Statistical Programming in R/
By K.G. Srinivasa et.al.
- 1st Ed.
- New Delhi: Oxford University Press, 2017.
- 251p;, xii, 23cm.
Contents: 1. Basics of R. 2. Factors and Data Frames. 3. Lists. 4. Conditionals and Control Flow. 5. Iterative Programming in R. 6. Functions in R. 7. Apply Family in R. 8. Charts and Graphs. 9. Data Interfaces. 10. Statistical Applications. Bibliography. Index.