Basics of the R programming language course

Table of Contents

• Introduction
• Dataset
• Useful resources
• Directory structure

Introduction

This repository contains the course material for the "Basics of the R programming language - data wrangling and data visualization" held in May 2022, and organized within the COORDINATE project.

The materials in this repository are licensed under the Creative Commons Attribution 4.0 International License.

Dataset

This course used the Generations & Gender Programme Data. Specifically, the data from the Generations & Gender Survey, Round 1:

• France: waves 1, 2 and 3

Useful resources

• RStudio cheat sheets giving an overview of many packages from the tidyverse ecosystem
• regular expressions cheat sheet
• R for Data Science free online book
• Introduction to Statistical Learning free book, available online. Covers a lot of statistical methods with examples coded up in R.
• Grat series of blog posts on data wrangling using dplyr and other tidyverse packages.

Directory structure

Note: data/ is where you should put your data files obtained from the GGP website; not present in the repository.

.
├── basics
│   ├── 01_r-basics_live.R
│   ├── 01_r-basics.R
│   ├── 02_regular-expressions_live.R
│   └── 02_regular-expressions.R
├── crossda_r-wrangling-data-visualization.Rproj
├── data
│   ├── France_Wave2_V.1.3.sav
│   ├── GGS_Wave1_France_V.4.4.sav
│   └── GGS_Wave3_France_V.1.0.sav
├── README.md
├── visualization
│   ├── 01_grammar.html
│   ├── 01_grammar.Rmd
│   ├── 02_ggplot_basics.R
│   ├── 03_ggplot_multidimensional.R
│   ├── 04_ggplot_customization.R
│   ├── anscombe.svg
│   ├── RcolorBrewer.png
│   ├── rjs.css
│   └── scale.png
└── wrangling
    ├── 01_read-data_merge_live.R
    ├── 01_read-data_merge.R
    ├── 02_transform-data_live.R
    ├── 02_transform-data.R
    ├── 03_pivot-longer_live.R
    ├── 03_pivot-longer.R
    └── 04_prepare-visualization-data.R