Getting Started with R An Introduction for Biologists
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- Taschenbuch
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Form:Einzelkauf Download
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Sprache:Englisch
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eBook Format:ePUB
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44,99 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
ePUB
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Ja
Erscheinungsdatum
23.02.2017
Verlag
OUP eBookSeitenzahl
240 (Printausgabe)
Dateigröße
5316 KB
Auflage
2. Auflage
Sprache
Englisch
EAN
9780191091933
R is rapidly becoming the standard software for statistical analyses, graphical presentation of data, and programming in the natural, physical, social, and engineering sciences. Getting Started with R is now the go-to introductory guide for biologists wanting to learn how to use R in their research. It teaches readers how to import, explore, graph, and analyse data, while keeping them focused on their ultimate goals: clearly communicating their data in oral presentations, posters, papers, and reports. It provides a consistent workflow for using R that is simple, efficient, reliable, and reproducible.
This second edition has been updated and expanded while retaining the concise and engaging nature of its predecessor, offering an accessible and fun introduction to the packages dplyr and ggplot2 for data manipulation and graphing. It expands the set of basic statistics considered in the first edition to include new examples of a simple regression, a one-way and a two-way ANOVA. Finally, it introduces a new chapter on the generalised linear model.
Getting Started with R is suitable for undergraduates, graduate students, professional researchers, and practitioners in the biological sciences.
This second edition has been updated and expanded while retaining the concise and engaging nature of its predecessor, offering an accessible and fun introduction to the packages dplyr and ggplot2 for data manipulation and graphing. It expands the set of basic statistics considered in the first edition to include new examples of a simple regression, a one-way and a two-way ANOVA. Finally, it introduces a new chapter on the generalised linear model.
Getting Started with R is suitable for undergraduates, graduate students, professional researchers, and practitioners in the biological sciences.
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