Hartvigsen A Primer in Biological Data Analysis and Visualization Using R

1. Auflage 2021
ISBN: 978-0-231-55440-4
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch

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.

Autoren/Hrsg.

Hartvigsen, Gregg

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
• Naturwissenschaften Biowissenschaften Biowissenschaften
• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Numerische Mathematik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Epidemiologie, Medizinische Statistik
• Sozialwissenschaften Pädagogik Pädagogik

Inhaltsverzeichnis

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

Über Autor(innen)

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