Testing R Code Hardback
Part of the Chapman & Hall/CRC: The R Series series
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!
- Format: Hardback
- Pages: 178 pages, 10 Illustrations, black and white
- Publisher: Taylor & Francis Inc
- Publication Date: 19/01/2017
- Category: Mathematical & statistical software
- ISBN: 9781498763653