A Primer in Biological Data Analysis and Visualization Using R:
R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data. Drawing on Gregg Hartvigsen's extensive experience teaching biostatistics and modeling biological systems, this text is an engaging, practical, and lab-oriented i...
Gespeichert in:
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Columbia University Press
[2021]
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| Schlagworte: | |
| Online-Zugang: | FAW01 FCO01 FHA01 FKE01 FLA01 UPA01 Volltext |
| Zusammenfassung: | R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data. 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.Underscoring the importance of R and RStudio in organizing, computing, and visualizing biological statistics and data, Hartvigsen guides readers through the processes of correctly entering and analyzing data and using R to visualize data using histograms, boxplots, barplots, scatterplots, and other common graph types. He covers testing data for normality, defining and identifying outliers, and working with non-normally distributed data. Students are introduced to common one- and two-sample tests as well as one- and two-way analysis of variance (ANOVA), correlation, and linear and nonlinear regression analyses. This volume also includes a section on advanced procedures and a chapter outlining algorithms and the art of programming using R.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 on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021) |
| Beschreibung: | 1 online resource 65 figures |
| ISBN: | 9780231554404 |
| DOI: | 10.7312/hart20212 |
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| 520 | |a R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data. 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.Underscoring the importance of R and RStudio in organizing, computing, and visualizing biological statistics and data, Hartvigsen guides readers through the processes of correctly entering and analyzing data and using R to visualize data using histograms, boxplots, barplots, scatterplots, and other common graph types. He covers testing data for normality, defining and identifying outliers, and working with non-normally distributed data. Students are introduced to common one- and two-sample tests as well as one- and two-way analysis of variance (ANOVA), correlation, and linear and nonlinear regression analyses. This volume also includes a section on advanced procedures and a chapter outlining algorithms and the art of programming using R.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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Datensatz im Suchindex
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| isbn | 9780231554404 |
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| spelling | Hartvigsen, Gregg Verfasser (DE-588)1075023262 aut A Primer in Biological Data Analysis and Visualization Using R Gregg Hartvigsen New York, NY Columbia University Press [2021] © 2021 1 online resource 65 figures txt rdacontent c rdamedia cr rdacarrier Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021) R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data. 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.Underscoring the importance of R and RStudio in organizing, computing, and visualizing biological statistics and data, Hartvigsen guides readers through the processes of correctly entering and analyzing data and using R to visualize data using histograms, boxplots, barplots, scatterplots, and other common graph types. He covers testing data for normality, defining and identifying outliers, and working with non-normally distributed data. Students are introduced to common one- and two-sample tests as well as one- and two-way analysis of variance (ANOVA), correlation, and linear and nonlinear regression analyses. This volume also includes a section on advanced procedures and a chapter outlining algorithms and the art of programming using R.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 In English SCIENCE / Life Sciences / Biology bisacsh Mathematical statistics Data processing R (Computer program language) Biostatistik (DE-588)4729990-3 gnd rswk-swf R Programm (DE-588)4705956-4 gnd rswk-swf R Programm (DE-588)4705956-4 s Biostatistik (DE-588)4729990-3 s DE-604 Erscheint auch als Druck-Ausgabe, Paperback 978-0-231-20213-8 Erscheint auch als Druck-Ausgabe, Hardcover 978-0-231-20212-1 https://doi.org/10.7312/hart20212 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Hartvigsen, Gregg A Primer in Biological Data Analysis and Visualization Using R SCIENCE / Life Sciences / Biology bisacsh Mathematical statistics Data processing R (Computer program language) Biostatistik (DE-588)4729990-3 gnd R Programm (DE-588)4705956-4 gnd |
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| 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_exact_search_txtP | A Primer in Biological Data Analysis and Visualization Using R |
| title_full | A Primer in Biological Data Analysis and Visualization Using R Gregg Hartvigsen |
| title_fullStr | A Primer in Biological Data Analysis and Visualization Using R Gregg Hartvigsen |
| title_full_unstemmed | A Primer in Biological Data Analysis and Visualization Using R Gregg Hartvigsen |
| title_short | A Primer in Biological Data Analysis and Visualization Using R |
| title_sort | a primer in biological data analysis and visualization using r |
| topic | SCIENCE / Life Sciences / Biology bisacsh Mathematical statistics Data processing R (Computer program language) Biostatistik (DE-588)4729990-3 gnd R Programm (DE-588)4705956-4 gnd |
| topic_facet | SCIENCE / Life Sciences / Biology Mathematical statistics Data processing R (Computer program language) Biostatistik R Programm |
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