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R by Example (Use R!)
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Table of Contents

Introduction.- Quantitative Data.- Categorical Data.- Presentation Graphics.- Exploratotry Data Analysis.- Basic Inference Models.- Regression.- Analysis of Variance I.- Analysis of Variance II.- Randomiczation tests.- Simulation Experiments.- Bayesian Modeling.- Monte Carlo Methods.

About the Author

Maria Rizzo is Associate Professor in the Department of Mathematics and Statistics at Bowling Green State University. Jim Albert is Professor of Mathematics and Statistics at Bowling Green State University.

Reviews

From the reviews:

"This book is an example-driven introduction to both R as a programming environment and widely used statistical concepts such as regression, ANOVA, Bayesian modeling, and randomization and simulation experiments. ... The book is an excellent addition to the lecture notes for undergraduate and master students as well as a reliable source of examples for lecturers. The exercises presented in parallel with the theoretical aspects guide the reader in an efficient way through the statistical methods." (Irina Ioana Mohorianu, zbMATH, Vol. 1275, 2014)

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