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019 ▼a 1239983124 ▼a 1249693098
020 ▼a 9780191884351 ▼q (electronic book)
020 ▼a 0191884359 ▼q (electronic book)
020 ▼z 0198849818 ▼q (hardback)
020 ▼z 9780198849810 ▼q (hardback)
020 ▼z 9780198849827 ▼q (paperback)
020 ▼a 9780192589736
020 ▼a 0192589733
035 ▼a 2756968 ▼b (N$T)
035 ▼a (OCoLC)1224020087 ▼z (OCoLC)1239983124 ▼z (OCoLC)1249693098
040 ▼a YDX ▼b eng ▼e rda ▼e pn ▼c YDX ▼d YDX ▼d UKOBU ▼d EBLCP ▼d OCLCF ▼d UKOUP ▼d N$T ▼d UKAHL ▼d IUL ▼d 248032
049 ▼a MAIN
050 4 ▼a Q183.9 ▼b .P48 2021
08204 ▼a 502.85
1001 ▼a Petchey, Owen L., ▼e author.
24510 ▼a Insights from data with R : ▼b an introduction for the life and environmental sciences / ▼c Owen L. Petchey, Andrew P. Beckerman, Natalie Cooper, Dylan Z. Childs. ▼h [electronic resource]
250 ▼a First edition.
260 ▼a Oxford : ▼b Oxford University Press, ▼c 2021.
300 ▼a 1 online resource : ▼b illustrations, charts
336 ▼a text ▼b txt ▼2 rdacontent
337 ▼a computer ▼b c ▼2 rdamedia
338 ▼a online resource ▼b cr ▼2 rdacarrier
504 ▼a Includes bibliographical references and index.
520 ▼a "Knowledge of how to get useful information from data is essential in the life and environmental sciences. This book provides learners with knowledge, experience, and confidence about how to efficiently and reliably discover useful information from data. The content is developed from first- and second-year undergraduate-level courses taught by the authors. It charts the journey from question, to raw data, to clean and tidy data, to visualizations that provide insights. This journey is presented as a repeatable workflow fit for use with many types of question, study, and data. Readers discover how to use R and RStudio, and learn key concepts for drawing appropriate conclusions from patterns in data. The book focuses on providing learners with a solid foundation of skills for working with data, and for getting useful information from data summaries and visualizations. It focuses on the strength of patterns (i.e. effect sizes) and their meaning (e.g. correlation or causation). It purposefully stays away from statistical tests and p-values. Concepts covered include distribution, sample, population, mean, median, mode, variance, standard deviation, correlation, interactions, and non-independence. The journey from data to insight is illustrated by one workflow demonstration in the book, and three online. Each involves data collected in a real study. Readers can follow along by downloading the data, and learning from the descriptions of each step in the journey from the raw data to visualizations that show the answers to the questions posed in the original studies"--Publisher's description.
588 ▼a Description based on online resource; title from PDF title page (Oxford Scholarship Online, viewed on June 30, 2021).
590 ▼a Master record variable field(s) change: 050, 650
650 0 ▼a Science ▼x Data processing.
650 0 ▼a R (Computer program language)
650 0 ▼a Mathematical statistics ▼x Data processing.
650 7 ▼a Mathematical statistics ▼x Data processing. ▼2 fast ▼0 (OCoLC)fst01012133
650 7 ▼a R (Computer program language) ▼2 fast ▼0 (OCoLC)fst01086207
655 0 ▼a Electronic books.
7001 ▼a Beckerman, Andrew P., ▼e author.
7001 ▼a Cooper, Natalie, ▼c (Life scientist), ▼e author.
7001 ▼a Childs, Dylan Z., ▼e author.
77608 ▼i Print version: ▼a Petchey, Owen L. ▼t Insights from data with R. ▼b First edition. ▼d Oxford ; New York, NY : Oxford University Press, 2021 ▼z 9780198849810 ▼w (OCoLC)1231017612
85640 ▼3 EBSCOhost ▼u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2756968
938 ▼a Askews and Holts Library Services ▼b ASKH ▼n AH38699769
938 ▼a Oxford University Press USA ▼b OUPR ▼n EDZ0002483378
938 ▼a YBP Library Services ▼b YANK ▼n 301950645
938 ▼a YBP Library Services ▼b YANK ▼n 17126790
938 ▼a ProQuest Ebook Central ▼b EBLB ▼n EBL6485004
938 ▼a EBSCOhost ▼b EBSC ▼n 2756968
990 ▼a 관리자
994 ▼a 92 ▼b N$T