Debugging Strategy for R

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Learning Objectives
1. Anatomy of an error message
2. Five steps to debugging
3. Know what various error messages mean
  1. Quant Psych
  2. Statistics
  3. Psychology
  4. NHST
  5. Null Hypothesis Significance Testing
  6. Philosophy of Science
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Комментарии
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You linked to data in the description! Awesome!

galenseilis
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Profiling and unit testing are also valuable, and I strongly recommend using a debugger. Sometimes lint programs can pick up on bugs. I would not expect this of students trying to learn how to use functions and objects from developed R packages, such as lm. Rather it is advice for those that are starting to implement non-trivial math or logic themselves, which could be in a collection of scripts or could be an entire package.

galenseilis
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What is your Name/Contact Information? I am teaching Research Methods and am linking some of your content in my course shell. Trying to attribute these/credit to meet OER guidelines. I also have a few questions. Thanks!

bryancone