fontawesome

Easily insert FontAwesome icons into R Markdown docs and Shiny apps

rstudio/fontawesome

rstudio.github.io/fontawesome

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Interactive Apps Publishing Visualization

The fontawesome R package provides easy access to Font Awesome icons in R Markdown documents and Shiny applications through SVG output. The main fa() function generates scalable vector graphics that can be embedded inline in text, headings, or UI elements with customizable styling options like fill color.

Using SVG icons instead of traditional icon fonts offers several technical advantages. SVG icons are self-contained in the package, eliminating the need for internet connectivity and reducing overhead in applications. They also provide more flexible styling options compared to font-based icons that require <i> tags and external font files.

Contributors#

Resources featuring fontawesome#

Extending Quarto - posit::conf(2023)

Presented by Richard Iannone What are Quarto shortcode extensions? Think of them as powerful little programs you can run in your Quarto docs. I won’t show you how to build a shortcode extension during this talk but rather I’m going to take you on a trip across this new ecosystem of shortcode extensions that people have already written. For example, I’ll introduce you to the fancy-text extension for outputting nicely-formatted versions of fancy strings such as LaTeX and BibTeX; you’ll learn all about the fontawesome, lordicon, academicons, material-icons, and bsicons shortcode extensions that let you add all sorts of icons. This is only a sampling of the shortcode extensions I will present, there will be many other inspiring examples as well. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Quarto (2). Session Code: TALK-1141

fontawesome Quarto Databricks Data Science Rstudio Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny RMarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education Rstats Open Source Oss Quarto Posit ML

fontawesome

Contributors#

Rich Iannone

Christophe Dervieux

Winston Chang

Carson Sievert

Barret Schloerke

Joe Cheng

Resources featuring fontawesome#

Extending Quarto - posit::conf(2023)