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
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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.
Intermediate level
Some related experience required
2 weeks to complete
at 10 hours a week
Flexible schedule
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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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