Intro to R for Researchers

• Slides
• Code
  • Motivation
    • A simple regression example (R script: r1_simple_regression.R; R notebook: )
    • A twitter example (R script: twitter_example.R; Word Cloud for #rstat: twitter_word_cloud.png)
  • Data and Programming Structures (R script: r2_data_and_programming_structures.R; R notebook: )
  • Extending the simple regression example (R script: r3_data_manipulation_modelling_report.R)
    • Data Manipulation
    • Modelling
    • Report and Graph

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• Materials from a past workshop (containing more details)
  • Data structures
    • Vectors
    • Derived data structures
  • Programming structures
  • Data manipulation
  • Data visualization
• Free Resources
  • R Programming
    • Hands-on Programming with R (for absolute beginners, i.e., if you have never programmed before)
    • R for Data Science (learn how to manipulate, analyze and visualize data using R’s Tidyverse packages)
    • Advanced R (if you plan to be really good at R)
    • ggplot2: Elegant Graphics for Data Analysis
    • The R Graph Gallery (R graph samples with code)
    • R Cheat Sheets (cheat sheets for many popular R packages)
    • R for Stata Users (if you are from the Stata world)
  • R for Empirical Research
    • Introduction to Econometrics with R
    • Forecasting: Principles and Practice
    • Financial Engineering Analytics: A Practice Manual Using R
    • Clustered and robust standard errors in Stata and R
  • R and Machine Learning
    • An Introduction to Statistical Learning / with Applications in R (book and code)
    • R interface to Keras (deep learning in R)
  • Plan to teach Econometrics & Statistics using R?
    • A Short R Tutorial by Germán Rodríguez (a good tutorial to get students started with R)
    • Introductory Econometrics Examples (data and examples from Wooldridge)
    • STAT545 by Jenny Bryan : Data wrangling, exploration, and analysis with R

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