Wrangle
11
Data Manipulation
R for Research
Welcome
Preface
Introduction
Part I: The 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
r-and-research.html
10
Getting External Data - importing your data into RStudio
11
Data Manipulation
Exploratory Data Analysis
12
Introduction to Data Visualization with ggplot2
13
Exploratory Data Analysis
14
Inferential Statistics
Communicate and Collaborate
References
Table of contents
11.1
Reorder your data with arrange()
11.2
Pick variables with select()
11.3
Subset data with filter()
11.4
Add or change the content of a variable with mutate()
11.5
Collapse columns using summarize()
11.6
Reshaping your data
Wrangle
11
Data Manipulation
11
Data Manipulation
This section is still under development
11.1
Reorder your data with arrange()
11.2
Pick variables with select()
11.3
Subset data with filter()
11.4
Add or change the content of a variable with mutate()
11.5
Collapse columns using summarize()
11.6
Reshaping your data
10
Getting External Data - importing your data into RStudio
Exploratory Data Analysis