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Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist
book

Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist

by Thomas Mailund
March 2017
Beginner
352 pages
10h 24m
English
Apress
Content preview from Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist

© Thomas Mailund 2017

Thomas Mailund, Beginning Data Science in R, 10.1007/978-1-4842-2671-1_12

12. Testing and Package Checking

Thomas Mailund

(1)Aarhus, Denmark

Without testing, there is little guarantee that your code will work at all. You probably test your code when you write it by calling your functions with a couple of chosen parameters, but to build robust software you need to approach testing more rigorously. And to prevent bugs from creeping into your code over time, you should test often. Ideally, you should check all your code anytime you make any changes to it.

There are different ways of testing software —software testing is almost a science in itself—but the kind of testing we do when we want to make sure that the code we just wrote ...

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Publisher Resources

ISBN: 9781484226711Purchase book