A Primer in Biological Data Analysis and Visualization Using R

by Gregg Hartvigsen

Overview

R is a popular programming language that statisticians use to perform a variety of statistical computing tasks. Rooted in Gregg Hartvigsen's extensive experience teaching biology, this text is an engaging, practical, and lab-oriented introduction to R for students in the life sciences.

Underscoring the importance of R and RStudio to the organization, computation, and visualization of biological statistics and data, Hartvigsen guides readers through the processes of entering data into R, working with data in R, and using R to express data in histograms, boxplots, barplots, scatterplots, before/after line plots, pie charts, and graphs. He covers data normality, outliers, and nonnormal data and examines frequently used statistical tests with one value and one sample; paired samples; more than two samples across a single factor; correlation; and linear regression. The volume also includes a section on advanced procedures and a final chapter on possible extensions into programming, featuring a discussion of algorithms, the art of looping, and combining programming and output.

Columbia University Press

Product Details

ISBN-13:	9780231166997
Publisher:	Columbia University Press
Publication date:	02/18/2014
Pages:	248
Product dimensions:	6.90(w) x 9.90(h) x 0.70(d)
Age Range:	18 Years

About the Author

Gregg Hartvigsen is a professor in the Department of Biology at the State University of New York, Geneseo.

Columbia University Press

Table of Contents

Preface to the Second Edition
Acknowledgments
Introduction
1. Introducing Our Software Team
2. Getting Data Into R
3. Working with Your Data
4. Tell Me About My Data
5. Visualizing Your Data
6 An Overview of Science, Hypothesis Testing, Experimental Design, and Inference
7. Hypothesis Tests: Using One- and Two-Sample Tests
8. Hypothesis Tests: Differences Among Multiple Samples
9. Hypothesis Tests: Linear Relationships
10. Hypothesis Tests: Observed and Expected Values
11. A few More Advanced Procedures
12. An Introduction to Computer Programming
13. Final Thoughts
Appendix: Solutions to Select Problems
Bibliography
Index

Editorial Reviews

A well-written overview of both biostatistics and R programming.... this volume will fill an important niche for undergraduate biology.

Quarterly Review of Biology

Hartvigsen has succeeded in accomplishing his stated objectives. Buy the book and share the knowledge with students… the book is relevant, timely, and just what is needed with current trends in science education.

Ecology

"An excellent, easy to read introduction to biostatistics and the software program R. Simple but rigorous, with top notch coverage of R. I would recommend this book to colleagues and students."

Dr. Andy Conway

An excellent, easy-to-read introduction to biostatistics and the software program R. Simple but rigorous, with top-notch coverage of R. I would recommend this new edition to both colleagues and students.

Andrew Conway

A Primer in Biological Data Analysis and Visualization Using R does a thorough job of introducing students to R and showing them how to perform basic statistical tests for normality, homogeneity, and other elements of data sets. Additionally, the book's focus on the application of statistical tests is most helpful for students in later coursework.

Cecilia Brothers

An excellent, easy-to-read introduction to biostatistics and the software program R. Simple but rigorous, with top-notch coverage of R. I would recommend this book to both colleagues and students.

Andy Conway

A recommendation for any college-level course strong in biostatistics and modeling...a fine guide for science and R programming students alike.

Midwest Book Review