An Introductory Guide to R

Easing the Learning Curve

Eric L. Einspruch

HardcoverPaperbacke-bookprint + e-book
Hardcover
July 13, 2022
ISBN 9781462549894
Price: $85.00
196 Pages
Size: 7⅜" x 9¼"
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Paperback
July 13, 2022
ISBN 9781462549887
Price: $35.00
196 Pages
Size: 7⅜" x 9¼"
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e-book
July 1, 2022
PDF ?
Price: $35.00
196 Pages
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print + e-book
Paperback + e-Book (PDF) ?
Price: $70.00 $38.50
196 Pages
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“The uniqueness of this book is that it seems to understand how a broad set of individuals might come to learning R. Most books on the topic are written for computer programmers (computer science majors, computational biologists), or at least for people with some programming experience. This text takes the reader through the R environment in a manner that does not presuppose programming experience, making it a true (and effective) introductory guide.”

—Charlotte Tate, PhD, Department of Psychology, San Francisco State University


“I will use this book as a researcher and will recommend it to students and colleagues. The author provides easy-to-follow steps and screenshots to help users get started with R and to perform many common statistical analyses. The example datasets are useful, as are the explanations of the output. This book is practical, helpful, and timely.”

—Julie Combs, EdD, Department of Educational Leadership, Sam Houston State University


“This is a very useful book for faculty, undergraduates, or graduate students who are interested in learning R. Einspruch does a great job of describing the many different 'data-cleaning' tasks that are often required prior to more complex analyses. I also like the instructions for producing R Markdown files. I will definitely consider using this book as a supplementary text for my undergraduate Introduction to Statistics course.”

—Katerina M. Marcoulides, PhD, Department of Psychology, University of Minnesota


“This text provides a basic introduction to R and its use in statistical analyses. It demonstrates Base R, RStudio, and Tidyverse, and walks the reader through using ggplot. I suggest this as a basic text for anyone using R in undergraduate or graduate courses, specifically for students who are not familiar with R. It will also be helpful to practitioners who want to understand and begin to use R in their work.”

—Darlene Russ-Eft, PhD, College of Education (Emeritus), Oregon State University; clinical faculty, Department of Technology Leadership and Innovation, Purdue University


“The book is a handy resource for learning and using R effectively, and for teaching statistics with free software. Given the no-cost software, students are more likely to use R beyond the formal program of study.”

—Michele A. Parker, PhD, Department of Educational Leadership, University of North Carolina at Wilmington