ISBN: 9781498763660

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 y… Más…

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! Chapman and Hall/CRC Computer Science General 9781498763653, 9781498763653 DE,GB,US,ES,IT,FR,MX English Computer Science, CRC Press<

ISBN: 9781498763660

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 y… Más…

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!; PDF; Scientific, Technical and Medical > Mathematics > Probability & statistics, CRC Press<

2017, ISBN: 9781498763660

eBooks, eBook Download (PDF), 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 … Más…

eBooks, eBook Download (PDF), 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!, [PU: CRC Press], Seiten: 178, CRC Press, 2017<

ISBN: 9781498763660

Computer Science Chapman and Hall/CRC Computer Science General 9781498763653, 9781498763653 DE,GB,US English, CRC Press