Wrangle
10
Data Manipulation
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
Table of contents
10.1
Reorder your data with arrange()
10.2
Pick variables with select()
10.3
Subset data with filter()
10.4
Add or change the content of a variable with mutate()
10.5
Collapse columns using summarize()
10.6
Reshaping your data
Wrangle
10
Data Manipulation
10
Data Manipulation
This section is still under development
10.1
Reorder your data with arrange()
10.2
Pick variables with select()
10.3
Subset data with filter()
10.4
Add or change the content of a variable with mutate()
10.5
Collapse columns using summarize()
10.6
Reshaping your data
9
Getting External Data - importing your data into RStudio
Exploratory Data Analysis