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Building R Packages

Offered By: Johns Hopkins University via Coursera

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Data Science Courses R Programming Courses GitHub Courses Software Testing Courses Version Control Courses Software Design Courses Continuous Integration Courses Cross-Platform Development Courses

Course Description

Overview

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.

Syllabus

  • Getting Started with R Packages
  • Documentation and Testing
  • Licensing, Version Control, and Software Design
  • Continuous Integration and Cross Platform Development

Taught by

Roger D. Peng, PhD and Brooke Anderson

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