A Primer in Biological Data Analysis and Visualization Using R

✍ Scribed by Gregg Hartvigsen

• Publisher: Columbia University Press
• Year: 2014
• Tongue: English
• Leaves: 248
• Edition: Pilot project. eBook available to selected US libraries only
• Category: Library

✦ Synopsis

Drawing on Gregg Hartvigsen’s extensive experience teaching biostatistics and modeling biological systems, this text is an engaging, practical, and lab-oriented introduction to R for students in the life sciences.

✦ Table of Contents

Contents
INTRODUCTION
CHAPTER 1. INTRODUCING OUR SOFTWARE TEAM
CHAPTER 2. GETTING DATA INTO R
CHAPTER 3. WORKING WITH YOUR DATA
CHAPTER 4. TELL ME ABOUT MY DATA
CHAPTER 5. VISUALIZING YOUR DATA
CHAPTER 6. THE INTERPRETATION OF HYPOTHESIS TESTS
CHAPTER 7. HYPOTHESIS TESTS: ONE- AND TWO-SAMPLE COMPARISONS
CHAPTER 8. TESTING DIFFERENCES AMONG MULTIPLE SAMPLES
CHAPTER 9. HYPOTHESIS TESTS: LINEAR RELATIONSHIPS
CHAPTER 10. HYPOTHESIS TESTS: OBSERVED AND EXPECTED VALUES
CHAPTER 11. A FEW MORE ADVANCED PROCEDURES
CHAPTER 12. AN INTRODUCTION TO COMPUTER PROGRAMMING
CHAPTER 13. FINAL THOUGHTS
ACKNOWLEDGMENTS
SOLUTIONS TO ODD-NUMBERED PROBLEMS
BIBLIOGRAPHY
INDEX