SDS 291 - Fall 2018
  • Syllabus
  • Lectures
    • Notes
    • 01 - Introduction
    • 02 - Simple Linear Regression
    • 03 - Conditions for Regression
    • 04 - Transformations
    • 05 - Inference
    • 06 - Multiple Regression
  • Resources
    • R, RStudio, others
    • Website Rmd Sources
    • Index
    • Syllabus
    • Resources
  • Labs
    • Lab
    • Intro
    • Residuals
    • Transformations
    • Intervals
    • Source
    • Intro
    • Residuals
    • Transformations
    • Intervals
  • Assignments
    • Homework
    • Homework 1
    • Homework 2
    • Homework 3
    • Homework 4
    • Exams
    • Project

Resources

  • Moodle
  • Textbook
    • Stat2: Building Models for a World of Data
    • install the Stat2Data package in R
  • 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 (there are many, they’re handy!).
    • Packages you should install: mosaic, knitr, markdown
    • Quick R
    • R Tutorial
  • Using R with the mosaic package
    • the mosaic package
    • A Compendium of Commands to Teach Statistics with R: a longer illustrated guide to using mosaic
    • Nick Horton’s videos introducing RStudio at Amherst
    • Interactive tutorials via swirl, DataCamp
  • 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 McConnell 301
    • visit the Spinelli Center for Quantitative Learning
  • Refresher on introductory statistics: OpenIntro with Randomization
    • PDF of the textbook

Copyright Andy Reagan, originally by Ben Baumer.