Speed_up_in_r_programming#52
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ybliu9
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chap 6: other topics
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If the "other topics" chapter is too unwieldy, this might make sense to include under "data processing" |
lubin-liu
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Nov 20, 2020
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Nov 20, 2020
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I believe the lines I marked are typos, if not please let me know.
Owner
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It's fine. We need to update the instructions since honestly the branch name should be descriptive but it doesn't need to match any of the filenames. |
Collaborator
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Your project has been merged. Thanks for your contribution! ㊗️ 🎉 |
Owner
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Published chapter: https://jtr13.github.io/cc20/speed-up-in-r-programming.html 🙌 |
Owner
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Great chapter, just one small issue left with the chapter writing files. Please see: #95 |
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Our community contribution introduces a few ways that we could yield the maximum efficiency when running R. We will first cover the typical development cycle computational statistics with R and what is some of R’s performance characteristics, to help you understand how R codes are being executed. Then we will show you two relatively easy ways to speed up code using the Rcpp package and parallel processing.