• Moodle
• Textbook
  • Stat2: Building Models for a World of Data
  • install the Stat2Data package in R
  • Susan Wang’s CFAU companion to the Stat2 book
• RStudio IDE
  • Choose one of two options:
    1. Log on to the Smith College RStudio Server
    2. Use RStudio locally.
       • Download and install RStudio Desktop
       • Download and install R
  • Learn more about R Markdown
    • printable Reference Guide for R Markdown
  • RStudio’s cheatsheets for:
    • RStudio IDE
    • Data Wrangling with dplyr
    • Shiny
• Calculators
  • On exams, you may bring a scientific calculator with you to perform calculations. You may not use your phone for this. If you do not have a calculator, the Spinelli Center lends calculators to students. Email spinelli@smith.edu to reserve a calculator.
• Using R
  • Packages you should install: mosaic, knitr, markdown
  • Quick R
  • R Tutorial
  • Interactive tutorials via swirl
  • Nick Horton’s videos introducing RStudio at Amherst
• Using R with the mosaic package
  • the mosaic package
  • graphics with mosaic
  • Minimal R for Intro Stats: one page handout with R commands
  • A Compendium of Commands to Teach Statistics with R: a longer illustrated guide to using mosaic
  • Resampling-based inference using the mosaic package
• Using R with the dplyr package
  • Read the vignettes
  • RStudio’s cheatsheets for:
    • Data Wrangling with dplyr
• Quantitative Resources on campus
  • Statistics TAs are available Sunday through Thursday from 7-9 pm in Burton 301
  • Data Assistants are available Mondays, Tuesdays, Fridays, and by appointment. They can help you with R and data-related questions.
  • visit the Spinelli Center for Quantitative Learning
  • visit the Spatial Analysis Lab
• Refresher on introductory statistics: OpenIntro with Randomization
  • PDF of the textbook