Об этом курсе: 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.
Автор: Университет Джонса Хопкинса
Преподаватели: Roger D. Peng, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
Преподаватели: Brooke Anderson, Assistant Professor, Environmental & Radiological Health Sciences
Colorado State University
| Основные сведения | Course 3 of 5 in the Mastering Software Development in R Specialization |
| Уровень | Intermediate |
| Язык | English |
| Как пройти курс | Чтобы пройти курс, выполните все оцениваемые задания. |
| Оценки пользователей |
Программа курса
НЕДЕЛЯ 1
Getting Started with R Packages
1 видео, 16 материалов для самостоятельного изучения
- Видео: Welcome to Building R Packages
- Reading: Before You Start
- Reading: Using Mac OS
- Reading: Using Windows
- Reading: Using Unix/Linux
- Reading: R packages
- Reading: Basic Structure of an R Package
- Reading: DESCRIPTION File
- Reading: NAMESPACE File
- Reading: Namespace Function Notation
- Reading: Loading and Attaching a Package Namespace
- Reading: The R Sub-directory
- Reading: The man Sub-directory
- Reading: Summary
- Reading: The devtools package
- Reading: Creating a Package
- Reading: Other Functions
Оцениваемый: R Package and devtools
НЕДЕЛЯ 2
Documentation and Testing
14 материалов для самостоятельного изучения
- Reading: Documentation
- Reading: Vignette's and README Files
- Reading: Knitr / Markdown
- Reading: Common knitr Options
- Reading: Help Files and roxygen2
- Reading: Common roxygen2 Tags
- Reading: Overview
- Reading: Data for Demos
- Reading: Internal Data
- Reading: Data Packages
- Reading: Summary
- Reading: Introduction
- Reading: The testthat Package
- Reading: Passing CRAN Checks
Оцениваемый: Documenting Code
НЕДЕЛЯ 3
Licensing, Version Control, and Software Design
25 материалов для самостоятельного изучения
- Reading: Overview
- Reading: The General Public License
- Reading: The MIT License
- Reading: The CC0 License
- Reading: Overview
- Reading: Paying it Forward
- Reading: Linus’s Law
- Reading: Hiring
- Reading: Summary
- Reading: Introduction
- Reading: git
- Reading: Initializing a git repository
- Reading: Committing
- Reading: Browsing History
- Reading: Linking local repo to GitHub repo
- Reading: Syncing RStudio and GitHub
- Reading: Issues
- Reading: Pull Request
- Reading: Merge Conflicts
- Reading: Introduction
- Reading: The Unix Philosophy
- Reading: Default Values
- Reading: Naming Things
- Reading: Playing Well With Others
- Reading: Summary
Оцениваемый: Testing, GitHub, and Open Source
НЕДЕЛЯ 4
Continuous Integration and Cross Platform Development
13 материалов для самостоятельного изучения
- Reading: Overview
- Reading: Web Services for Continuous Integration
- Reading: Using Travis
- Reading: Using AppVeyor
- Reading: Summary
- Reading: Introduction
- Reading: Handling Paths
- Reading: Saving Files & rappdirs
- Reading: rappdirs
- Reading: Options and Starting R
- Reading: Package Installation
- Reading: Environmental Attributes
- Reading: Summary
Оцениваемый: Building an R Package
Часто задаваемые вопросы
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Авторы
Университет Джонса Хопкинса
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Стоимость
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Рейтинги и отзывы
Good slow walk through of the process for creating and checking a package
This course really boosted my confidence in writing codes, functions and i look forward to someday writing my own package. The course left me on such a high note that I made a couple of presentations using the plots in my vignette. I wanted to somehow show my appreciation to the authors of the course. The choice of a real life dataset made it really very interesting for me. Here's the link to the presentations i made. I'm not sure if it should be shared with your students, so i'll leave that up to you. Thanks again for making learning so much fun. BTW, it was a bit of a cliffhanger for me. I only got my package to pas travis at the last minute. Here are the links:
http://rpubs.com/DocOfi/350304 and
http://rpubs.com/DocOfi/350099
This course provides useful knowledge in building R packages, as well as opportunities to implement our knowledge. However, as the previous courses in the series, the last module (week) is extremely challenging compared to the previous ones.
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I learned a lot in this course, was difficult at the begininng but enjoyable at the end!