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  1. A data scientist's guide to acquiring, cleaning, and managing data in R
    Published: [2018]
    Publisher:  Wiley, Hoboken, NJ

    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... more

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    Hochschule Aalen, Bibliothek
    eBook Wiley
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    Technische Universität Chemnitz, Universitätsbibliothek
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    Universität Konstanz, Kommunikations-, Informations-, Medienzentrum (KIM)
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    Bibliotheks-und Informationssystem der Carl von Ossietzky Universität Oldenburg (BIS)
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    Bibliotheks-und Informationssystem der Carl von Ossietzky Universität Oldenburg (BIS)
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    Duale Hochschule Baden-Württemberg Ravensburg, Bibliothek
    E-Book Wiley
    No inter-library loan
    Universitätsbibliothek Rostock
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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. --

     

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