Nicht aus der Schweiz? Besuchen Sie lehmanns.de
Getting Started with R - Andrew P. Beckerman, Dylan Z. Childs, Owen L. Petchey

Getting Started with R

An Introduction for Biologists
Buch | Softcover
256 Seiten
2017 | 2nd Revised edition
Oxford University Press (Verlag)
978-0-19-878784-6 (ISBN)
CHF 48,95 inkl. MwSt
A popular entry-level guide into the use of R as a statistical programming and data management language for students, post-docs, and seasoned researchers now in a new revised edition, incorporating the updates in the R environment, and also adding guidance on the use of more complex statistical analyses and tools.
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.

Andrew leads a research team studying community and evolutionary ecology. He has been using R and teaching quantitative methods for over 16 years. Owen leads a research team studying ecological forecasting. He has been using R and teaching quantitative methods for over 16 years. Dylan leads a research team studying population biology. He has been using R and teaching quantitative methods for over 15 years.

Preface
1: Getting and getting acquainted with R
2: Getting your data into R
3: Data management, manipulation, and exploration with dplyr
4: Visualising your data
5: Introducing statistics in R
6: Advancing your statistics in R
7: Getting started with generalised linear models
8: Pimping your plots: scales and themes in ggplot2
9: Closing remarks
Appendices

Erscheinungsdatum
Verlagsort Oxford
Sprache englisch
Maße 167 x 240 mm
Gewicht 498 g
Themenwelt Mathematik / Informatik Informatik Software Entwicklung
Mathematik / Informatik Mathematik Computerprogramme / Computeralgebra
Naturwissenschaften Biologie
ISBN-10 0-19-878784-7 / 0198787847
ISBN-13 978-0-19-878784-6 / 9780198787846
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
Deterministische und randomisierte Algorithmen

von Volker Turau; Christoph Weyer

Buch | Softcover (2024)
De Gruyter Oldenbourg (Verlag)
CHF 89,95
Programmieren erlernen und technische Fragestellungen lösen

von Harald Nahrstedt

Buch | Softcover (2023)
Springer Vieweg (Verlag)
CHF 62,95
Grundlagen, Prozesse, Methoden und Werkzeuge

von Jörg Schäuffele; Thomas Zurawka

Buch | Hardcover (2024)
Springer Vieweg (Verlag)
CHF 139,95