A First Course in Statistical Programming with R

Description

Review
"While it is rare to see in a book, denseness does not have to be difficult and this book is an example of that. The authors are terse and effective as they clearly demonstrate how to use the R package. If you lack the budget for the purchase of a commercial computational mathematics package, then R with this textbook provides a very low cost alternative for many classes."
Charles Ashbacher, Journal of Recreational Mathematics

Description
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.













Posted By: NSL123 | Date: 24 Jun 2009 11:23 | Comments: 0 | Status: Active

Disclaimer:
Contents of this page are indexed from the Internet. All actions are under your responsability. Email us to report illegal contents or external links and we'll remove them immediately.

Please check the description for download links if any or do a search to find alternative books.

Can't Download?
Please search mirrors if you can't find download links for "A First Course in Statistical Programming with R" in "Description" and someone else may update the links. Check the comments when back to find any updates.

Search Mirrors
Maybe some mirror pages will be helpful, search this book at top of this page or click here to find more info.

1. Ebooks list page : 3056
2. A First Course in Statistical Programming with R
3. An Inductive Logic Programming Approach to Statistical Relational Learning
4. An Inductive Logic Programming Approach to Statistical Relational Learning
5. An Inductive Logic Programming Approach to Statistical Relational Learning (Frontiers in Artificial Intelligence and Applications, Vol. 148)
6. Statistical Analysis of Stochastic Processes in Time (Cambridge Series in Statistical and Probabilistic Mathematics)
7. [share_ebook] Statistical Physics I (Equilibrium statistical mechanics)
8. [request_ebook] A First Course in Statistical Programming with R
9. Statistical Physics I: Equilibrium Statistical Mechanics
10. Operator Algebras and Quantum Statistical Mechanics 2: Equilibrium States. Models in Quantum Statistical Mechanics (Repost)
11. Statistical Physics
12. Statistical Physics
13. Statistical Mechanics
14. Statistical Physics
15. Statistical Misconceptions
16. Statistical Mechanics