Building R Packages
Offered By: Johns Hopkins University via Coursera
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
Tags
Related Courses
Statistics OnePrinceton University via Coursera Introduction to Computational Finance and Financial Econometrics
University of Washington via Coursera Curso Práctico de Bioestadística con R
Universidad San Pablo CEU via Miríadax Análisis Estadístico de datos con R
Universidad Católica de Murcia via Miríadax Data Analysis with R
Facebook via Udacity