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A Primer in Biological Data Analysis and Visualization Using R
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 th...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York :
Columbia University Press,
2021.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000Mu 4500 | ||
|---|---|---|---|
| 001 | JSTOR_on1256254297 | ||
| 003 | OCoLC | ||
| 005 | 20231005004200.0 | ||
| 006 | m o d | ||
| 007 | cr cnu---unuuu | ||
| 008 | 210612s2021 nyu o ||| 0 eng d | ||
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| 020 | |a 9780231554404 |q (electronic bk.) | ||
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| 035 | |a (OCoLC)1256254297 | ||
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| 082 | 0 | 4 | |a 005.13/3 |2 23 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Hartvigsen, Gregg. | |
| 245 | 1 | 2 | |a A Primer in Biological Data Analysis and Visualization Using R |h [electronic resource]. |
| 260 | |a New York : |b Columbia University Press, |c 2021. | ||
| 300 | |a 1 online resource (217 p.) | ||
| 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. | ||
| 590 | |a JSTOR |b Books at JSTOR All Purchased | ||
| 590 | |a JSTOR |b Books at JSTOR Demand Driven Acquisitions (DDA) | ||
| 650 | 0 | |a R (Computer program language) | |
| 650 | 0 | |a Mathematical statistics |x Data processing. | |
| 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 | |
| 650 | 7 | |a R (Computer program language) |2 fast | |
| 776 | 0 | 8 | |i Print version: |a Hartvigsen, Gregg |t A Primer in Biological Data Analysis and Visualization Using R |d New York : Columbia University Press,c2021 |
| 856 | 4 | 0 | |u https://jstor.uam.elogim.com/stable/10.7312/hart20212 |z Texto completo |
| 938 | |a De Gruyter |b DEGR |n 9780231554404 | ||
| 938 | |a Askews and Holts Library Services |b ASKH |n AH38813780 | ||
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL6381599 | ||
| 938 | |a EBSCOhost |b EBSC |n 2662842 | ||
| 994 | |a 92 |b IZTAP | ||