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R für Data Science
book

R für Data Science

by Garrett Grolemund, Hadley Wickham
November 2017
Intermediate to advanced
502 pages
11h 21m
German
dpunkt
Content preview from R für Data Science

KAPITEL 17

Iteration mit purrr

Einführung

Kapitel 15 hat erörtert, wie wichtig es ist, doppelten Code zu vermeiden, indem man Funktionen erstellt, anstatt den Code per Kopieren-und-Einfügen zu wiederholen. Doppelten Code zu verringern, bringt drei Vorteile:

  • Die Absicht des Codes ist besser zu erfassen, weil der Blick darauf gelenkt wird, was anders ist, und nicht darauf, was gleich bleibt.
  • Auf geänderte Anforderungen können Sie leichter reagieren. Wenn sich Ihre Anforderungen ändern, müssen Sie den Code nur an einer Stelle ändern und nicht überall dort, wo Sie Code per Kopieren-und-Einfügen dupliziert haben.
  • Höchstwahrscheinlich ist die Fehlerquote geringer, weil jede Codezeile an mehreren Stellen verwendet wird.

Duplizierung lässt sich unter ...

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Publisher Resources

ISBN: 9781492065432