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A First Course in Statistical Programming with R Vital Source e-bog
W. John Braun og Duncan J. Murdoch
(2021)
Cambridge University Press
382,00 kr.
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A First Course in Statistical Programming with R
W. John Braun og Duncan J. Murdoch
(2021)
Sprog: Engelsk
Cambridge University Press
487,00 kr.
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Detaljer om varen
- 3. Udgave
- Vital Source searchable e-book (Fixed pages)
- Udgiver: Cambridge University Press (Maj 2021)
- Forfattere: W. John Braun og Duncan J. Murdoch
- ISBN: 9781108999410
This third edition of Braun and Murdoch's bestselling textbook now includes discussion of the use and design principles of the tidyverse packages in R, including expanded coverage of ggplot2, and R Markdown. The expanded simulation chapter introduces the Box–Muller and Metropolis–Hastings algorithms. New examples and exercises have been added throughout. This is the only introduction you'll need to start programming in R, the computing standard for analyzing data. This book comes with real R code that teaches the standards of the language. Unlike other introductory books on the R system, this book emphasizes portable programming skills that apply to most computing languages and techniques used to develop more complex projects. Solutions, datasets, and any errata are available from www.statprogr.science. Worked examples - from real applications - hundreds of exercises, and downloadable code, datasets, and solutions make a complete package for anyone working in or learning practical data science.
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Bookshelf online: 5 år fra købsdato.
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Print: -1 sider kan printes ad gangen
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Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: -1 sider kan printes ad gangen
Copy: højest -1 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- 3. Udgave
- Paperback: 280 sider
- Udgiver: Cambridge University Press (Maj 2021)
- Forfattere: W. John Braun og Duncan J. Murdoch
- ISBN: 9781108995146
This third edition of Braun and Murdoch's bestselling textbook now includes discussion of the use and design principles of the tidyverse packages in R, including expanded coverage of ggplot2, and R Markdown. The expanded simulation chapter introduces the Box-Muller and Metropolis-Hastings algorithms. New examples and exercises have been added throughout. This is the only introduction you'll need to start programming in R, the computing standard for analyzing data. This book comes with real R code that teaches the standards of the language. Unlike other introductory books on the R system, this book emphasizes portable programming skills that apply to most computing languages and techniques used to develop more complex projects. Solutions, datasets, and any errata are available from www.statprogr.science. Worked examples - from real applications - hundreds of exercises, and downloadable code, datasets, and solutions make a complete package for anyone working in or learning practical data science.
1. Getting Started;
2. Introduction to the R Language;
3. Programming Statistical Graphics;
4. Programming with R;
5. Complex Programming in the Tidyverse;
6. Simulation;
7. Computational Linear Algebra;
8. Numerical Optimization; A. Review of Random Variables and Distributions; B. Base Graphics Details; Index.
2. Introduction to the R Language;
3. Programming Statistical Graphics;
4. Programming with R;
5. Complex Programming in the Tidyverse;
6. Simulation;
7. Computational Linear Algebra;
8. Numerical Optimization; A. Review of Random Variables and Distributions; B. Base Graphics Details; Index.
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