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An R Companion to Political Analysis, 3rd Edition Video Tutorials: Making Controlled Comparisons
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: Making Controlled Comparisons
Run R Demo
Online demo using imeansC and iplotC functions from poliscidata package.data
Run R Demo
Online demo using imeansC and iplotC functions from poliscidata package.data
Run R Demo
Online demo using xtabC function from poliscidata package.data
WATCH & LEARN: Making Controlled Comparisons
Run R Demo
Online demo using imeansC and iplotC functions from poliscidata package.data
Run R Demo
Online demo using imeansC and iplotC functions from poliscidata package.data
WATCH & LEARN: Making Controlled Comparisons
Run R Demo
Online demo using imeansC and iplotC functions from poliscidata package.data
Additional Resources
Swirl Stats
Teaches you R programming and data science interactively, at your own pace, and right in the R consoledata
Quantitative Politics with R
By Erik Gahner Larsen and Zoltán Fazekasdata
Dartistics: Digital Analytics with R and staTISTICS
A resource for digital analysts who are interested in learning or expanding their knowledge of R and statistics. data
Data Analytics
From Mark Gardener, resources for data analysis and especially in the use of Rdata
Rweb
A web-based interface to Rdata
Additional Resources
Swirl Stats
Teaches you R programming and data science interactively, at your own pace, and right in the R consoledata
Quantitative Politics with R
By Erik Gahner Larsen and Zoltán Fazekasdata
Dartistics: Digital Analytics with R and staTISTICS
A resource for digital analysts who are interested in learning or expanding their knowledge of R and statistics. data
Additional Resources
Swirl Stats
Teaches you R programming and data science interactively, at your own pace, and right in the R consoledata






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