Wifi

• network: JMM18mini
• password: minicourse

Feedback

• I’ve created a Google doc where you can leave feedback, ask questions, etc.

• MAA has a survey they would like you fill out.

The Less Volume, More Creativity approach

• Opening Slides: [HTML] [Rmd]

Some Tutorials

• Intro Tutorial: rsconnect.calvin.edu/less-volume-plots/jmm2018/

• Refining ggformula plots: rsconnect.calvin.edu/ggformula/refining/

  • In case you want to learn more about how to produce plots

• Data Wrangling: rsconnect.calvin.edu/tidyverse/city-of-hope-2018/

  • has many uses, including preparing data for plotting

R Studio Server

You are welcome to use an account on Calvin’s RStudio server using the username and password provided. Here’s the link to get there.

• rstudio.calvin.edu

These accounts will likely be recycled in May or June, 2018.

R Markdown

• Prezi by Nick Horton
• R Markdown Cheet Sheet

Cheat Sheets

R Studio is assembling a number of useful cheat sheets at www.rstudio.com/resources/cheatsheets/

Running R Locally

You are welcome to work in your own local copy of R and RStudio if you prefer. This will work best if you have a recent versions

• R
• RStudio
• the mosaic package and its dependencies
• the ggformula package and its dependencies
• the tidyverse package and its dependencies

Packages can be installed or updated using the Packages tab in RStudio.

Setting up your own RStudio Server

• If you ask, RStudio will provide you with the professional server for free for qualifying academic purposes. Contact them for details to see if you qualify.

• If you want to server tutorials, you will also need to set up RStudio Connect (and maybe a shiny server). These aren’t any harder than setting up RStudio Server, but they are separate software installs.

• RStudio has lots of documentation about how to install and configure. For example, here is the RStudio Server Pro admin guide

• Here’s a blog post discussing how to do this with Digital Ocean.

• Here’s a blog post about doing this with AWS.