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Learning Statistics Using R

Learning Statistics Using R

January 2014 | 648 pages | SAGE Publications, Inc

Providing easy-to-use R script programs that teach descriptive statistics, graphing, and other statistical methods, Learning Statistics Using R shows readers how to run and utilize R, a free integrated statistical suite that has an extensive library of functions. Randall E. Schumacker’s comprehensive book describes in detail the processing of variables in statistical procedures. Covering a wide range of topics, from probability and sampling distribution to statistical theorems and chi-square, this introductory book helps readers learn not only how to use formulae to calculate statistics, but also how specific statistics fit into the overall research process.

Learning Statistics Using R covers data input from vectors, arrays, matrices and data frames, as well as the input of data sets from SPSS, SAS, STATA and other software packages. Schumacker’s text provides the freedom to effectively calculate, manipulate, and graphically display data, using R, on different computer operating systems without the expense of commercial software. Learning Statistics Using R places statistics within the framework of conducting research, where statistical research hypotheses can be directly addressed. Each chapter includes discussion and explanations, tables and graphs, and R functions and outputs to enrich readers' understanding of statistics through statistical computing and modeling.

Available with Perusall—an eBook that makes it easier to prepare for class
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PART I. Introduction and Background
1. R Basics
2. Research Methods
3. Probability
4. Sampling and Populations
PART II. Statistical Theory and Inference
5. Central Limit Theorem
6. Sampling Distributions
7. Statistical Distributions
PART III. Descriptive Methods
8. Graphing Data
9. Central Tendency and Dispersion
PART IV. Statistical Methods
10. Hypothesis Testing
11. Chi-Square Test for Categorical Data
12. z Test for Differences in Proportions
13. t Test for Mean Differences (2 groups)
14. F Test for Mean Differences (3 or more groups)
15. Correlation Tests of Association
16. Linear Regression Tests of Prediction
17. Multiple Regression
18. Logistic Regression
19. Loglinear Regression
PART V. Replication and Validation of Research Findings
20. Replication of Statistical Tests
21. Synthesis of Research Findings
Glossary of Terms
Glossary of Packages, Functions, and Commands Used in Book
Statistical Tables
Guide for Selecting a Statistical Test


Instructor Resource Site

Calling all instructors!
It’s easy to log on to SAGE’s password-protected Instructor Teaching Site at for complete and protected access to all text-specific Instructor Resources for Learning Statistics Using R. Simply provide your institutional information for verification and within 72 hours you’ll be able to use your login information for any SAGE title!

Password-protected Instructor Resources include the following:

  • A Microsoft® Word® test bank is available containing multiple choice, true/false, short answer, and essay questions for each chapter. The test bank provides you with a diverse range of pre-written options as well as the opportunity for editing any question and/or inserting your own personalized questions to effectively assess students’ progress and understanding.
  • A Respondus electronic test bank is available and can be used on PCs. The test bank contains multiple choice, true/false, short answer, and essay questions for each chapter and provides you with a diverse range of pre-written options as well as the opportunity for editing any question and/or inserting your own personalized questions to effectively assess students’ progress and understanding. Respondus is also compatible with many popular learning management systems so you can easily get your test questions into your online course.
  • Editable, chapter-specific Microsoft® PowerPoint® slides offer you complete flexibility in easily creating a multimedia presentation for your course. Highlight essential content, features, and artwork from the book.
  • The Instructor Teaching Site includes complete answers to all in-text questions.
  • Data sets are available for practice exercises.
  • EXCLUSIVE! Access to certain full-text SAGE journal articles that have been carefully selected for each chapter. Each article supports and expands on the concepts presented in the chapter. This feature also provides questions to focus and guide student interpretation. Combine cutting-edge academic journal scholarship with the topics in your course for a robust classroom experience.
  • Lecture notes summarize key concepts on a chapter-by-chapter basis to help with preparation for lectures and class discussions.
Student Study Site
Use the Student Study Site to get the most out of your course!

The open-access Student Study Site at includes the following:

  • Mobile-friendly eFlashcards reinforce understanding of key terms and concepts that have been outlined in the chapters.
  • Mobile-friendly web quizzes allow for independent assessment of progress made in learning course material.

This book provides a very good introduction to stats with worked examples in R. It would work well as the primary source for a first course on stats or - as is my case -as a cheap and straight forward self-contained self-learning text for students switching to R from other statistical packages. I am very likely to use this book for other courses also. It stacks to very well against the many other introductory statistics texts in R that I have seen.

Professor Laust Mortensen
Department of Public Health, University of Copenhagen
April 24, 2014

Book did not offer the information our college is looking for

Professor Helen Green
Social Behavioral Science Div, Cuyahoga Cmty College-Metro
April 17, 2014

The School of Education department is currently still using SPSS as the primary statistical software. But, in a future this would be a good textbook to adopt.

Professor Ivana Fredotovic
Mathematics Computer Sci Dept, Barry University-Miami
July 22, 2015

This is a great book

Dr Terrence Warburton
April 9, 2014
Key features


  • The book follows the logic of data input from vectors, arrays, matrices, and data frames to the input of data sets from SPSS, SAS, STATA, and other software packages.
  • The book describes the processing of variables used in statistical procedures and shows output from the R functions, as well as customized tables and graphs.
  • Learning to use R gives readers the freedom to use it in learning and conducting statistical analyses on different computer operating systems without the expense of commercial software.
  • R software is free, easy-to-use, portable and can be used on Apple, PC, and Linux computer operating systems.

Sample Materials & Chapters

Chapter 5

Chapter 16

For instructors

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