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First Course in Statistical Programming with R [Kietas viršelis]

3.31/5 (33 ratings by Goodreads)
(University of Western Ontario), (University of Western Ontario)
  • Formatas: Hardback, 174 pages, aukštis x plotis x storis: 254x195x16 mm, weight: 550 g, Worked examples or Exercises; 39 Line drawings, unspecified
  • Išleidimo metai: 13-Dec-2007
  • Leidėjas: Cambridge University Press
  • ISBN-10: 0521872650
  • ISBN-13: 9780521872652
Kitos knygos pagal šią temą:
First Course in Statistical Programming with RDidesnis paveikslėlis
  • Formatas: Hardback, 174 pages, aukštis x plotis x storis: 254x195x16 mm, weight: 550 g, Worked examples or Exercises; 39 Line drawings, unspecified
  • Išleidimo metai: 13-Dec-2007
  • Leidėjas: Cambridge University Press
  • ISBN-10: 0521872650
  • ISBN-13: 9780521872652
Kitos knygos pagal šią temą:
Pastovi nuoroda: https://www.kriso.lt/db/9780521872652.html
Raktažodžiai:
This is the only introduction you'll need to start programming in R, the open-source language that is free to download and lets you adapt the source code for your own requirements. Co-written by one of the R Core Development Team, and by an established R author, this book comes with real R code that complies with the standards of the language.

The only introduction you'll need to start programming in R.

This is the only introduction you'll need to start programming in R, the open-source language that is free to download, and lets you adapt the source code for your own requirements. Co-written by one of the R Core Development Team, and by 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 ground-breaking R system, this book emphasizes programming, including the principles that apply to most computing languages, and techniques used to develop more complex projects. Learning the language is made easier by the frequent exercises and end-of-chapter reviews that help you progress confidently through the book. Solutions, datasets and any errata will be available from the book's web site. The many examples, all from real applications, make it particularly useful for anyone working in practical data analysis.

Recenzijos

' with this book, you can be up and running, doing very advanced work with R in a matter of minutes. Using a series of code examples, the authors take you through many of the basic capabilities of the package. All that is needed to follow the examples is a basic understanding of control constructs such as the if-then, loops and functions as well as knowledge of the underlying mathematics.' Charles Ashbacher, Journal of Recreational Mathematics

Daugiau informacijos

The only introduction you'll need to start programming in R.
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.
W. John Braun is an Associate Professor in the Department of Statistical and Actuarial Sciences at the University of Western Ontario. He is also a co-author, with John Maindonald, of Data Analysis and Graphics Using R, 2nd edition (Cambridge University Press, 2007). Duncan J. Murdoch is an Associate Professor in the Department of Statistical and Actuarial Sciences at the University of Western Ontario. He is a member of the R Development Core Team and was columnist and column editor of the statistical computing column of Chance 1999-2000.