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R Companion to Political 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 videos and online code demos for our textbook. These resources focus on using R for data analysis, rather than programming R.
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More R Tutorial Pages
WATCH & LEARN: Making Controlled Comparisons
thumbnail preview
Options for Making Controlled Mean Comparisons with RCPA3's compmeansC Function
From Barry Edwards (15:50)data

Run R Demo
Online demo using xtabC function from poliscidata package.data

Run R Demo
Online demo using imeansC and iplotC functions from poliscidata package.data









WATCH & LEARN: Making Controlled Comparisons
thumbnail preview
Options for Making Controlled Mean Comparisons with RCPA3's compmeansC Function
From Barry Edwards (15:50)data

Run R Demo
Online demo using xtabC function from poliscidata package.data










WATCH & LEARN: Making Controlled Comparisons
thumbnail preview
Options for Making Controlled Mean Comparisons with RCPA3's compmeansC Function
From Barry Edwards (15:50)data











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

Rweb
A web-based interface to Rdata

R Commander
A graphical user interface for the R program.data

Live R Code Demos
Sample uses of the R Statistics Program for political science research. From Barry Edwards, Political Science Data.data

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

Rweb
A web-based interface to Rdata

R Commander
A graphical user interface for the R program.data



















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



























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