Introduction to scientific programming and simulation using R /
xxiv, 582 p. : illustrations ; 24 cm. - (Chapman & Hall/CRC the R series ) Includes index. Content notes : 1. Setting up--
2. R as a calculating environment--
3. Basic programming--
4. I/O: Input and output--
5. Programming with functions--
6. Sophisticated data structures--
7. Better graphics--
8. Pointers to further programming techniques--
9. Numerical accuracy and program efficiency--
10. Root-finding--
11. Numerical integration--
12. Opetimisation--
13. Systems of ordinary differential equations--
14. Probability--
15. Random variables--
16. Discrete random variables--
17. Continuous random variables--
18. Parameter estimation--
19. Markov chains--
20. Simulation--
21. Monte Carlo integration--
22. Variance reduction--
23. Case studies--
24. Student projects--
Glossary of R commands--
Programs and functions developed in the text--
Index. Science - Computer simulation. Stochastic processes - Mathematical models. Numerical analysis - Data processing. Computer programming. Robinson, Andrew.