R packages /

Turn your R code into packages that others can easily download and use. This practical book shows you how to bundle reusable R functions, sample data, and documentation together by applying author Hadley Wickham's package development philosophy. In the process, you'll work with devtools, r...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Wickham, Hadley (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Sebastopol, CA : O'Reilly Media, 2015.
Edición:First edition.
Temas:
R (Computer program language)
R (Langage de programmation)
COMPUTERS > Programming Languages > General.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Machine generated contents note: pt. I Getting Started
  • 1. Introduction
  • Philosophy
  • Getting Started
  • Conventions
  • Colophon
  • 2. Package Structure
  • Naming Your Package
  • Requirements for a Name
  • Strategies for Creating a Name
  • Creating a Package
  • RStudio Projects
  • What Is an RStudio Project File?
  • What Is a Package?
  • Source Packages
  • Bundled Packages
  • Binary Packages
  • Installed Packages
  • In-Memory Packages
  • What Is a Library?
  • pt. II Package Components
  • 3.R Code
  • R Code Workflow
  • Organizing Your Functions
  • Code Style
  • Object Names
  • Spacing
  • Curly Braces
  • Line Length
  • Indentation
  • Assignment
  • Commenting Guidelines
  • Top-Level Code
  • Loading Code
  • The R Landscape
  • When You Do Need Side Effects
  • S4 Classes, Generics, and Methods
  • CRAN Notes
  • 4. Package Metadata
  • Dependencies: What Does Your Package Need?
  • Versioning
  • Other Dependencies
  • Title and Description: What Does Your Package Do?
  • Author: Who Are You?
  • On CRAN
  • License: Who Can Use Your Package?
  • On CRAN
  • Version
  • Other Components
  • 5. Object Documentation
  • The Documentation Workflow
  • Alternative Documentation Workflow
  • Roxygen Comments
  • Documenting Functions
  • Documenting Datasets
  • Documenting Packages
  • Documenting Classes, Generics, and Methods
  • S3
  • S4
  • RC
  • Special Characters
  • Do Repeat Yourself
  • Inheriting Parameters from Other Functions
  • Documenting Multiple Functions in the Same File
  • Text Formatting Reference Sheet
  • Character Formatting
  • Links
  • Lists
  • Mathematics
  • Tables
  • 6. Vignettes: Long-Form Documentation
  • Vignette Workflow
  • Metadata
  • Markdown
  • Sections
  • Lists
  • Inline Formatting
  • Tables
  • Code
  • Knitr
  • Options
  • Development Cycle
  • Advice for Writing Vignettes
  • Organization
  • CRAN Notes
  • Where to Go Next
  • 7. Testing
  • Test Workflow
  • Test Structure
  • Expectations
  • Writing Tests
  • What to Test
  • Skipping a Test
  • Building Your Own Testing Tools
  • Test Files
  • CRAN Notes
  • 8. Namespace
  • Motivation
  • Search Path
  • The NAMESPACE
  • Workflow
  • Exports
  • S3
  • S4
  • RC
  • Data
  • Imports
  • R Functions
  • S3
  • S4
  • Compiled Functions
  • 9. External Data
  • Exported Data
  • Documenting Datasets
  • Internal Data
  • Raw Data
  • Other Data
  • CRAN Notes
  • 10.Compiled Code
  • C++
  • Workflow
  • Documentation
  • Exporting C++ Code
  • Importing C++ Code
  • Best Practices
  • C
  • Getting Started with .Call()
  • Getting Started with C()
  • Workflow
  • Exporting C Code
  • Importing C Code
  • Best Practices
  • Debugging Compiled Code
  • Makefiles
  • Other Languages
  • Licensing
  • Development Workflow
  • CRAN Issues
  • 11. Installed Files
  • Package Citation
  • Other Languages
  • 12. Other Components
  • Demos
  • pt. III Best Practices
  • 13. Git and GitHub
  • RStudio, Git, and GitHub
  • Initial Setup
  • Creating a Local Git Repository
  • Seeing What's Changed
  • Recording Changes
  • Best Practices for Commits
  • Ignoring Files
  • Undoing Mistakes
  • Synchronizing with GitHub
  • Benefits of Using GitHub
  • Working with Others
  • Issues
  • Branches
  • Making a Pull Request
  • Submitting a Pull Request to Another Repo
  • Reviewing and Accepting Pull Requests
  • Learning More
  • 14. Automated Checking
  • Workflow
  • Checks
  • Check Metadata
  • Package Structure
  • Description
  • Namespace
  • R Code
  • Data
  • Documentation
  • Demos
  • Compiled Code
  • Tests
  • Vignettes
  • Checking After Every Commit with Travis
  • Basic Config
  • Other Uses
  • 15. Releasing a Package
  • Version Number
  • Backward Compatibility
  • The Submission Process
  • Test Environments
  • Check Results
  • Reverse Dependencies
  • CRAN Policies
  • Important Files
  • README.md
  • README. Rmd
  • NEWS.md
  • Release
  • On Failure
  • Binary Builds
  • Prepare for Next Version
  • Publicizing Your Package
  • Congratulations!

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