Name: Quick introduction to R and Rstudio
Author: Dries Benoit

Quick introduction to R and Rstudio (2023–2024)

Dries Benoit · Universiteit Gent

This Dodona course only contains a basic introduction to R and is aimed at those students that do not feel comfortable in R and RStudio.

You are not a member of this course.

Exercise series

Introduction to R

This is a basic introduction to R and RStudio. The exercises in this series are a subset of the exercises found in the Dodona course of Prof. Lieven Clement “Statistiek: introductie tot R” and the course “Statistical Modelling & Data Mining” by Prof. Dries Benoit.

Making these exercises is optional, but recommended for those students with no or limited R/RStudio skills.

			Title
			1.1. Why R?
			R and RStudio
			36.1 Installing R
			36.2 Installing RStudio
			Scripts
			RStudio Interface
			Installing R packages
			Asking questions in Dodona
			Google is your best friend
			Acknowledgments
			2.1 Case study: US Gun Murders
			2.2 The very basics
			2.3.1. Sum of integers 1,...,100
			2.3.2. Sum of integers 1,...,1000
			2.3.3. Interpret code
			Functions
			2.3.4. Nested functions
			Removing Variables
			Data types
			2.5.1. Variables in a dataframe
			2.5.2 Variable names
			2.5.3 Examining Variables
			2.5.4 Multiple ways to access variables
			2.5.5 Factors
			2.5.6 Tables
			Matrices 1
			Matrices 2
			Matrices 3
			Indexing Matrices 1
			Indexing Matrices 2
			2.6 Vectors
			2.7 Coercion
			2.8.1-5. Vectors
			2.8.6. Vector of numbers 12..73
			Sequencing
			2.8.7. Odd numbers
			Adding Vectors and Vector Length
			2.8.9. Class of seq(1, 10, 0.5)
			2.8.10. Class of seq(1, 10)
			2.8.11. 1 vs 1L
			Vector cast
			Convert Vector Type
			2.9 Sorting
			Sorting 1
			Sorting 2
			Sorting 3
			Sorting 4
			Sorting 5
			Sorting 6
			Missing values (NA) 1
			Missing Values (NA) 2
			2.11 Vector arithmetics
			Convert Temperatures
			2.12.2. Vector Sum
			2.12.3. Vector Mean
			2.13 Indexing
			Indexing 1
			Indexing 2
			Indexing 3
			Indexing 4
			Indexing 5
			Randomisation
			Basic Plots 1
			Basic plots 2
			2.16.1. Scatter Plot
			2.16.2. Histogram
			2.16.3. Boxplot
			3.1 Conditional expressions
			3.6.1 Conditional expression
			3.6.3 Conditional changes
			3.6.2 Any and all
			3.2 Defining functions
			3.4 For-loops
			3.5 Vectorization and functionals
			3.6.7-8 Sum of the first n squares (I)
			3.6.9 Sum of the first n squares (II)
			Loading Data - Introduction
			Loading Data - Working Directory
			Loading Data - Text versus Binary Files
			Loading Data 1
			Loading data 2
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