Wrangle
9
Getting External Data - importing your data into RStudio
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
9.1
Dependent Packages
9.2
CSV
9.3
Base R Approach
9.4
Tidyverse Approach
9.5
Writing CSV File
9.6
Excel Files
9.7
Writing Excel Files
9.8
Google Sheets
Wrangle
9
Getting External Data - importing your data into RStudio
9
Getting External Data - importing your data into RStudio
This section is still under development
9.1
Dependent Packages
9.2
CSV
9.3
Base R Approach
9.4
Tidyverse Approach
9.5
Writing CSV File
9.6
Excel Files
9.7
Writing Excel Files
9.8
Google Sheets
Wrangle
10
Data Manipulation