Data analysis using R/
Seema Acharya
- New Delhi: McGraw Hill Education, 2019.
- xxiii, 555 p. ; 24 cm.
1. Introduction to R 2. Getting started with R 3. Loading and handling data in R 4. Exploring data in R 5. Linear regression using R 6. Logistic regression 7. Decision tree 8. Time series in R 9. Clustering 10. Association rules 11. Text mining 12. Parallel computing with R