Writing good code for data science is only part of the job. In order to maximizing the usefulness and reusability of data science software, code must be organized and distributed in a manner that adheres to community-based standards and provides a good user experience. This course covers the primary means by which R software is organized and distributed to others. We cover R package development, writing good documentation and vignettes, writing robust software, cross-platform development, continuous integration tools, and distributing packages via CRAN and GitHub. Learners will produce R packages that satisfy the criteria for submission to CRAN.
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- 5 stars52.05%
- 4 stars23.74%
- 3 stars13.69%
- 2 stars3.65%
- 1 star6.84%
BUILDING R PACKAGES의 최상위 리뷰
This is a critical skill and it's barely covered anywhere else. Thanks for making this course!
Overall, this was a good course to learn the intricacies of building R packages.
Very good course for intermediate/advanced R users. Sad that you are elegible to do assignments only if you pay.
Good slow walk through of the process for creating and checking a package
Mastering Software Development in R 특화 과정 정보
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