A Primer in Biological Data Analysis and Visualization Using R
Autor Gregg Hartvigsenen Limba Engleză Paperback – 2 aug 2021
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Specificații
ISBN-13: 9780231202138
ISBN-10: 023120213X
Pagini: 208
Dimensiuni: 179 x 252 x 17 mm
Greutate: 0.43 kg
Editura: Columbia University Press
ISBN-10: 023120213X
Pagini: 208
Dimensiuni: 179 x 252 x 17 mm
Greutate: 0.43 kg
Editura: Columbia University Press
Notă biografică
Gregg Hartvigsen is a professor in the Department of Biology at the State University of New York at Geneseo.
Cuprins
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
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
Descriere
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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.
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.