R student companion / Brian Dennis.
By: Dennis, Brian.
Material type: TextPublisher: Boca Raton : CRC Press, c2013Description: xvii, 339 p. ; illustrations ; 24 cm.ISBN: 9781439875407 (pbk. : acidfree paper).Subject(s): R (Computer program language)  Probabilities  Mathematical statistics  Data processing  MATHEMATICS / General  MATHEMATICS / Probability & Statistics / GeneralDDC classification: 000SA.055Item type  Current location  Call number  Status  Date due  Barcode  Item holds  

Books 
ISI Library, Kolkata

000SA.055 D411 (Browse shelf)  Available  C26278 
"A Chapman & Hall book."
Includes bibliographical references and index.
1. Introduction : Getting started with R 
2. R scripts 
3. Functions 
4. Basic graphs 
5. Data input and output 
6. Loops 
7. Logic and control 
8. Quadratic functions 
9. Trigonometric functions 
10. Exponential and logarithmic functions 
11. Matrix arithmetic 
12. Systems of linear equations 
13. Advanced graphs 14. Probability and simulation 
15. Fitting models to data 
16. Conclusion: It doesn't take a rocket scientist 
Appendix A Installing R 
Appendix B: Getting help 
Appendix C: Common R expressions
Index.
"Preface. R is a computer package for scientific graphs and calculations. It is written and maintained by statisticians and scientists, for scientists to use in their work. It is easy to use, yet is extraordinarily powerful. R is spreading rapidly throughout the science and technology world, and it is setting the standards for graphical data displays in science publications. R is free. It is an opensource product that is easy to install on most computers. It is available for Windows, Mac, and Unix/Linux operating systems. One simply downloads and installs it from the R website (http:// www.rproject.org/). This book is for high school and college students, and anyone else, who wants to learn to use R. With this book, you can put your computer to work in powerful fashion, in any subject that uses applied mathematics. In particular, physics, life sciences, chemistry, earth science, economics, engineering, and business involve much analysis, modeling, simulation, statistics, and graphing. These quantitative applications become remarkably straightforward and understandable when performed with R. Difficult concepts in mathematics and statistics become clear when illustrated with R. The book starts from the beginning and assumes the reader has no computer programming background. The mathematical material in the book requires only a moderate amount of high school algebra. R makes graphing calculators seem awkward and obsolete. The calculators are hard to learn, cumbersome to use for anything but tiny problems, and the graphs are small and have poor resolution. Calculating in R by comparison is intuitive, even fun. Fantastic, publicationquality graphs of data, equations, or both can be produced with little effort"
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