Building R Packages

Coursera MOOC / Non-credit USD 49

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About this course

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.

What you'll learn

Develop R packages following community-based standards and best practices
Write comprehensive documentation and vignettes for R packages
Implement robust software testing and quality assurance practices
Configure cross-platform development for R packages
Use continuous integration tools in R package development
Prepare and submit R packages to CRAN
Distribute R packages via GitHub

Course objectives

Maximize the usefulness and reusability of data science software through proper organization
Create R packages that adhere to community standards and provide good user experience
Produce R packages that satisfy CRAN submission criteria