A Primer in Biological Data Analysis and Visualization Using R

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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 th...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Hartvigsen, Gregg
Format: Electronic eBook
Language:Inglés
Published: New York : Columbia University Press, 2021.
Subjects:
R (Computer program language)
Mathematical statistics > Data processing.
R (Langage de programmation)
Statistique mathématique > Informatique.
SCIENCE / Life Sciences / Biology
Mathematical statistics > Data processing
Online Access:Texto completo
Table of Contents:
  • 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

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