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An R Companion to Political Analysis, 3rd Edition Video Tutorials: Multiple Regression with R
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: Multiple Regression with R
thumbnail preview
Multiple Linear Regression Analysis
From Katie Ann Jager (12:00)data
Quick-R: Advanced Graphs
Useful reference on advanced graph types that you can use to visualize multi-dimensional relationships.data
thumbnail preview
Multiple Linear Regression
From Mike Marin (5:18)data
WATCH & LEARN: Multiple Regression with R
thumbnail preview
Multiple Linear Regression Analysis
From Katie Ann Jager (12:00)data
Quick-R: Advanced Graphs
Useful reference on advanced graph types that you can use to visualize multi-dimensional relationships.data
WATCH & LEARN: Multiple Regression with R
thumbnail preview
Multiple Linear Regression Analysis
From Katie Ann Jager (12:00)data
Additional Resources
R Package Documentation
A comprehensive index of R packages and documentation, tools to run code online and embed samples.data
R Commander
A graphical user interface for the R program.data
Robust Regression with R Tutorial
Alastair Sanderson shows useful methods used to handle data with outliers.data
R Short Reference Card
A cheat-sheet type reference, very helpful.data
Cookbook for R
Excellent reference book by Winston Changdata
Additional Resources
R Package Documentation
A comprehensive index of R packages and documentation, tools to run code online and embed samples.data
R Commander
A graphical user interface for the R program.data
Robust Regression with R Tutorial
Alastair Sanderson shows useful methods used to handle data with outliers.data
Additional Resources
R Package Documentation
A comprehensive index of R packages and documentation, tools to run code online and embed samples.data






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