**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

- Base R cheatsheet
- Data visualization with ggplot2 cheatsheet
- Data transformation with dplyr cheatsheet
- Dynamic documents with rmarkdown 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:

`Homework #01`

, to be delivered within December 13`Homework #02`

, to be delivered within December 13`Homework #03`

, to be delivered within December 13`Homework #04`

, to be delivered within December 13`Homework #05`

, to be delivered within December 13`Homework #06`

, to be delivered within December 31