R Package Development Cheat Sheet

R Package Development Cheat Sheet

The R Package Development Cheat Sheet is a resource for R programmers. It provides a concise guide and tips for developing packages in R, which are collections of functions, data, and documentation that can be easily shared and used by others.

The R Package Development Cheat Sheet is typically filed by the R community or developers who create and maintain the cheat sheet. The specific individuals or organizations responsible for filing it may vary.

FAQ

Q: What is an R package?
A: An R package is a collection of R functions, data, and documentation that provides a specific set of functionality.

Q: Why would I want to develop an R package?
A: Developing an R package allows you to organize and share your code with others, and it makes it easier to maintain and update your code over time.

Q: How do I create an R package?
A: To create an R package, you can use the function package.skeleton() in R, which automatically generates the basic structure and files for your package.

Q: What are some important files in an R package?
A: Some important files in an R package include the DESCRIPTION file, which contains information about the package, and the NAMESPACE file, which controls how functions and data are exported and imported.

Q: How do I document my functions in an R package?
A: You can use special documentation comments (known as roxygen2 comments) within your function code to provide documentation for your functions. This documentation can then be automatically converted into a package manual using the roxygen2 package.

Q: How do I share my R package with others?
A: To share your R package with others, you can either distribute the package as a source package (which others can install using the install.packages() function in R) or you can build a binary package and distribute that.

Q: How do I submit my R package to the Comprehensive R Archive Network (CRAN)?
A: To submit your R package to CRAN, you need to follow their submission guidelines and upload your package to the CRAN repository. Package submissions go through a review process before they are accepted into CRAN.

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