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1: Using R for Data Analysis
2: Descriptive Statistics
3: Transforming Variables
4: Making Comparisons
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7: Controlled Comparisons
8: Foundations of Inference
9: Hypothesis Tests with One or Two Samples
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R Tutorials & Resources:
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More R Pages:
☑ Getting Started

Using R for Data Analysis

Descriptive Statistics

Making Comparisons

Graphing Relationships & Describing Patterns

Random Assignment & Sampling

Making Controlled Comparisons

Foundations of Inference

Hypothesis Tests with One & Two Samples

ChiSquare & ANOVA

Correlation & Bivariate Regression

Multiple Regression

Analyzing Residuals

Logistic Regression

Doing Your Own Analysis

∞ Advanced Political Analysis
More R Pages:
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Getting Started with R
Data Analysis with R
Descriptive Statistics
Creating and Transforming Variables
Making Comparisons
Graphing Relationships and Describing Patterns
Random Assignment and Sampling
Making Controlled Comparisons
Foundations of Statistical Inference
Hypothesis Tests with One and Two Samples
ChiSquare and Analysis of Variance
Correlation and Bivariate Regression
Multiple Regression
Analyzing Regression Residuals
Logistic Regression
Doing Your Own Political Analysis
Advanced Political Analysis with R
Watch and Learn
Watch and Learn
Tutorials & Resources

Ch. 3
Collapsing Variable into Roughly EqualSized Groups Demo.
Create an ordinal level variable with equalsize groups from intervallevel variable.
Tutorials & Resources

Ch. 3
Collapsing Variable into Substantively Useful Categories Demo.
Create an ordinal level variable by transforming intervallevel variable.
Tutorials & Resources

Ch. 3
Creating an Indicator Variable Demo.
Create a dummy variable that identifies veterans.
Tutorials & Resources

Ch. 3
Dummy Variables or Indicator Variables
From Mike Marin (6:40)
Tutorials & Resources

Ch. 3
Changing Numeric Variable to Categorical
From Mike Marin (5:21)
Tutorials & Resources

Ch. 3
Centering & Standardizing Variables
From David Caughlin (15:40)
Tutorials & Resources

Ch. 3
Use ifelse() Function to Create Dummy Variables and Categorical Variables
From Data Science with Yan (10:18)
Tutorials & Resources

Ch. 3
Working with Categorical Variables and Factors
Shows how to work with levels function, from Adam Petrie (29:04)
Tutorials & Resources

Ch. 3
Dummy Variables or Indicator Variables
From Mike Marin (6:40)
Tutorials & Resources

Ch. 3
Transformations (Logarithms, Scaling, Standardizing)
From Adam Petrie (10:08)
Tutorials & Resources

Ch. 3
Creating an Additive Index Demo.
Transform multiple measures of abortion opinion into one measure of abortion opinion.
Tutorials & Resources

Ch. 3
Collapsing Variable into Roughly EqualSized Groups Demo.
Create an ordinal level variable with equalsize groups from intervallevel variable.
Tutorials & Resources

Ch. 3
Collapsing Variable into Substantively Useful Categories Demo.
Create an ordinal level variable by transforming intervallevel variable.
Tutorials & Resources

Ch. 3
Creating an Indicator Variable Demo.
Create a dummy variable that identifies veterans.
Tutorials & Resources

Ch. 3
Dummy Variables or Indicator Variables
From Mike Marin (6:40)
Tutorials & Resources

Ch. 3
Changing Numeric Variable to Categorical
From Mike Marin (5:21)
Tutorials & Resources

Ch. 3
Centering & Standardizing Variables
From David Caughlin (15:40)
Tutorials & Resources

Ch. 3
Use ifelse() Function to Create Dummy Variables and Categorical Variables
From Data Science with Yan (10:18)
Tutorials & Resources

Ch. 3
Working with Categorical Variables and Factors
Shows how to work with levels function, from Adam Petrie (29:04)
Tutorials & Resources

Ch. 3
Dummy Variables or Indicator Variables
From Mike Marin (6:40)
Tutorials & Resources

Ch. 3
Transformations (Logarithms, Scaling, Standardizing)
From Adam Petrie (10:08)
Tutorials & Resources

Ch. 3
Creating an Additive Index Demo.
Transform multiple measures of abortion opinion into one measure of abortion opinion.
Additional Resources
Additional Resources
Tutorials & Resources
R Graphics Cookbook
Online edition of Winston Chang's book
Tutorials & Resources
R Documentation
Online help files.
Tutorials & Resources
Rweb
A webbased interface to R
Tutorials & Resources
CRAN Task View: Teaching Statistics
Information about R packages that assist with the teaching of statistics.
Tutorials & Resources
Cookbook for R
Excellent reference book by Winston Chang
Tutorials & Resources
Quantitative Politics with R
By Erik Gahner Larsen and Zoltán Fazekas
Tutorials & Resources
R Short Reference Card
A cheatsheet type reference, very helpful.
Tutorials & Resources
R Package Documentation
A comprehensive index of R packages and documentation, tools to run code online and embed samples.
Tutorials & Resources
R Bloggers
Many useful articles, frequently updated.
Tutorials & Resources
R Commander
A graphical user interface for the R program.
Tutorials & Resources
QuickR
Helpful reference for using R.
Tutorials & Resources
R Functions and Packages for Political Science Analysis
Great tutorials on useful functions and packages.
Tutorials & Resources
Live R Code Demos
Sample uses of the R Statistics Program for political science research. From Barry Edwards, Political Science Data.
Tutorials & Resources
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.
Tutorials & Resources
Reproducible Data Treatment with R
Web course material from Colin Bousige
Tutorials & Resources
Data Analytics
From Mark Gardener, resources for data analysis and especially in the use of R
Tutorials & Resources
Quantitative Research Methods for Political Science, Public Policy and Public Administration
Web site for book, based on R, by JenkinsSmith et al.
Tutorials & Resources
Show Me Shiney
A gallery of interactive R web apps.
Tutorials & Resources
Swirl Stats
Teaches you R programming and data science interactively, at your own pace, and right in the R console
Tutorials & Resources
Robust Regression with R Tutorial
Alastair Sanderson shows useful methods used to handle data with outliers.
Tutorials & Resources
R Graphics Cookbook
Online edition of Winston Chang's book
Tutorials & Resources
R Documentation
Online help files.
Tutorials & Resources
Rweb
A webbased interface to R
Tutorials & Resources
CRAN Task View: Teaching Statistics
Information about R packages that assist with the teaching of statistics.
Tutorials & Resources
Cookbook for R
Excellent reference book by Winston Chang
Tutorials & Resources
Quantitative Politics with R
By Erik Gahner Larsen and Zoltán Fazekas
Tutorials & Resources
R Short Reference Card
A cheatsheet type reference, very helpful.
Tutorials & Resources
R Package Documentation
A comprehensive index of R packages and documentation, tools to run code online and embed samples.
Tutorials & Resources
R Bloggers
Many useful articles, frequently updated.
Tutorials & Resources
R Commander
A graphical user interface for the R program.
Tutorials & Resources
QuickR
Helpful reference for using R.
Tutorials & Resources
R Functions and Packages for Political Science Analysis
Great tutorials on useful functions and packages.
Tutorials & Resources
Live R Code Demos
Sample uses of the R Statistics Program for political science research. From Barry Edwards, Political Science Data.
Tutorials & Resources
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.
Tutorials & Resources
Reproducible Data Treatment with R
Web course material from Colin Bousige
Tutorials & Resources
Data Analytics
From Mark Gardener, resources for data analysis and especially in the use of R
Tutorials & Resources
Quantitative Research Methods for Political Science, Public Policy and Public Administration
Web site for book, based on R, by JenkinsSmith et al.
Tutorials & Resources
Show Me Shiney
A gallery of interactive R web apps.
Tutorials & Resources
Swirl Stats
Teaches you R programming and data science interactively, at your own pace, and right in the R console
Tutorials & Resources
Robust Regression with R Tutorial
Alastair Sanderson shows useful methods used to handle data with outliers.