R course

Daniel Vaulot

2023-06-25

Syllabus, installation and reading

Syllabus

• 01 - Introduction to R
• 02 - Data wrangling
• 03 - Data visualisation
• 04 - Markdown and Quarto

Installation

R and editors

• R

• R studio

• Quarto

• VSCode

Install tutorial files

• Download Student folder
• Unzip on your Desktop
• Open R studio
• Navigate to folder `student’
• Open student.Rproj
• Scripts are in subfolder scripts
• Data are in folder data

Installation

Install R packages

Copy the following lines in the Console (bottom left panel) and press RETURN

# Data manipulation
install.packages("readxl")  # Reading Excel files
install.packages("readr")   # Reading and writing Text files
install.packages("rio")     # Import and export a range of files format
install.packages("dplyr")   # Filter and reformat data frames
install.packages("tidyr")   # Make data "tidy"
install.packages("tibble")  # Manipulate data frames
install.packages("stringr") # Manipulating strings

# Graphics
install.packages("ggplot2")
install.packages("patchwork")

# Markdown
install.packages("markdown")
install.packages("tinytex")

# Display tables
install.packages("DT")

Reading material

Session 01-03 - Data analysis

Choose one of the two text below. Make sure you make the exercises.

• Statistical Inference via Data Science
  • Chapters 1 to 3
• R for Data Science
  • Chapters 1 to 5
  • Solutions to exercises

Session 04 - Rmarkdown and Quarto

• Intro to R markdown