Resources

Course Information

• Course Moodle Site

Statistical Resources

• Basic Math Reviewsheet
• OpenIntro with Randomization and Simulation
  • PDF of the textbook

Computing Resources

• Introductions to R
  • “Getting used to R, RStudio, R Markdown”, by Chester Ismay
• RStudio IDE
  • Choose one of two options:
    1. Log on to the Smith College RStudio Server
    2. Download and install RStudio Desktop
       • Download and install R
  • Learn more about R Markdown
    • printable Reference Guide for R Markdown
  • RStudio’s cheatsheets for:
    • R Markdown
    • Data Wrangling with dplyr
    • Data Visualization with ggplot2
  • Packages you should install: mosaic, knitr, markdown, tidyverse
  • Interactive tutorials via swirl and DataCamp
• Using R with the mosaic package
  • the mosaic package
  • Graphics with mosaic
  • Less Volume, More Creativity
  • Minimal R for Intro Stats: one page handout with R commands
  • mosaic resources
  • A Student’s Guide to R
  • Randomization-based inference using the mosaic package
  • Data Computing at Macalester

Other Quantitative Resources on campus

• Statistics TAs are available Sunday through Thursday from 7-9 pm in Burton 301
• Visit the Spinelli Center for Quantitative Learning
• List of single-topic workshops hosted by the Spinelli Center