A Primer in Biological Data Analysis and Visualization Using R.

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Bibliographic Details
Author / Creator:	Hartvigsen, Gregg.
Imprint:	New York : Columbia University Press, 2021.
Description:	1 online resource (217 p.)
Language:	English
Subject:	R (Computer program language) Mathematical statistics -- Data processing. Mathematical statistics -- Data processing. R (Computer program language)
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/13457937

Hidden Bibliographic Details
ISBN:	0231554400 9780231554404
Notes:	Description based upon print version of record.
Summary:	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.
Other form:	Print version: Hartvigsen, Gregg A Primer in Biological Data Analysis and Visualization Using R New York : Columbia University Press,c2021

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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