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...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York :
Columbia University Press,
2021.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | 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. |
| Beschreibung: | Description based upon print version of record. |
| Beschreibung: | 1 online resource (217 p.) |
| ISBN: | 0231554400 9780231554404 |
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| 300 | |a 1 online resource (217 p.) | ||
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| 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. | ||
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| 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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| spelling | Hartvigsen, Gregg. A Primer in Biological Data Analysis and Visualization Using R [electronic resource]. New York : Columbia University Press, 2021. 1 online resource (217 p.) Description based upon print version of record. 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 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. R (Computer program language) http://id.loc.gov/authorities/subjects/sh2002004407 Mathematical statistics Data processing. http://id.loc.gov/authorities/subjects/sh85082137 R (Langage de programmation) Statistique mathématique Informatique. SCIENCE / Life Sciences / Biology bisacsh Mathematical statistics Data processing fast R (Computer program language) fast Print version: Hartvigsen, Gregg A Primer in Biological Data Analysis and Visualization Using R New York : Columbia University Press,c2021 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2662842 Volltext |
| spellingShingle | Hartvigsen, Gregg A Primer in Biological Data Analysis and Visualization Using R 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 R (Computer program language) http://id.loc.gov/authorities/subjects/sh2002004407 Mathematical statistics Data processing. http://id.loc.gov/authorities/subjects/sh85082137 R (Langage de programmation) Statistique mathématique Informatique. SCIENCE / Life Sciences / Biology bisacsh Mathematical statistics Data processing fast R (Computer program language) fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh2002004407 http://id.loc.gov/authorities/subjects/sh85082137 |
| title | A Primer in Biological Data Analysis and Visualization Using R |
| title_auth | A Primer in Biological Data Analysis and Visualization Using R |
| title_exact_search | A Primer in Biological Data Analysis and Visualization Using R |
| title_full | A Primer in Biological Data Analysis and Visualization Using R [electronic resource]. |
| title_fullStr | A Primer in Biological Data Analysis and Visualization Using R [electronic resource]. |
| title_full_unstemmed | A Primer in Biological Data Analysis and Visualization Using R [electronic resource]. |
| title_short | A Primer in Biological Data Analysis and Visualization Using R |
| title_sort | primer in biological data analysis and visualization using r |
| topic | R (Computer program language) http://id.loc.gov/authorities/subjects/sh2002004407 Mathematical statistics Data processing. http://id.loc.gov/authorities/subjects/sh85082137 R (Langage de programmation) Statistique mathématique Informatique. SCIENCE / Life Sciences / Biology bisacsh Mathematical statistics Data processing fast R (Computer program language) fast |
| topic_facet | R (Computer program language) Mathematical statistics Data processing. R (Langage de programmation) Statistique mathématique Informatique. SCIENCE / Life Sciences / Biology Mathematical statistics Data processing |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2662842 |
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