1. 首页
  2. 编程语言
  3. 其他
  4. Testing.R.Code.1498763650.pdf

Testing.R.Code.1498763650.pdf

上传者: 2019-04-06 06:54:12上传 PDF文件 3.11MB 热度 28次
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 gener ate 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 ate 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
用户评论