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OCoLC |
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20220616175855.0 |
| 008 |
160705s2017 enka b 001 0 eng |
| 010 |
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|a 2016946804
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|a 960286501
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|a DLC
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|a EEMR
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|a QA276.45.R3
|b B43 2017
|
| 082 |
0 |
4 |
|a 519.502855133
|2 23
|
| 100 |
1 |
|
|a Beckerman, Andrew P.,
|e author.
|0 http://id.loc.gov/authorities/names/no2012080500
|
| 245 |
1 |
0 |
|a Getting started with R :
|b an introduction for biologists /
|c Andrew P. Beckerman, Dylan Z. Childs, Department of Animal and Plant Sciences, University of Sheffield, Owen L. Petchey, Department of Evolutionary Biology and Environmental Studies, University of Zurich.
|
| 250 |
|
|
|a Second edition.
|
| 264 |
|
1 |
|a Oxford :
|b Oxford University Press,
|c 2017.
|
| 300 |
|
|
|a xviii, 231 pages :
|b illustrations (some color) ;
|c 24 cm
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a unmediated
|b n
|2 rdamedia
|
| 338 |
|
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|a volume
|b nc
|2 rdacarrier
|
| 504 |
|
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|a Includes bibliographical references and index.
|
| 505 |
0 |
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|a Getting and getting acquainted with R -- Getting your data into R -- Data management, manipulation, and exploration with dplyr -- Visualizing your data -- Introducing statistics in R -- Advancing your statistics in R -- Getting started with generalized linear models -- Pimping your plots: scales and themes in ggplot2 -- Closing remarks: final comments and encouragement.
|
| 520 |
|
|
|a "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."--Publisher's website.
|
| 650 |
|
0 |
|a R (Computer program language)
|0 http://id.loc.gov/authorities/subjects/sh2002004407
|
| 650 |
|
0 |
|a Mathematical statistics
|x Data processing.
|0 http://id.loc.gov/authorities/subjects/sh85082137
|
| 650 |
|
7 |
|a Mathematical statistics
|x Data processing.
|2 fast
|0 (OCoLC)fst01012133
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| 650 |
|
7 |
|a R (Computer program language)
|2 fast
|0 (OCoLC)fst01086207
|
| 650 |
|
7 |
|a Science.
|2 ukslc
|
| 700 |
1 |
|
|a Childs, Dylan Z.,
|e author.
|0 http://id.loc.gov/authorities/names/no2017076033
|
| 700 |
1 |
|
|a Petchey, Owen L.,
|e author.
|0 http://id.loc.gov/authorities/names/no2012080499
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|p Can Circulate
|a Michigan State University-Library of Michigan
|b Michigan State University
|c MSU Main Library
|d MSU Main Library
|t 0
|e QA276.45.R3 B43 2017
|h Library of Congress classification
|i Printed Material
|m 31293035886674
|n 1
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