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! "In short, I loved it. There is a death of good material (or any material, really) on this topic so I'm excited to say that 'Testing R Code' met my high expectations. I know the subject rather well but, not only did I see topics that were explained in new and easier ways than I have previously seen, but I even learned quite a bit of new information myself. It is obvious that the author knows this topic inside and out." -- Tony Fischetti, Rensselaer Polytechnic Institute, The traditional user of R software is a statistician or data analyst, not a computer programmer. So they do not have the necessary skills to control the quality of their code. This book covers run-time testing (assertions) and development-time testing (unit tests) of R-code, along with tips for writing easily maintainable and testable code. It is designed for intermediate to experienced users of R who need to take their code to the next level, and to test it works as they develop it. It features lots of practical examples to explain how the testing procedures work, and is supplemented by an R package with all code and data included.
Read ebook Richard James Cotton - Chapman and Hall/CRC the R: Testing R Code in MOBI, DOC, FB2
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