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▼a 1239983124
▼a 1249693098
▼a 9780191884351
▼q (electronic book)
▼a 0191884359
▼q (electronic book)
▼z 0198849818
▼q (hardback)
▼z 9780198849810
▼q (hardback)
▼z 9780198849827
▼q (paperback)
▼a 9780192589736
▼a 0192589733
▼a 2756968
▼b (N$T)
▼a (OCoLC)1224020087
▼z (OCoLC)1239983124
▼z (OCoLC)1249693098
▼a YDX
▼b eng
▼c YDX
▼d UKOBU
▼d OCLCF
▼d YDX
▼d 248023
▼d EBLCP
▼d N$T
▼d UKOUP
▼d UKAHL
▼d IUL
▼e pn
▼e rda
▼a MAIN
▼a Q183.9
▼b .P48 2021
▼a 502.85
▼a Petchey, Owen L.,
▼e author.
▼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.
▼a First edition.
▼a Oxford:
▼b Oxford University Press,
▼c 2021.
▼a 1 online resource:
▼b illustrations, charts.
▼a text
▼b txt
▼2 rdacontent
▼a computer
▼b c
▼2 rdamedia
▼a online resource
▼b cr
▼2 rdacarrier
▼a Includes bibliographical references and index.
▼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.
▼a Description based on online resource; title from PDF title page (Oxford Scholarship Online, viewed on June 30, 2021).
▼a Master record variable field(s) change: 050, 650
▼a Science
▼x Data processing.
▼a R (Computer program language)
▼a Mathematical statistics
▼x Data processing.
▼a Mathematical statistics
▼x Data processing.
▼2 fast
▼0 (OCoLC)fst01012133
▼a R (Computer program language)
▼2 fast
▼0 (OCoLC)fst01086207
▼a Electronic books.
▼a Beckerman, Andrew P.,
▼e author.
▼a Cooper, Natalie,
▼c (Life scientist),
▼e author.
▼a Childs, Dylan Z.,
▼e author.
▼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
▼a NA000000
▼b 00000140
▼3 EBSCOhost
▼u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2756968
▼a Askews and Holts Library Services
▼b ASKH
▼n AH38699769
▼a Oxford University Press USA
▼b OUPR
▼n EDZ0002483378
▼a YBP Library Services
▼b YANK
▼n 301950645
▼a YBP Library Services
▼b YANK
▼n 17126790
▼a ProQuest Ebook Central
▼b EBLB
▼n EBL6485004
▼a EBSCOhost
▼b EBSC
▼n 2756968
▼a 최영란
▼a eBook
▼a 92
▼b N$T
| 자료유형 : | eBook |
|---|---|
| ISBN : | 9780191884351 |
| ISBN : | 0191884359 |
| ISBN : | |
| ISBN : | |
| ISBN : | |
| ISBN : | 9780192589736 |
| ISBN : | 0192589733 |
| 개인저자 : | Petchey, Owen L., author. |
| 서명/저자사항 : | Insights from data with R: an introduction for the life and environmental sciences / Owen L. Petchey, Andrew P. Beckerman, Natalie Cooper, Dylan Z. Childs. |
| 판사항 : | First edition. |
| 발행사항 : | Oxford: Oxford University Press, 2021. |
| 형태사항 : | 1 online resource: illustrations, charts. |
| 서지주기 : | Includes bibliographical references and index. |
| 요약 : | "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. |
| 일반주제명 : | Science -- Data processing. -- |
| 일반주제명 : | R (Computer program language) -- |
| 일반주제명 : | Mathematical statistics -- Data processing. -- |
| 일반주제명 : | Mathematical statistics -- Data processing. -- |
| 일반주제명 : | R (Computer program language) -- |
| 개인저자 : | Beckerman, Andrew P., author. |
| 개인저자 : | Cooper, Natalie, (Life scientist), author. |
| 개인저자 : | Childs, Dylan Z., author. |
| 기타형태 저록 : | Print version: Petchey, Owen L. Insights from data with R. First edition. Oxford ; New York, NY : Oxford University Press, 2021, 9780198849810 |
| 언어 | 영어 |
| URL : |
|---|
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