Testing R Code

By Debbie Troklus, Sheryl Vacca, Greg Warner

Book Overview

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 packa= 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! This description may be from another edition of this product.

• Format: Hardcover
• Language: English
• ISBN: 1498763650
• ISBN13: 9781498763653
• Release Date: January 2017
• Publisher: CRC Press
• Length: 196 Pages
• Weight: 0.95 lbs.
• Dimensions: 0.6" x 6.2" x 9.3"