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R Data Analysis without Programming

"This book is a straightforward resource for students or data analysts who would like to use R without investing valuable time learning the minutia associated with programming in R. David Gerbing makes an intimidating programming language manageable with examples from real-world scenarios. What sets this book apart is the depth and approachable level in which the output is explained."
--Tiffany A. Whittaker, The University of Texas at Austin, USA

To request your complimentary copy, please click here.

Highlights of the book include:

  • Quick Starts that introduce readers to the concepts and commands reviewed in the chapters.
  • Margin notes that highlight, define, illustrate, and cross-reference the key concepts. When readers encounter a term previously discussed, the margin notes identify the page number to the initial introduction.
  • Scenarios that highlight the use of a specific analysis followed by the corresponding R/lessR input and an interpretation of the resulting output.
  • Numerous examples of output from psychology, business, education, and other social sciences, that demonstrate how to interpret results.
  • Two data sets, provided on the website and analyzed multiple times in the book, provide continuity throughout.
  • End of chapter worked problems help readers test their understanding of the concept

To learn more about R Data Analysis without Programming, please click here.

About the Author:
David W. Gerbing is a Professor in the School of Business Administration at Portland State University. He has published extensively in psychology, sociology, education, statistics, and business journals.

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Table of Contents:
1. R for Data Analysis
2. Read/Write Data
3. Edit Data
4. Categorical Variables
5. Continuous Variables
6. Means, Compare Two
Samples
7. Compare Multiple Samples
8. Correlation
9. Regression I
10. Regression II
11. Factor/Item Analysis

To request your complimentary copy, please click here.