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...
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Universitätsbibliothek der Eberhard Karls Universität
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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. 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. --