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An R Companion to Political Analysis, 3rd Edition Video Tutorials: Using R for Data Analysis
About This Page
This page features video tutorials and resources to help you do political analysis with R. We created this page, and related pages, to supplement our R Companion to Political Analysis. Where possible, we leverage existing videos, but have created a number of custom online code demonstrations for our textbook.
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WATCH & LEARN: Using R for Data Analysis
Run R Demo
This sample code creates objects, performs computations, and produces a graphic. You can modify its settings and see what happens.data

thumbnail preview
How to Create and Name Vectors
From DataCamp (5:05)data

thumbnail preview
Introduction to R
From Phil Chan (10:31)data








WATCH & LEARN: Using R for Data Analysis
Run R Demo
This sample code creates objects, performs computations, and produces a graphic. You can modify its settings and see what happens.data

thumbnail preview
How to Create and Name Vectors
From DataCamp (5:05)data









WATCH & LEARN: Using R for Data Analysis
Run R Demo
This sample code creates objects, performs computations, and produces a graphic. You can modify its settings and see what happens.data










Additional Resources
Robust Regression with R Tutorial
Alastair Sanderson shows useful methods used to handle data with outliers.data

Cookbook for R
Excellent reference book by Winston Changdata

Reproducible Data Treatment with R
Web course material from Colin Bousigedata

Quantitative Politics with R
By Erik Gahner Larsen and Zoltán Fazekasdata

R Package Documentation
A comprehensive index of R packages and documentation, tools to run code online and embed samples.data
















Additional Resources
Robust Regression with R Tutorial
Alastair Sanderson shows useful methods used to handle data with outliers.data

Cookbook for R
Excellent reference book by Winston Changdata

Reproducible Data Treatment with R
Web course material from Colin Bousigedata


















Additional Resources
Robust Regression with R Tutorial
Alastair Sanderson shows useful methods used to handle data with outliers.data


























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