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R: Data Analysis and Visualization by Ágnes Vidovics-Dancs, Kata Váradi, Tamás Vadász, Ágnes Tuza, Balázs Árpád Szucs, Julia Molnár, Péter Medvegyev, Balázs Márkus, István Margitai, Péter Juhász, Dániel Havran, Gergely Gabler, Barbara Dömötör, Gergely Daróczi, Ádám Banai, Milán Badics, Ferenc Illés, Edina Berlinger, Bater Makhabel, Hrishi V. Mittal, Jaynal Abedin, Brett Lantz, Tony Fischetti

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Chapter 13. Reproducibility and Best Practices

At the close of some programming texts, the user, now knowing the intricacies of the subject of the text, is nevertheless bewildered on how to actually get started with some serious programming. Very often, discussion of the tooling, environment, and the like—the things that inveterate programmers of language x take for granted—are left for the reader to figure out on their own.

Take R, for example—when you click on the R icon on your system, a rather Spartan window with a text-based interface appears imploring you to enter commands interactively. Are you to program R in this manner? By typing commands one-at-a-time into this window? This was, more or less, permissible up until this point in the book, ...

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