An introduction to R : notes on R: a programming environment for data analysis and graphics, version 1.9.1
Author(s)
Bibliographic Information
An introduction to R : notes on R: a programming environment for data analysis and graphics, version 1.9.1
Network Theory, 2005
[3rd printing, minor corrections]
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Note
"Revised and updated"--Cover
Includes bibliographical references and index
Description and Table of Contents
Description
This manual provides an introduction to "R", a software package for statistical computing and graphics. R is free software, distributed under the GNU General Public License. It can be used with GNU/Linux, Unix and Microsoft Windows.
Table of Contents
1. Preface 2. Introduction and preliminaries 3. Simple manipulations numbers and vectors 4. Objects 5. Factors 6. Arrays and matrices 7. Lists and data frames 8. Reading data from files 9. Probability distributions 10. Loops and conditional execution 11. Writing your own functions 12. Statistical models in R 13. Graphics 14. A sample session 15. Invoking R 16. The command line editor 17. Function and variable index 18. Concept index 19. References
by "Nielsen BookData"
