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This text is an engaging, practical, and lab-oriented introduction to R for students in the life sciences. This second edition has been revised to be current with the versions of R software released since the book¿s original publication. It features updated terminology, sources, and examples throughout.
List 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
About the author
Gregg Hartvigsen is a professor in the Department of Biology at the State University of New York at Geneseo.
Summary
This text is an engaging, practical, and lab-oriented introduction to R for students in the life sciences. This second edition has been revised to be current with the versions of R software released since the book’s original publication. It features updated terminology, sources, and examples throughout.
Additional text
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.
