Mastering Devtools R for Seamless Package Creation

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Devtools R is a powerful tool for creating and managing R packages. It simplifies the process of creating, building, and publishing packages, making it easier to share your work with others.

With devtools R, you can create a new package in just a few lines of code. For example, you can use the `create()` function to create a new package with a specific name and structure.

The `create()` function is a great starting point for building a package, but it's just the beginning. You'll also need to consider things like package dependencies, documentation, and testing to ensure your package is robust and reliable.

By mastering devtools R, you can streamline your package creation process and focus on what really matters – writing great code and sharing it with the world.

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Package Development

Package development with devtools is a breeze. You can create a skeleton package with just a few lines of code, using the create function from devtools.

Credit: youtube.com, Building R packages with devtools and usethis | RStudio

The create function creates the initial package structure, including files like DESCRIPTION, NAMESPACE, and .gitignore, as well as an R folder and an R project file. You can also specify an optional parameter, open, to start a new session in RStudio desktop with the package opened.

To get started, initialize a skeleton package using devtools. This will give you a solid foundation for your package. You can then modify the DESCRIPTION file to add your package's title and author information.

Devtools makes it easy to create and manage packages. With the use of functions like document and load_all, you can keep your package up-to-date and ensure that all functions and data are loaded correctly.

Here's a list of the key devtools functions for package development:

  • create: Create the file structure for a new package
  • load_all: Load the code for all functions in the package
  • document: Create \man documentation files and the “NAMESPACE” file from roxygen2 code
  • use_data: Save an object in your R session as a dataset in the package
  • use_package: Add a package you’re using to the DESCRIPTION file
  • use_vignette: Set up the package to include a vignette
  • use_readme_rmd: Set up the package to include a README file in R Markdown format
  • use_build_ignore: Specify files that should be ignored when building the R package
  • check: Check the full R package for any ERRORs, WARNINGs, or NOTEs
  • build_win: Build a version of the package for Windows and send it to be checked on a Windows machine
  • use_travis: Set the package up to facilitate using Travis CI with the package
  • use_cran_comments: Create a file where you can add comments to include with your CRAN submission
  • submit_cran: Submit the package to CRAN
  • use_news_md: Add a file to the package to give news on changes in new versions

These functions make it easy to manage your package and ensure it's ready for submission to CRAN.

Troubleshooting

Troubleshooting is an essential part of working with devtools r. You can use the "repl" function to debug your code, which will show you the output of your code in a new window.

If you're having trouble with a specific function, check the documentation to see if it has any known issues or limitations. For example, the "render" function can sometimes struggle with complex layouts.

To resolve this issue, try simplifying your layout or using a different function.

Function Not Found

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If you're getting the "could not find function" error, it's likely because the function wasn't exported. This can be fixed by adding the function to the NAMESPACE.

When running devtools::run_examples(), make sure the function is properly exported to avoid this issue.

Exporting a function is as simple as adding the function to the NAMESPACE. This will add the function to the list of functions that can be accessed from outside the package.

If you're still having trouble, double-check that the function name is correct and that the function is actually defined in your code.

Errors During Check

If you're seeing a message during check that indicates you need to include devtools as the suggest field of DESCRIPTION, that's a clear sign that something went wrong.

This specific error message is a common issue that can be easily resolved by adding devtools to the DESCRIPTION field.

To fix this, simply add devtools as the suggest field in your DESCRIPTION, and you're good to go.

Documentation

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Documentation is a crucial step in sharing your R package with others. You can build a .tar.gz file to share the package, which is stored in the parent folder of the current package by default.

To create documentation for your functions, use devtools::document(). This command updates the NAMESPACE for functions with the @export tag and generates R documentation files in the man folder.

You can document a function using devtools::document(), which automatically generates a R documentation file, such as man/ff_rtest_add_basic.Rd.

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Package Structure

Creating a package structure is an essential step in developing an R package. The devtools package provides several functions to create and manage the package structure.

The create function from devtools creates the initial package structure, including the R folder, DESCRIPTION, NAMESPACE, .gitignore, .Rbuildignore, and PkgTestR.Rproj files. This function takes the filepath for the directory where you want to create the package as input.

Alternatively, you can create a new package in RStudio by selecting "File" -> "New Project" -> "New Directory" -> "R Package." This will also create the initial package structure.

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The initial package directory includes an R subdirectory for R scripts, two metadata files (DESCRIPTION and NAMESPACE), an R project file (.Rproj), and two dot-files (.gitignore and .Rbuildignore) for excluding files from git and package builds.

Here's a breakdown of the initial package structure created with devtools:

  • R folder for R scripts
  • DESCRIPTION file for metadata
  • NAMESPACE file for interface information
  • .Rproj file for project options
  • .gitignore file for excluding files from git
  • .Rbuildignore file for excluding files from package builds

These files provide a solid foundation for your package development.

Learning and Resources

There are now a number of valuable resources to help with R package development, making it less intimidating.

The book "R Packages" gives a comprehensive treatment of all common parts of package development and uses devtools throughout.

RStudio community is a great place to ask specific questions related to package development.

rOpenSci packages has extensive documentation on best practices for R packages looking to be contributed to rOpenSci, but also very useful general recommendations for package authors.

There are a number of fantastic blog posts on writing your first package.

Writing R Extensions is the exhaustive, canonical reference for writing R packages, maintained by the R core developers.

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Here are some useful R packages for package development:

You'll need to care about these packages if you're filing a bug or trying to use some devtools functionality in your own package or deployed application.

Frequently Asked Questions

What can I use instead of devtools R?

You can use pak as an alternative to devtools, offering a fast, safe, and convenient way to install R packages from various sources.

How to install devtools in R mac?

To install devtools in R on a Mac, first install Xcode and a LaTeX distribution, then open RStudio and type "install.packages('devtools')" in the console. This will install devtools in R on your Mac.

What is library command in R?

The library in R refers to the directory where packages are stored, containing both built-in and user-installed packages. To use a package in R, you must first load it into your session.

What is devtools package in R?

The devtools package in R is a collection of tools that simplifies the process of developing and maintaining R packages. It provides functions to create, document, and load packages, making it easier to build and share R packages.

How to install R package from GitHub devtools?

To install an R package from GitHub using devtools, start by installing devtools itself, then follow the steps to install the package of interest from GitHub. This process typically involves three steps: installing devtools, installing the package, and loading it for use.

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