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 | Intermediate |
| 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 vídeo, 16 leituras
- Vídeo: Welcome to Building R Packages
- Leyendo: Before You Start
- Leyendo: Using Mac OS
- Leyendo: Using Windows
- Leyendo: Using Unix/Linux
- Leyendo: R packages
- Leyendo: Basic Structure of an R Package
- Leyendo: DESCRIPTION File
- Leyendo: NAMESPACE File
- Leyendo: Namespace Function Notation
- Leyendo: Loading and Attaching a Package Namespace
- Leyendo: The R Sub-directory
- Leyendo: The man Sub-directory
- Leyendo: Summary
- Leyendo: The devtools package
- Leyendo: Creating a Package
- Leyendo: Other Functions
Nota atribuída: R Package and devtools
SEMANA 2
Documentation and Testing
14 leituras
- Leyendo: Documentation
- Leyendo: Vignette's and README Files
- Leyendo: Knitr / Markdown
- Leyendo: Common knitr Options
- Leyendo: Help Files and roxygen2
- Leyendo: Common roxygen2 Tags
- Leyendo: Overview
- Leyendo: Data for Demos
- Leyendo: Internal Data
- Leyendo: Data Packages
- Leyendo: Summary
- Leyendo: Introduction
- Leyendo: The testthat Package
- Leyendo: Passing CRAN Checks
Nota atribuída: Documenting Code
SEMANA 3
Licensing, Version Control, and Software Design
25 leituras
- Leyendo: Overview
- Leyendo: The General Public License
- Leyendo: The MIT License
- Leyendo: The CC0 License
- Leyendo: Overview
- Leyendo: Paying it Forward
- Leyendo: Linus’s Law
- Leyendo: Hiring
- Leyendo: Summary
- Leyendo: Introduction
- Leyendo: git
- Leyendo: Initializing a git repository
- Leyendo: Committing
- Leyendo: Browsing History
- Leyendo: Linking local repo to GitHub repo
- Leyendo: Syncing RStudio and GitHub
- Leyendo: Issues
- Leyendo: Pull Request
- Leyendo: Merge Conflicts
- Leyendo: Introduction
- Leyendo: The Unix Philosophy
- Leyendo: Default Values
- Leyendo: Naming Things
- Leyendo: Playing Well With Others
- Leyendo: Summary
Nota atribuída: Testing, GitHub, and Open Source
SEMANA 4
Continuous Integration and Cross Platform Development
13 leituras
- Leyendo: Overview
- Leyendo: Web Services for Continuous Integration
- Leyendo: Using Travis
- Leyendo: Using AppVeyor
- Leyendo: Summary
- Leyendo: Introduction
- Leyendo: Handling Paths
- Leyendo: Saving Files & rappdirs
- Leyendo: rappdirs
- Leyendo: Options and Starting R
- Leyendo: Package Installation
- Leyendo: Environmental Attributes
- Leyendo: Summary
Nota atribuída: Building an R Package
Perguntas frequentes
Como funciona
Trabajo del curso
Cada curso es como un libro de texto interactivo, con videos pregrabados, cuestionarios y proyectos.
Ayuda de tus compañeros
Conéctate con miles de estudiantes y debate ideas y materiales del curso, y obtén ayuda para dominar los conceptos.
Certificados
Obtén reconocimiento oficial por tu trabajo y comparte tu éxito con amigos, compañeros y empleadores.
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
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!