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An R Companion To Political AnalysisAn R Companion To Political Analysis

An R Companion To Political Analysis in Vernon, BC

By None

Current price: $86.95
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An R Companion To Political Analysis

Coles

An R Companion To Political Analysis in Vernon, BC

By None

Current price: $86.95
Loading Inventory...

Size: Paperback (2013)

Buy Online
*Product information may vary - to confirm product availability, pricing, shipping and return information please contact Coles
Teach your students to conduct political research using R, the open source programming language and software environment for statistical computing and graphics. An R Companion to Political Analysis offers the same easy-to-use and effective style as the best-selling SPSS and Stata Companions. The all-new Second Edition includes new and revised exercises and datasets showing students how to analyze research-quality data to learn descriptive statistics, data transformations, bivariate analysis (cross-tabulations and mean comparisons), controlled comparisons, statistical inference, linear correlation and regression, dummy variables and interaction effects, and logistic regression. The clear explanation and instruction is accompanied by annotated and labeled screen shots and end-of-chapter exercises to help students apply what they have learned. “Students will love this book, as will their teachers.”  – Courtney Brown, Emory University
Teach your students to conduct political research using R, the open source programming language and software environment for statistical computing and graphics. An R Companion to Political Analysis offers the same easy-to-use and effective style as the best-selling SPSS and Stata Companions. The all-new Second Edition includes new and revised exercises and datasets showing students how to analyze research-quality data to learn descriptive statistics, data transformations, bivariate analysis (cross-tabulations and mean comparisons), controlled comparisons, statistical inference, linear correlation and regression, dummy variables and interaction effects, and logistic regression. The clear explanation and instruction is accompanied by annotated and labeled screen shots and end-of-chapter exercises to help students apply what they have learned. “Students will love this book, as will their teachers.”  – Courtney Brown, Emory University

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