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.

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Oefeningenreeksen

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.

			Titel
			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. Som van integers 1,...,100
			2.3.2. Som van integers 1,...,1000
			2.3.3. Interpreteer code
			Functions
			2.3.4. Geneste functies
			Removing Variables
			Data types
			2.5.1. Variabelen in een dataframe
			2.5.2 Namen van variabelen
			2.5.3 Variabelen onderzoeken
			2.5.4 Meerdere manieren om toegang te krijgen tot een variabele
			2.5.5 Factors
			2.5.6 Tabellen
			Matrices 1
			Matrices 2
			Matrices 3
			Indexing Matrices 1
			Indexing Matrices 2
			2.6 Vectors
			2.7 Coercion
			2.8.1-5. Vectoren
			2.8.6. Vector van getallen 12..73
			Sequencing
			2.8.7. Oneven getallen
			Adding Vectors and Vector Length
			2.8.9. Klasse van seq(1, 10, 0.5)
			2.8.10. Klasse van 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 Conditionele expressie
			3.6.3 Conditionele veranderingen
			3.6.2 Any en all
			3.2 Defining functions
			3.4 For-loops
			3.5 Vectorization and functionals
			3.6.7-8 Som van de eerste n kwadraten
			3.6.9 Som van de eerste n kwadraten (II)
			Loading Data - Introduction
			Loading Data - Working Directory
			Loading Data - Text versus Binary Files
			Loading Data 1
			Loading data 2
			Loading data 3