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.
- 5 stars52.05%
- 4 stars23.74%
- 3 stars13.69%
- 2 stars3.65%
- 1 star6.84%
來自BUILDING R PACKAGES的熱門評論
The course delivered the basic goals of creating a package for the first time in R!
Useful programming exercises to guide learning the basic elements of R packages. Also glad that I got my assignments graded within a week following submission (thought it would take much longer).
Good slow walk through of the process for creating and checking a package
Amazing course! Will explain every detail regarding R package creation.