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Getting started with R : an introduction for biologists / Andrew P. Beckerman & Owen L. Petchey ; Department of Animal and Plant Sciences, University of Sheffield & Institute of Evolutionary Biology and Environmental Studies, University of Z�urich.

By: Contributor(s): Series: Oxford biologyPublisher: Oxford : Oxford University Press, 2012Description: x, 113 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780199601615
  • 0199601615
  • 9780199601622
  • 0199601623
Subject(s): LOC classification:
  • QA276.45.R3 B43 2012
Contents:
1: Why R? -- 2: Import explore graph I -- getting started -- 3: Import explore graph II -- importing and exploring -- 4: Import explore graph III -- graphs -- 5: Getting started doing your statistics in R.
Summary: "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.Summary: 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."--pub. desc.
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
BOOK BOOK NCAR Library Foothills Lab QA276.45 .R3 .B43 2012 1 Available 50583020000240
Total holds: 0

Includes index.

Includes bibliographical references (p. [109]) and index.

1: Why R? -- 2: Import explore graph I -- getting started -- 3: Import explore graph II -- importing and exploring -- 4: Import explore graph III -- graphs -- 5: Getting started doing your statistics in R.

"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."--pub. desc.

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