A data scientist's guide to acquiring, cleaning and managing data in R / by Samuel Buttrey, Naval Postgraduate School, California, United States, Lyn R. Whitaker, Naval Postgraduate School, California, United States
1. R -- 2. R data, part 1: vectors -- 3. R data, part 2: more complicated structures -- 4. R data, part 3: text and factors -- 5. Writing functions and scripts -- 6. Getting data into and out of R -- 7. Data handling in practice -- 8. Extended exercise -- A. Hints and pseudocode -- Bibliography -- Index
Summary
Providing both introductory and advanced techniques, this single-source guide to R data and its preparation, offers a unified, systematic approach to acquiring, modeling, manipulating, cleaning, and maintaining data in R. -- Edited summary from book
