Wrangle
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Getting External Data - importing your data into RStudio
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
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r-and-research.html
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Getting External Data - importing your data into RStudio
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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
10.1
Dependent Packages
10.2
CSV
10.3
Base R Approach
10.4
Tidyverse Approach
10.5
Writing CSV File
10.6
Excel Files
10.7
Writing Excel Files
10.8
Google Sheets
Wrangle
10
Getting External Data - importing your data into RStudio
10
Getting External Data - importing your data into RStudio
This section is still under development
10.1
Dependent Packages
10.2
CSV
10.3
Base R Approach
10.4
Tidyverse Approach
10.5
Writing CSV File
10.6
Excel Files
10.7
Writing Excel Files
10.8
Google Sheets
9
r-and-research.html
11
Data Manipulation