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Essential Documentation for the rmarkdown Package in R

R Package Documentation

Explore valuable documentation and insights to make the most of the rmarkdown package in R. Get ready to unlock the full potential of the rmarkdown package!

Basic details of the rmarkdown package

At R Basics, our goal is to make it easy for you to find documentation about the rmarkdown package. That’s why we’ve compiled all the key information in one place. Dive into the details below to understand how this package can improve your work.

Title: Dynamic Documents for R
Description: Convert R Markdown documents into a variety of formats.
Author: JJ Allaire [aut], Yihui Xie [aut, cre] (), Christophe Dervieux [aut] (), Jonathan McPherson [aut], Javier Luraschi [aut], Kevin Ushey [aut], Aron Atkins [aut], Hadley Wickham [aut], Joe Cheng [aut], Winston Chang [aut], Richard Iannone [aut] (), Andrew Dunning [ctb] (), Atsushi Yasumoto [ctb, cph] (, Number sections Lua filter), Barret Schloerke [ctb], Carson Sievert [ctb] (), Devon Ryan [ctb] (), Frederik Aust [ctb] (), Jeff Allen [ctb], JooYoung Seo [ctb] (), Malcolm Barrett [ctb], Rob Hyndman [ctb], Romain Lesur [ctb], Roy Storey [ctb], Ruben Arslan [ctb], Sergio Oller [ctb], Posit Software, PBC [cph, fnd], jQuery UI contributors [ctb, cph] (jQuery UI library; authors listed in inst/rmd/h/jqueryui/AUTHORS.txt), Mark Otto [ctb] (Bootstrap library), Jacob Thornton [ctb] (Bootstrap library), Bootstrap contributors [ctb] (Bootstrap library), Twitter, Inc [cph] (Bootstrap library), Alexander Farkas [ctb, cph] (html5shiv library), Scott Jehl [ctb, cph] (Respond.js library), Ivan Sagalaev [ctb, cph] (highlight.js library), Greg Franko [ctb, cph] (tocify library), John MacFarlane [ctb, cph] (Pandoc templates), Google, Inc. [ctb, cph] (ioslides library), Dave Raggett [ctb] (slidy library), W3C [cph] (slidy library), Dave Gandy [ctb, cph] (Font-Awesome), Ben Sperry [ctb] (Ionicons), Drifty [cph] (Ionicons), Aidan Lister [ctb, cph] (jQuery StickyTabs), Benct Philip Jonsson [ctb, cph] (pagebreak Lua filter), Albert Krewinkel [ctb, cph] (pagebreak Lua filter)
Maintainer: Yihui Xie (For contact information, visit our R community directory.)
License type: GPL-3 (For information about this license, visit the Open Source Initiative website.)
Package website: The rmarkdown package has a dedicated website. You can visit: https://github.com/rstudio/rmarkdown, https://pkgs.rstudio.com/rmarkdown/.

Technical details of the rmarkdown package

R documentation also provides technical details of a package, including its dependencies, enhancements, and compilation requirements. Learning this information will help you master the rmarkdown package.

Version: In R, a version refers to a specific release of a package and can be used to track changes. To find the version number of the rmarkdown package in the R console, you can use the packageVersion("rmarkdown") function.
Compilation requirements: Some R packages include internal code that must be compiled for them to function correctly. The rmarkdown package does not have compilation requirements.
Required dependencies: A required dependency refers to another package that is essential for the functioning of the main package. The rmarkdown package has the following required dependencies: R (>= 3.0).
Suggested dependencies: A suggested dependency adds extra features to the main package, but the main package can work without it. The rmarkdown package has the following suggested dependencies: digest, dygraphs, fs, rsconnect, downlit (>= 0.4.0), katex (>= 1.4.0), sass (>= 0.4.0), shiny (>= 1.6.0), testthat (>= 3.0.3), tibble, vctrs, cleanrmd, withr (>= 2.4.2).
External dependencies: External dependencies are other packages that the main package depends on for linking at compile time. The rmarkdown package does not use any external sources.
Imported packages: Importing packages allows developers to leverage existing code and functionalities without having to reinvent the wheel. The rmarkdown package has the following imported packages: bslib (>= 0.2.5.1), evaluate (>= 0.13), fontawesome (>= 0.5.0), htmltools (>= 0.5.1), jquerylib, jsonlite, knitr (>= 1.22), methods, stringr (>= 1.2.0), tinytex (>= 0.31), tools, utils, xfun (>= 0.36), yaml (>= 2.1.19).
Enhancements: Enhancements help developers expand the capabilities of their packages without starting from scratch. The rmarkdown package has no enhancements.

Capabilities of the rmarkdown package

R documentation provides comprehensive information about a package, including its functions, datasets, and vignettes. Exploring this information will help you make the most of the rmarkdown package’s functionalities.

Functions: Functions play a crucial role in R packages. They allow you to perform specific tasks and computations efficiently. To identify the functions in the rmarkdown package, you can use the ls("package:rmarkdown") function.
Datasets: Many R packages include built-in datasets that you can use to familiarize yourself with their functionalities. To identify any built-in datasets in the rmarkdown package, you can use the data(package = "rmarkdown") function.
Vignettes: R vignettes are documents that include examples for using a package. To view the list of available vignettes you can use the vignette(package = "rmarkdown") function. This code will display a list of available vignettes you can read.
Citation information: Citing R packages in your publications is important as it recognizes the contributions of the developers. To find the citation information for the rmarkdown package in the R console, you can use the citation("rmarkdown") function.

Getting help with the rmarkdown package

If you have trouble using the rmarkdown package in R, there are several ways to get help.

The help() function: R’s built-in help system is a handy tool to find documentation. You can use the help("rmarkdown") function to retrieve detailed information, examples, and usage instructions.
The ? operator: The ? operator is a shortcut for the help() function. You can simply type ?rmarkdown to quickly find documentation.
Discussion forums: Online forums are excellent platforms to ask questions, share knowledge, and troubleshoot issues. The most popular forums for R programmers are StackOverflow and Posit Community.

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Code snippet for getting rmarkdown package documentation in R

Use R Basics’ code generator tool to effortlessly access essential documentation for the rmarkdown package within your R environment.

### Install the {Package} package if not already installed.
if (!require("{Package}")) {
install.packages("{Package}")
}
### Load the {Package} package.
library("{Package}")

### Find details of the {Package} package.
packageDescription("{Package}")

### Explore the capabilities of the {Package} package.

# List of functions
ls("package:{Package}")

# List of datasets
data(package = "{Package}")

# List of vignettes
vignette(package = "{Package}")

# Citation information
citation("{Package}")

### Get help with the {Package} package.
help(package = "{Package}")

Additional R package documentation resources

Explore our comprehensive resource guides related to various types of R documentation. These guides are valuable resources for accessing a wide range of information, making it easier to navigate R documentation in one place.

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