R student companion / Brian Dennis.
Material type:
TextPublication details: Boca Raton : CRC Press, c2013.Description: xvii, 339 p. ; illustrations ; 24 cmISBN: - 9781439875407 (pbk. : acidfree paper)
- 000SA.055 23 D411
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 000SA.055 D411 (Browse shelf(Opens below)) | Available | C26278 |
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| 000SA.055 C512 Computational statistics in the earth sciences : | 000SA.055 C911 Statistics : an introduction using R / | 000SA.055 C911 Statistics : an introduction using R / | 000SA.055 D411 R student companion / | 000SA.055 Ef27 Computer age statistical inference : | 000SA.055 F463 Basics of matrix algebra for statistics with R / | 000SA.055 G618 Survey of statistical network models / |
"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 open-source 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.r-project.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, publication-quality graphs of data, equations, or both can be produced with little effort"--
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