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!
Table of Contents
Chapter 1. Introduction
Chapter 2. Run-Time Testing with
Chapter 3. Development-Time Testing with testthat
Chapter 4. Easily Maintainable & Testable Code
Chapter 5. Integrating Testing into Packages
Chapter 6. Advanced Development-Time Testing
Chapter 7. Own Assertions & Expectations
