A Primer in Biological Data Analysis and Visualization Using R.
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 th...
| Autor principal: | |
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| Format: | Licensed eBooks |
| Idioma: | anglès |
| Publicat: |
New York :
Columbia University Press,
2021.
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| Accés en línia: | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2662842 |
Taula de continguts:
- Intro
- 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