References
Introduction to R & Data
Welcome!
1
Acknowledgements
2
Schedule
Preparation
3
Installation & Setup
4
Course Materials
5
Introduction to RStudio
R Fundamentals
6
Syntax & Data Types
7
Vectors
8
Data Structures
9
Indexing Vectors & Lists
10
Indexing Dataframes
11
Missing Data
12
Programming
13
If Statements
14
Functions
15
Loops
Working With Data
16
The data science workflow with Tidyverse
17
Importing Data
18
Selecting & filtering data
19
Piping operations
20
Tidy Data
21
Summarizing & combining data
22
Data Visualization
23
What’s next?
References
Table of contents
External resources
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References
External resources
Book:
R for Data Science
R cheat sheets
provided by the R community and RStudio, describing common procedures and packages. We use the following cheat sheets during our workshop:
Base R
R Markdown
Data Import
Data Transformation with dplyr
Data Visualization with ggplot2
23
What’s next?