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 introd...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York
Columbia University Press
[2021]
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| Ausgabe: | Second edition |
| Schlagworte: | |
| 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: | xviii, 198 Seiten Diagramme 254 mm |
| ISBN: | 9780231202138 9780231202121 |
Internformat
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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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| author | Hartvigsen, Gregg |
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| discipline | Biologie Informatik |
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T17:52:10Z |
| indexdate | 2024-07-10T09:11:04Z |
| institution | BVB |
| isbn | 9780231202138 9780231202121 |
| language | English |
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| physical | xviii, 198 Seiten Diagramme 254 mm |
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| publisher | Columbia University Press |
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| spelling | Hartvigsen, Gregg Verfasser (DE-588)1075023262 aut A primer in biological data analysis and visualization using R Gregg Hartvigsen Second edition New York Columbia University Press [2021] xviii, 198 Seiten Diagramme 254 mm txt rdacontent n rdamedia nc rdacarrier 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 bisacsh / COMPUTERS / Programming Languages / General bisacsh / EDUCATION / Statistics bisacsh / MATHEMATICS / Numerical Analysis bisacsh / MEDICAL / Biostatistics bisacsh / SOCIAL SCIENCE / Statistics R Programm (DE-588)4705956-4 gnd rswk-swf Biostatistik (DE-588)4729990-3 gnd rswk-swf R Programm (DE-588)4705956-4 s Biostatistik (DE-588)4729990-3 s DE-604 Erscheint auch als Online-Ausgabe 978-0-231-55440-4 |
| spellingShingle | Hartvigsen, Gregg A primer in biological data analysis and visualization using R bisacsh / COMPUTERS / Programming Languages / General bisacsh / EDUCATION / Statistics bisacsh / MATHEMATICS / Numerical Analysis bisacsh / MEDICAL / Biostatistics bisacsh / SOCIAL SCIENCE / Statistics R Programm (DE-588)4705956-4 gnd Biostatistik (DE-588)4729990-3 gnd |
| subject_GND | (DE-588)4705956-4 (DE-588)4729990-3 |
| 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 | bisacsh / COMPUTERS / Programming Languages / General bisacsh / EDUCATION / Statistics bisacsh / MATHEMATICS / Numerical Analysis bisacsh / MEDICAL / Biostatistics bisacsh / SOCIAL SCIENCE / Statistics R Programm (DE-588)4705956-4 gnd Biostatistik (DE-588)4729990-3 gnd |
| topic_facet | bisacsh / COMPUTERS / Programming Languages / General bisacsh / EDUCATION / Statistics bisacsh / MATHEMATICS / Numerical Analysis bisacsh / MEDICAL / Biostatistics bisacsh / SOCIAL SCIENCE / Statistics R Programm Biostatistik |
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