Informações sobre o curso: 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.
Desenvolvido por: Johns Hopkins University
Ministrado por: Roger D. Peng, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
Ministrado por: Brooke Anderson, Assistant Professor, Environmental & Radiological Health Sciences
Colorado State University
| Informações básicas | Curso 3 de 5 no Mastering Software Development in R Specialization |
| Nível | Intermediário |
| Idioma | English |
| Como ser aprovado | Seja aprovado em todas as tarefas para concluir o curso. |
| Classificação do usuário |
Programa
SEMANA 1
Getting Started with R Packages
1 videos, 16 leituras
- 学習用教材: Before You Start
- 学習用教材: Using Mac OS
- 学習用教材: Using Windows
- 学習用教材: Using Unix/Linux
- 学習用教材: R packages
- 学習用教材: Basic Structure of an R Package
- 学習用教材: DESCRIPTION File
- 学習用教材: NAMESPACE File
- 学習用教材: Namespace Function Notation
- 学習用教材: Loading and Attaching a Package Namespace
- 学習用教材: The R Sub-directory
- 学習用教材: The man Sub-directory
- 学習用教材: Summary
- 学習用教材: The devtools package
- 学習用教材: Creating a Package
- 学習用教材: Other Functions
Nota atribuída: R Package and devtools
SEMANA 2
Documentation and Testing
14 leituras
- 学習用教材: Documentation
- 学習用教材: Vignette's and README Files
- 学習用教材: Knitr / Markdown
- 学習用教材: Common knitr Options
- 学習用教材: Help Files and roxygen2
- 学習用教材: Common roxygen2 Tags
- 学習用教材: Overview
- 学習用教材: Data for Demos
- 学習用教材: Internal Data
- 学習用教材: Data Packages
- 学習用教材: Summary
- 学習用教材: Introduction
- 学習用教材: The testthat Package
- 学習用教材: Passing CRAN Checks
Nota atribuída: Documenting Code
SEMANA 3
Licensing, Version Control, and Software Design
25 leituras
- 学習用教材: Overview
- 学習用教材: The General Public License
- 学習用教材: The MIT License
- 学習用教材: The CC0 License
- 学習用教材: Overview
- 学習用教材: Paying it Forward
- 学習用教材: Linus’s Law
- 学習用教材: Hiring
- 学習用教材: Summary
- 学習用教材: Introduction
- 学習用教材: git
- 学習用教材: Initializing a git repository
- 学習用教材: Committing
- 学習用教材: Browsing History
- 学習用教材: Linking local repo to GitHub repo
- 学習用教材: Syncing RStudio and GitHub
- 学習用教材: Issues
- 学習用教材: Pull Request
- 学習用教材: Merge Conflicts
- 学習用教材: Introduction
- 学習用教材: The Unix Philosophy
- 学習用教材: Default Values
- 学習用教材: Naming Things
- 学習用教材: Playing Well With Others
- 学習用教材: Summary
Nota atribuída: Testing, GitHub, and Open Source
SEMANA 4
Continuous Integration and Cross Platform Development
13 leituras
- 学習用教材: Overview
- 学習用教材: Web Services for Continuous Integration
- 学習用教材: Using Travis
- 学習用教材: Using AppVeyor
- 学習用教材: Summary
- 学習用教材: Introduction
- 学習用教材: Handling Paths
- 学習用教材: Saving Files & rappdirs
- 学習用教材: rappdirs
- 学習用教材: Options and Starting R
- 学習用教材: Package Installation
- 学習用教材: Environmental Attributes
- 学習用教材: Summary
Nota atribuída: Building an R Package
Perguntas frequentes
Como funciona
コースワーク
各コースは、インタラクティブな教科書のようなもので、事前に作成された動画、テスト、プロジェクトが備わっています。
他の受講生からの支援
他の数千もの受講生とつながり、アイデアやコース教材について検討し、 コンセプトの理解を深めます。
修了証
仕事に関する公式な認定を取得して、達成したことを友人、同僚、雇用主と共有してください。
Desenvolvedores
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.
Custo
| Comprar curso | |
|---|---|
| Acesso aos materiais do curso | Disponível |
| Acesso a materiais valendo nota | Disponível |
| Receba uma nota final | Disponível |
| Obtenha um Certificado de Curso compartilhável | Disponível |
Classificações e avaliações
Nice
I learned a lot in this course, was difficult at the begininng but enjoyable at the end!
Good slow walk through of the process for creating and checking a package
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Amazing course! Will explain every detail regarding R package creation.