Short course: The R tidyverse

30 November 2021

Date: 30 November - 3 December 2021
Location: Online lectures, PhD in Quantitative Methods for Policy Evaluation, University of Macerata, Italy

This page is for people attending my short course on The R tidyverse.

Prerequisites

A computer with a recent version of R and RStudio installed, along with the following packages and their dependencies:

  • tidyverse
  • readxl
  • janitor
  • skimr
  • knitr

Participants will be assumed to be familiar with basic statistical tools as offered in introductory courses, but no knowledge of R will be assumed.

Reference

Need help to install R and RStudio?

Useful cheatsheet

Program

Monday 30 November

09.30 - 11.15 Introduction to R and RStudio
11.15 - 11.30 Break
11.30 - 13.30 Workspace, script files and RStudio projects

Wednesday 1 December

09.30 - 11.15 The grammar of data manipulation (1)
11.15 - 11.30 Break
11.30 - 13.30 The grammar of data manipulation (2)

Thursday 2 December

09.30 - 11.15 The grammar of graphics
11.15 - 11.30 Break
11.30 - 13.30 The grammar of reporting

Handouts for the lectures

Assignments

Self-study material:

  • Chapters 1, 2, 3, 4, 5 and 6 from the official R manual: An introduction to R
  • Chapters from 1 to 21, from chapter 26 to 30 from the book R for Data Science
  • Read the paper Tidy Data, Hadley Wickham, Journal of Statistical Software, Vol. 59 (2014)
  • Read the paper A Layered Grammar of Graphics, Hadley Wickham, Journal of Computational and Graphical Statistics, Journal of Computational and Graphical Statistics Volume 19, Issue 1, 2010
    Pre-print available here

Download here the homeworks:

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