Lecture 19
The interface provided by Shiny is based on the html elements, styling, and javascript provided by the Bootstrap library.
As we’ve seen so far, knowing the specifics of Bootstrap are not needed for working with Shiny - but understanding some of its conventions goes a long way to helping you customize the elements of your app (via custom CSS and other components).
This is not the only place that Bootstrap shows up in the R ecosystem - e.g. both RMarkdown and Quarto html documents use Bootstrap for styling as well.
The bslib R package provides a modern UI toolkit for Shiny, R Markdown, and Quarto based on Bootstrap.
It facilitates:
Custom theming of Shiny apps and R Markdown documents.
Use of modern versions of Bootstrap and Bootswatch
Creation of delightful and customizable Shiny dashboards
Cards are a common organizing unit for modern user interfaces (UI). At their core, they’re just rectangular containers with borders and padding. However, when utilized properly to group related information, they help users better digest, engage, and navigate through content. This is why most successful dashboard/UI frameworks make cards a core feature of their component library.
These are simple cards that are designed to show simple numeric or text values.
library(bsicons)
library(htmltools)
page_fillable(
value_box(
title = "1st value",
value = "123",
theme_color = "",
showcase = bs_icon("bar-chart"),
p("The 1st detail")
),
value_box(
title = "2nd value",
value = "456",
showcase = bs_icon("graph-up"),
theme_color = "danger",
p("The 2nd detail"),
p("The 3rd detail")
)
)
library(leaflet)
layout_column_wrap(
width = "200px",
card(
max_height = 250,
card_header("Card 1"),
lorem::ipsum(1,3)
),
card(
max_height = 250, fill=FALSE,
card_header("Card 2"),
"This is it."
),
card(
max_height = 250,
card_header("Card 3"),
leaflet() |> addTiles()
)
) |>
anim_width("100%", "33%")
library(leaflet)
page_navbar(
title = "My dashboard",
sidebar = "Sidebar",
nav_spacer(),
nav_panel(
"Panel 1",
card(
max_height = 500,
card_header("Card 1"),
lorem::ipsum(3, 4)
)
),
nav_panel(
"Panel 2",
card(
max_height = 500,
card_header("Card 2"),
leaflet() |> addTiles()
)
),
nav_item(shiny::a("bslib", href = "https://rstudio.github.io/bslib/")),
collapsible = FALSE
)
Due to the ubiquity of Bootstrap a large amount of community effort has gone into developing custom themes - a large free collection of these are available at bootswatch.com/.
bs_theme()
Provides a high level interface to adjusting the theme for an entire Shiny app,
Change bootstrap version via version
argument
Pick a bootswatch theme via bootswatch
argument
Adjust basic color palette (bg
, fg
, primary
, secondary
, etc.)
Adjust fonts (base_font
, code_font
, heading_font
, font_scale
)
and more
The object returned by bs_theme()
can be passed to the theme
argument of fluidPage()
and similar page UI elements.
In a Shiny app dynamic theming can be enabled by including bs_themer()
in the server function.
Simplified theming of ggplot2, lattice, and {base} R graphics. In addition to providing a centralized approach to styling R graphics, thematic also enables automatic styling of R plots in Shiny, R Markdown, and RStudio.
In the case of our flexdashboard (or other shiny app), all we need to do is to include a call to thematic_shiny()
before the app is loaded.
"auto"
will attempt to resolve the bg
, fg
, accent
, or font
values at plot time.Sta 523 - Fall 2023