# A first course in statistical programming with R

##### By: Braun, John

##### Contributor(s): Murdoch, Duncan James

Material type: TextPublisher: Cambridge Cambridge University Press 2016Edition: 2nd edDescription: xiv, 215 p.ISBN: 9781107576469Subject(s): Computer program language | Statistics | Data processingDDC classification: 519.502855133 Summary: 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 needed 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. Self-contained and accessible to anyone familiar with university-level calculus The basics of R syntax and statistical graphics are explained with real R code Programming ideas, including good, efficient style and debugging, are introduced Applications in simulation and optimization as well as numerical linear algebra are discussed. http://admin.cambridge.org/hu/academic/subjects/statistics-probability/computational-statistics-machine-learning-and-information-sc/first-course-statistical-programming-r-2nd-edition?format=PBItem type | Current location | Collection | Call number | Status | Date due | Barcode |
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Books | Vikram Sarabhai Library General Stacks | Non-fiction | 519.502855133 B7F4-2016 (Browse shelf) | Checked out | 22/06/2021 | 193325 |

Table of Contents

1. Getting started

2. Introduction to the R language

3. Programming statistical graphics

4. Programming with R

5. Simulation

6. Computational linear algebra

7. Numerical optimization

Appendix. Review of random variables and distributions

Index.

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 needed 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.

Self-contained and accessible to anyone familiar with university-level calculus

The basics of R syntax and statistical graphics are explained with real R code

Programming ideas, including good, efficient style and debugging, are introduced

Applications in simulation and optimization as well as numerical linear algebra are discussed.

http://admin.cambridge.org/hu/academic/subjects/statistics-probability/computational-statistics-machine-learning-and-information-sc/first-course-statistical-programming-r-2nd-edition?format=PB

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