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Presenting Scientific Data in R

Name: Presenting Scientific Data in R
Brand: Oxford University Press
SKU: 9780198870470
Price: 188.12 PLN
Availability: InStock

Creating effective graphs and figures

Autor: Humphreys, Rosalind K. (Researcher, Researcher, University of St Andrews), Ruxton, Graeme D. (Professor of Evolutionary Ecology, Professor of Evolutionary Ecology, University of St Andrews)

Język:

Oprawa: Miękka

Wydawca: Oxford University Press

Dostępność: Dostępna u dostawcy

Wysyłamy za 14-21 dni

188.12 zł

Written primarily for students embarking on an undergraduate bioscience degree, this primer provides...

Informacje o książce

Autor

Humphreys, Rosalind K. (Researcher, Researcher, University of St Andrews), Ruxton, Graeme D. (Professor of Evolutionary Ecology, Professor of Evolutionary Ecology, University of St Andrews)

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2022

strony

208

EAN

9780198870470

ISBN

0198870477

Enbook ID

39080871

Wydawca

Oxford University Press

Waga

412

Wymiary

245 x 190 x 12

Pełny opis

Written primarily for students embarking on an undergraduate bioscience degree, this primer provides an accessible, straightforward, and approachable guide to data presentation using R. It offers valuable and widely applicable advice on how to choose the most appropriate type of graph for different types of data, and guides readers from the basics of plotting clear figures to producing polished and effective visuals, illustrating the core concepts and features of excellent graphing. This primer uses simple and engaging biology-based example data sets to take readers from the essential aspects of basic plots to more advanced graphing techniques and details. Digital formats and resources The book is available for students and institutions to purchase in a variety of formats, and is supported by online resources: - The e-book offers a mobile experience and convenient access along with functionality tools, navigation features, and links that offer extra learning support: www.oxfordtextbooks.co.uk/ebooks - Online resources include extended supplementary resources to guide use of R, multiple choice questions for students to check their understanding, and, for registered adopters, figures and tables from the book