Testing R Code
eBook - PDF

Testing R Code

  1. 178 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Testing R Code

About this book

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!

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Yes, you can access Testing R Code by Richard Cotton in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. Preface
  7. 1: Introduction
  8. 2: Run-Time Testing with assertive
  9. 3: Development-Time Testing with testthat
  10. 4: Writing Easily Maintainable and Testable Code
  11. 5: Integrating Testing into Packages
  12. 6: Advanced Development-Time Testing
  13. 7: Writing Your Own Assertions and Expectations
  14. A: Answers to Exercises
  15. Bibliography
  16. Concept Index
  17. Package Index
  18. Dataset Index
  19. People Index
  20. Function Index