Testing R Code | Statistics
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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; enab…
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