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: Johns Hopkins University

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	4.3 звезды Средняя оценка пользователей: 4.3Посмотрите, что пишут учащиеся

Программа курса

НЕДЕЛЯ 1

Getting Started with R Packages

1 видео, 16 материала для самостоятельного изучения

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 материала 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 материала 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 материала 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

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Coursework

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Авторы

Johns Hopkins University

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.

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