Testing R Code, Hardback Book

Description

Learn how to write R code with fewer bugs. The problem with programming is that you are always one typo away from writing something silly.

Likewise with data analysis, a small mistake in your model can lead to a big mistake in your results.

Combining the two disciplines means that it is all too easy for a missed minus sign to generate a false prediction that you don't spot until it's too late.

Testing is the only way to be sure that your code, and your results, are correct. Testing R Code teaches you how to perform development-time testing using the testthat package, allowing you to ensure that your code works as intended.

The book also teaches run-time testing using the assertive package; enabling your users to correctly run your code. After beginning with an introduction to testing in R, the book explores more advanced cases such as integrating tests into R packages; testing code that accesses databases; testing C++ code with Rcpp; and testing graphics.

Each topic is explained with real-world examples, and has accompanying exercises for readers to practise their skills - only a small amount of experience with R is needed to get started!

Information

  • Format: Hardback
  • Pages: 178 pages, 10 Illustrations, black and white
  • Publisher: Taylor & Francis Inc
  • Publication Date:
  • Category: Mathematical & statistical software
  • ISBN: 9781498763653

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