R For Programmers /
Karter Tate, Morgan Holland.
- xix, 333 pages : illustrations ; 26 cm.
1. Introduction to R Programming 2. R Flow Control 3. R Functions 4. R Data Structures 5. Doing Math and Simulations in R. 6. R Classes and Objects 7. Input/Output 8. String Manipulation 9. Debugging 10. R Data Interfaces 11. R Charts and Graphs 12. R Statistics Examples 13.Bayesian Network 14. Data Manipulation 15. Contingency Tables in R 16. Graphical Data Analysis and Models 17. Clustering and Classification 18. Testing and Performance Tuning
The book builds up the fundamental aptitudes to deliver quality code that can be utilized as a part of an assortment of conditions. You will learn the basics of R, including standard information sorts and capacities. Utilitarian programming as a valuable system for taking care of wide classes of issues. The positives and negatives of meta programming; instructions to compose quick, memory-productive code. This book not just enables current R clients to wind up R developers yet in addition indicates existing software engineers what's exceptional about R.
College of Engineering and Computer Studies Bachelor of Science in Information Technology