108,69 €
Testing R Code
Testing R Code
  • Išparduota
Testing R Code
Testing R Code
El. knyga:
108,69 €
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 teache…

Testing R Code (el. knyga) (skaityta knyga) | Richard Cotton | knygos.lt

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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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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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