References
R for Research
Welcome
Preface
Introduction
Basics
1
R, RStudio, and Posit Cloud
2
Operators in R
3
Data Types in R
4
Functions
5
Data Structure
6
Control Structure
7
Packages
8
Workflow in R: Best Practices for Efficient R Programming
Wrangle
9
Getting External Data - importing your data into RStudio
10
Data Manipulation
Exploratory Data Analysis
11
Introduction to Data Visualization with ggplot2
12
Exploratory Data Analysis
13
Inferential Statistics
Communicate and Collaborate
References
References
Peng, Roger D. 2016.
R Programming for Data Science
. Leanpub Victoria, BC, Canada.
Radečić, Dario. 2024.
“Introducing Positron: A New, yet Familiar IDE for r and Python.”
RSS
.
https://www.appsilon.com/post/introducing-positron
.
Communicate and Collaborate