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Testing R Code
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kr 191
Testing R Code

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!

 

Produktdetaljer
Sprog: Engelsk
Sider: 196
ISBN-13: 9781498763653
Indbinding: Hardback
Udgave:
ISBN-10: 1498763650
Udg. Dato: 19 jan 2017
Længde: 16mm
Bredde: 243mm
Højde: 161mm
Oplagsdato: 19 jan 2017
Forfatter(e) Richard (DataCamp Cotton, Richard Cotton


Kategori Matematik- & statistikprogrammer


Sprog Engelsk


Indbinding Hardback


Sider 196


Udgave


Længde 16mm


Bredde 243mm


Højde 161mm

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