Lecture Notes for R bootcamp of TLL   by Tengyu, Dash, Taylor, Milton and Bingjie

Courtesy: The Living Lab, Columbia University

Table of Contents

*Work in progress (More is coming!)

  1. Lecture 1 (Basic syntax, Datatypes, Reading data, Basic Plots)
  2. Lecture 2 (Programming in R: Loops, Functions, If/Else, Apply)
  3. Lecture 3 (Data Wrangling with tidyverse and datatable)
  4. Lecture 4 (Advanced plotting with ggplot)
  5. Lecture 5 (Linear Regression & Hypothesis Testing)
  6. Lecture 6 (Put it all together. A case study) | Try to solve the problems first by yourself: Question Set

Materials and Recordings

You can find all the slides, datasets, codes, and recordings in the following link: R bootcamp materials

Recommended Books and Other Resources

For basics and Rmarkdown

An Introduction to R by Alex Douglas

For visualization

The R Graph Gallery

For data analysis and statistics

Learning Statistics with R