A First Course in Statistical Programming with R统计程序R入门教程 mobi 下载 网盘 caj lrf pdf txt 阿里云

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.

Preface

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.

暂无相关内容，正在全力查找中

暂无出版社相关信息，正在全力查找中！

暂无相关书籍摘录，正在全力查找中！

在线阅读地址：A First Course in Statistical Programming with R统计程序R入门教程在线阅读

在线听书地址：A First Course in Statistical Programming with R统计程序R入门教程在线收听

在线购买地址：A First Course in Statistical Programming with R统计程序R入门教程在线购买

暂无原文赏析，正在全力查找中！

编辑推荐

作者介:W. John Braun

　　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).

书籍介绍

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.