Getting Started with R: An Introduction for Biologists

Beckerman, Andrew P.

ISBN 10: 0199601623 / ISBN 13: 9780199601622

Editore: Oxford University Press, 2012

Riguardo questo articolo

Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks. Codice articolo Scanned0199601623

Dati bibliografici

Titolo: Getting Started with R: An Introduction for ...

Casa editrice: Oxford University Press

Data di pubblicazione: 2012

Legatura: Paperback

Condizione: new

Descrizione articolo

Riassunto:

Learning how to get answers from data is an integral part of modern training in the natural, physical, social, and engineering sciences. One of the most exciting changes in data management and analysis during the last decade has been the growth of open source software. The open source statistics and programming language R has emerged as a critical component of any researcher's toolbox. Indeed, R is rapidly becoming the standard software for analyses, graphical presentations, and programming in the biological sciences.

This book provides a functional introduction for biologists new to R. While teaching how to import, explore, graph, and analyse data, it keeps readers focused on their ultimate goals - communicating their data in oral presentations, posters, papers, and reports. It also provides a consistent method (workflow) for using R that is simple, efficient, reliable, accurate, and reproducible. The material in the book reproduces the engaging and sometimes humorous nature of the three-day course on which it is based.

Recensione:

I've been using R for a few years now but have never come across an introductory guide as concise and accessible as this one. I shall be recommending it to our MSc students with glowing praise! (Dr Tim Fawcett, Centre for Research in Animal Behaviour (CRAB), University of Exeter)

The book would make the ideal text for a short course on data management and presentation - it truly packs an amazing amount of wisdom and wit between slim covers. (Graeme D. Ruxton, Trends in Ecology and Evolution)

I was engaged by the refreshing style of the authors, that while informal, gives the user clear step-by-step instructions for using the software. Apart from the clear biological leaning of the example data, this book is applicable to anyone learning R (even a statistician!). (Significance)