A Primer in Biological Data Analysis and Visualization Using R /

A Primer in Biological Data Analysis and Visualization Using R / / Gregg Hartvigsen.

R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data. Drawing on Gregg Hartvigsen’s extensive experience teaching biostatistics and modeling biological systems, this text is an engaging, practical, and lab-oriented introd...

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Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter Columbia University Press Complete eBook-Package 2021
VerfasserIn:
Hartvigsen, Gregg,
Place / Publishing House:New York, NY : : Columbia University Press, , [2021]
©2021
Year of Publication:2021
Language:English
Online Access:
Physical Description:1 online resource :; 65 figures
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Table of Contents:
  • Frontmatter
  • Contents
  • Preface to the Second Edition
  • Acknowledgments
  • Introduction
  • 1. Introducing Our Software Team
  • 2. Getting Data intro 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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