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.
Building R Packages
Building R Packages
This course is part of Mastering Software Development in R Specialization
Instructors: Roger D. Peng, PhD
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Gain insight into a topic and learn the fundamentals.
223 reviews
Intermediate level
Some related experience required
Flexible schedule
2 weeks at 10 hours a week
Learn at your own pace
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Taught in English
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This course is part of the Mastering Software Development in R Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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Showing 3 of 223
AS
Reviewed on Jul 13, 2018
Amazing course! Will explain every detail regarding R package creation.
JM
Reviewed on Feb 7, 2018
Good slow walk through of the process for creating and checking a package
GP
Reviewed on Mar 12, 2022
The course delivered the basic goals of creating a package for the first time in R!
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