The RBioc Book
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References
Preface
Introduction
1
About R
2
RStudio
3
R mechanics
4
Up and Running with R
5
Packages
6
Saving and Loading Workspaces and Objects
7
Reading and writing data files
R Data Structures
8
Vectors
9
Matrices
10
Lists
11
Data Frames
12
Factors
13
Classes
14
Control Statements
Exploratory Data Analysis
15
Introduction to dplyr: mammal sleep dataset
16
Case Study: Behavioral Risk Factor Surveillance System
17
Exploring data with
ggplot2
18
Base R vs tidy
19
Self-Guided Data Visualization in R
References
Appendices
A
Interactive Intro to R
B
Git and GitHub
C
Additional resources
D
Data Visualization with ggplot2
E
Installation of Packages
F
Class Notes
G
Contact
References
Author
Affiliation
Lori Kern
Bioconductor / Roswell Park Comprehensive Cancer Center
Published
August 27, 2025
Modified
August 27, 2025
19
Self-Guided Data Visualization in R
A
Interactive Intro to R