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Published by Chapman and Hall/CRC, 2017
ISBN 10: 1498763650 ISBN 13: 9781498763653
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Published by Chapman and Hall/CRC, 2017
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Published by Chapman and Hall/CRC, 2017
ISBN 10: 1498763650 ISBN 13: 9781498763653
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367782375 ISBN 13: 9780367782375
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367782375 ISBN 13: 9780367782375
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Published by Chapman and Hall/CRC, 2017
ISBN 10: 1498763650 ISBN 13: 9781498763653
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Published by Chapman and Hall/CRC, 2017
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Published by Chapman and Hall/CRC, 2017
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Published by Chapman and Hall/CRC, 2021
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Published by Chapman and Hall/CRC, 2017
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Published by Chapman and Hall/CRC, 2021
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Gebunden. Condition: New. Richard CottonLearn 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 .
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Published by Taylor & Francis Jan 2017, 2017
ISBN 10: 1498763650 ISBN 13: 9781498763653
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Richard CottonLearn 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 l.
Language: English
Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367782375 ISBN 13: 9780367782375
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Taschenbuch. Condition: Neu. Testing R Code | Richard Cotton | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2021 | Chapman and Hall/CRC | EAN 9780367782375 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Language: English
Published by Chapman And Hall/CRC, 2021
ISBN 10: 0367782375 ISBN 13: 9780367782375
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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!