Here, I describe how you can achieve this behavior using my custom pkgdown template, preferably, and sfthemes. You need a set of light/dark theme, and a collection of compatible, and optimized color scales in order to be able to deliver a seamless experience. While changing the text and background color can be “easily” adjusted using CSS, creating two similar, compatible, and optimized plots for light and dark appearances is not straightforward. For instance, as you can see below, a light themed plot is used in the light version of the website, and a dark themed plot in the dark version. Fortunately, it is possible to provide two versions of a same image and inform browsers on when to use one instead of the other. However, background and text colors are not the only elements of a website that should be adjust based on users’ preferences, figures and plots should adapt their appearances as well. YAML At the top of the script is the YAML header. We briefly re-visit these and highlight differences from other R Markdown output formats. Recently, I developed preferably to take advantages of this, and customize pkgdown websites based on user’s preferred system appearances, e.g., light/dark mode. 42.3 The script The script is an R Markdown script, and so has the same components and organization as described in the page on Reports with R Markdown. You include htmlwidgets in an R Markdown document just like you include R plots.Nowadays, most modern web browsers can detect users system preferences and notify a website to deliver an accessible and customized experience to the visitors. You can find example uses of several of the more popular htmlwidgets in the htmlwidgets showcase and browse all available widgets in the gallery. There are over 30 packages on CRAN which provide htmlwidgets. VisNetwork, an interface to the network visualization capabilities of the vis.js library. Highcharter, a rich R interface to the popular Highcharts JavaScript graphics library. Rbokeh, an interface to Bokeh, a powerful declarative Bokeh framework for creating web-based plots. Files written in Markdown have a ‘.md’ extension. Plotly, which via its ggplotly interface allows you to easily translate your ggplot2 graphics to an interactive web-based version. Installation Install the bslib package from CRAN as follows: install.packages ('bslib') An example The quickest way to see what bslib can do is to run bslib::bsthemepreview () at the console. To explain some of the concepts and packages involved: Markdown is a language that allows you to write a document using plain text, that can be converted to html and other formats. Leaflet, a library for creating dynamic maps that support panning and zooming, with various annotations like markers, polygons, and popups.ĭygraphs, which provides rich facilities for charting time-series data and includes support for many interactive features including series/point highlighting, zooming, and panning. I really love the functionality of the template, however, Id like to change the base colour closer to. I have selected a template from this website. Charts based on htmlwidgets are ideal for use with flexdashboard because they can dynamically re-size themselves, so will nearly always fit perfectly within the bounds of their flexdashboard containers. Im writing a beamer presentation using RMarkdown. The htmlwidgets framework provides high-level R bindings for JavaScript data visualization libraries. In fact, the tabset examples above use header attributes in two places: Column is a valid set of header attributes that you might use in flexdashboard. ![]() ![]() Flexdashboard relies heavily on pandoc’s header attribute syntax and you’ll see the syntax referenced throughout our documentation.
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