A first course in statistical programming with R
This new, color edition of Braun and Murdoch's bestselling textbook integrates use of the RStudio platform and adds discussion of newer graphics systems, extensive exploration of Markov chain Monte Carlo, expert advice on common error messages, motivating applications of matrix decompositions,...
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| Format: | E-Book |
| Sprache: | English |
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New York
Cambridge University Press
2016
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| Ausgabe: | Second edition. |
| Online-Zugang: | Volltext |
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| 100 | 1 | |a Braun, John |d 1963- | |
| 245 | 1 | 2 | |a A first course in statistical programming with R |c W. John Braun and Duncan J. Murdoch |
| 250 | |a Second edition. | ||
| 264 | 1 | |a New York |b Cambridge University Press |c 2016 | |
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| 520 | |a This new, color edition of Braun and Murdoch's bestselling textbook integrates use of the RStudio platform and adds discussion of newer graphics systems, extensive exploration of Markov chain Monte Carlo, expert advice on common error messages, motivating applications of matrix decompositions, and numerous new examples and exercises. This is the only introduction you'll need to start programming in R, the computing standard for analyzing data. Co-written by an R Core Team member and an established R author, this book comes with real R code that complies with the standards of the language. Unlike other introductory books on the R system, this book emphasizes programming, including the principles that apply to most computing languages, and techniques used to develop more complex projects. Solutions, datasets, and any errata are available from the book's website. The many examples, all from real applications, make it particularly useful for anyone working in practical data analysis. | ||
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| spelling | Braun, John 1963- A first course in statistical programming with R W. John Braun and Duncan J. Murdoch Second edition. New York Cambridge University Press 2016 1 Online-Ressource (xiv, 215 Seiten) txt c cr This new, color edition of Braun and Murdoch's bestselling textbook integrates use of the RStudio platform and adds discussion of newer graphics systems, extensive exploration of Markov chain Monte Carlo, expert advice on common error messages, motivating applications of matrix decompositions, and numerous new examples and exercises. This is the only introduction you'll need to start programming in R, the computing standard for analyzing data. Co-written by an R Core Team member and an established R author, this book comes with real R code that complies with the standards of the language. Unlike other introductory books on the R system, this book emphasizes programming, including the principles that apply to most computing languages, and techniques used to develop more complex projects. Solutions, datasets, and any errata are available from the book's website. The many examples, all from real applications, make it particularly useful for anyone working in practical data analysis. Murdoch, Duncan James 1959- Erscheint auch als Druck-Ausgabe 9781107576469 TUM01 ZDB-20-CTM TUM_PDA_CTM https://doi.org/10.1017/CBO9781316451090 Volltext |
| spellingShingle | Braun, John 1963- A first course in statistical programming with R |
| title | A first course in statistical programming with R |
| title_auth | A first course in statistical programming with R |
| title_exact_search | A first course in statistical programming with R |
| title_full | A first course in statistical programming with R W. John Braun and Duncan J. Murdoch |
| title_fullStr | A first course in statistical programming with R W. John Braun and Duncan J. Murdoch |
| title_full_unstemmed | A first course in statistical programming with R W. John Braun and Duncan J. Murdoch |
| title_short | A first course in statistical programming with R |
| title_sort | first course in statistical programming with r |
| url | https://doi.org/10.1017/CBO9781316451090 |
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