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:
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

MARC

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245 1 2 |a A Primer in Biological Data Analysis and Visualization Using R. 
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300 |a 1 online resource (217 p.) 
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500 |a Description based upon print version of record. 
505 0 |a 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 
505 8 |a 12. An Introduction to Computer Programming -- 13. Final Thoughts -- Appendix: Solutions to Select Problems -- Bibliography -- Index 
520 |a 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. 
650 0 |a R (Computer program language)  |0 http://id.loc.gov/authorities/subjects/sh2002004407 
650 0 |a Mathematical statistics  |x Data processing.  |0 http://id.loc.gov/authorities/subjects/sh85082137 
650 6 |a R (Langage de programmation) 
650 6 |a Statistique mathématique  |x Informatique. 
650 7 |a SCIENCE / Life Sciences / Biology  |2 bisacsh 
650 7 |a Mathematical statistics  |x Data processing.  |2 fast  |0 (OCoLC)fst01012133 
650 7 |a R (Computer program language)  |2 fast  |0 (OCoLC)fst01086207 
655 4 |a Electronic books. 
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