Wrangle
9
Data Manipulation
R for Research
R for Research
Preface
Introduction
Basics
1
R, RStudio, and Posit Cloud
2
Operators in R
3
Data Types in R
4
Functions
5
Data Structure
6
Packages
7
Workflow
Wrangle
8
Getting External Data - importing your data into RStudio
9
Data Manipulation
Exploratory Data Analysis
10
Introduction to Data Visualization with ggplot2
11
Exploratory Data Analysis
12
Inferential Statistics
Communicate and Collaborate
References
Table of contents
9.1
Reorder your data with arrange()
9.2
Pick variables with select()
9.3
Subset data with filter()
9.4
Add or change the content of a variable with mutate()
9.5
Collapse columns using summarize()
9.6
Reshaping your data
Wrangle
9
Data Manipulation
9
Data Manipulation
This section is still under development
9.1
Reorder your data with arrange()
9.2
Pick variables with select()
9.3
Subset data with filter()
9.4
Add or change the content of a variable with mutate()
9.5
Collapse columns using summarize()
9.6
Reshaping your data
8
Getting External Data - importing your data into RStudio
Exploratory Data Analysis