A practical guide to data analysis using R: an example-based approach
Using diverse real-world examples, this text examines what models used for data analysis mean in a specific research context. What assumptions underlie analyses, and how can you check them? Building on the successful 'Data Analysis and Graphics Using R,' 3rd edition (Cambridge, 2010), it e...
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| Hauptverfasser: | , , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2024
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| Schlagworte: | |
| Online-Zugang: | DE-12 DE-634 DE-92 Volltext |
| Zusammenfassung: | Using diverse real-world examples, this text examines what models used for data analysis mean in a specific research context. What assumptions underlie analyses, and how can you check them? Building on the successful 'Data Analysis and Graphics Using R,' 3rd edition (Cambridge, 2010), it expands upon topics including cluster analysis, exponential time series, matching, seasonality, and resampling approaches. An extended look at p-values leads to an exploration of replicability issues and of contexts where numerous p-values exist, including gene expression. Developing practical intuition, this book assists scientists in the analysis of their own data, and familiarizes students in statistical theory with practical data analysis. The worked examples and accompanying commentary teach readers to recognize when a method works and, more importantly, when it doesn't. Each chapter contains copious exercises. Selected solutions, notes, slides, and R code are available online, with extensive references pointing to detailed guides to R. |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 10 May 2024) |
| Beschreibung: | 1 Online-Ressource (xxiii, 526 Seiten) |
| ISBN: | 9781009282284 |
| DOI: | 10.1017/9781009282284 |
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| spelling | Maindonald, John H. 1937- (DE-588)141432918 aut A practical guide to data analysis using R an example-based approach John H. Maindonald, W. John Braun, Jeffrey L. Andrews Cambridge Cambridge University Press 2024 1 Online-Ressource (xxiii, 526 Seiten) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 10 May 2024) Using diverse real-world examples, this text examines what models used for data analysis mean in a specific research context. What assumptions underlie analyses, and how can you check them? Building on the successful 'Data Analysis and Graphics Using R,' 3rd edition (Cambridge, 2010), it expands upon topics including cluster analysis, exponential time series, matching, seasonality, and resampling approaches. An extended look at p-values leads to an exploration of replicability issues and of contexts where numerous p-values exist, including gene expression. Developing practical intuition, this book assists scientists in the analysis of their own data, and familiarizes students in statistical theory with practical data analysis. The worked examples and accompanying commentary teach readers to recognize when a method works and, more importantly, when it doesn't. Each chapter contains copious exercises. Selected solutions, notes, slides, and R code are available online, with extensive references pointing to detailed guides to R. Statistics / Data processing Statistics / Graphic methods / Data processing R (Computer program language) Braun, W. John 1963- (DE-588)13396440X aut Andrews, Jeffrey L. aut Erscheint auch als Druck-Ausgabe 9781009282277 https://doi.org/10.1017/9781009282284?locatt=mode:legacy Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Maindonald, John H. 1937- Braun, W. John 1963- Andrews, Jeffrey L. A practical guide to data analysis using R an example-based approach Statistics / Data processing Statistics / Graphic methods / Data processing R (Computer program language) |
| title | A practical guide to data analysis using R an example-based approach |
| title_auth | A practical guide to data analysis using R an example-based approach |
| title_exact_search | A practical guide to data analysis using R an example-based approach |
| title_full | A practical guide to data analysis using R an example-based approach John H. Maindonald, W. John Braun, Jeffrey L. Andrews |
| title_fullStr | A practical guide to data analysis using R an example-based approach John H. Maindonald, W. John Braun, Jeffrey L. Andrews |
| title_full_unstemmed | A practical guide to data analysis using R an example-based approach John H. Maindonald, W. John Braun, Jeffrey L. Andrews |
| title_short | A practical guide to data analysis using R |
| title_sort | a practical guide to data analysis using r an example based approach |
| title_sub | an example-based approach |
| topic | Statistics / Data processing Statistics / Graphic methods / Data processing R (Computer program language) |
| topic_facet | Statistics / Data processing Statistics / Graphic methods / Data processing R (Computer program language) |
| url | https://doi.org/10.1017/9781009282284?locatt=mode:legacy |
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