Data Manipulation Techniques with R
Preface
Structure of the book
Acknowledgements
1
Introduction to R
1.1
Getting Started
1.2
Variable Assignment
1.3
Finding Variables
1.4
Deleting Variables
2
Data Structures
2.1
Vectors
2.2
Lists
2.3
Arrays
2.4
Matrices
2.5
Data Frames
2.6
Working with different types
3
Programming Fundamentals
3.1
Logicals
3.2
Conditionals
3.3
Loops
3.4
Functions
4
Data Wrangling
4.1
Libraries
4.2
Importing & Exporting Data
4.3
dplyr and tidyverse
4.4
Data manipulation - dplyr basics
4.5
dplyr - pipe operator
4.6
stringr package
4.7
Combining Data - dplyr
4.8
Cheat Sheet
4.9
Extra - sqldf
5
Resources
5.1
Cheat Sheets
5.2
Programming Style
5.3
Other resources
5.4
Books
Published with bookdown
Data Manipulation Techniques with R
Chapter 5
Resources
Here is a list of resources that might help you in your R journey:
5.1
Cheat Sheets
Base R Cheat Sheet
RStudio IDE cheatsheet
Advanced R Cheat Sheet
Data Wrangling with dplyr and tidyr Cheat Sheet
Work with strings with stringr Cheat Sheet
5.2
Programming Style
Google’s R Style Guide
5.3
Other resources
R Graph Gallery
5.4
Books
R for Data Science
SAS Programming for R Users