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.
Install the stable release of {thematic}
on
CRAN with:
install.packages("thematic")
Auto theming in
Shiny
requires {shiny}
1.5.0 or higher:
install.packages("shiny")
Auto theming in R
Markdown
requires {rmarkdown}
2.7 or higher:
install.packages("rmarkdown")
Using themes with custom
fonts works
best if you have {showtext}
and/or {ragg}
installed.
install.packages("showtext")
install.packages("ragg")
{thematic}
’s auto
theming gives R
plots the ability to style themselves inside Shiny (via CSS),
RStudio (via RStudio
themes),
and R Markdown (via
{bslib}
).
Call thematic_shiny()
before launching a Shiny app to enable
{thematic}
for every plotOutput()
inside the app. If no values are
provided to thematic_shiny()
, each plotOutput()
uses the app’s CSS
colors to inform new R plotting defaults. If the app uses Google
Fonts (and you have {showtext}
and/or
{ragg}
installed), you may safely provide font = "auto"
to
thematic_shiny()
, which also translates CSS fonts to R. Here’s an
example with the Pacifico
font:
library(shiny)
library(ggplot2)
library(thematic)
# In order for auto/custom fonts to work properly, you'll want
# either the ragg (or showtext) package installed
library(ragg)
# If you want `{ragg}` to handle the font rendering in a Shiny app
options(shiny.useragg = TRUE)
# Call thematic_shiny() prior to launching the app, to change
# R plot theming defaults for all the plots generated in the app
thematic_shiny(font = "auto")
ui <- fluidPage(
# bslib makes it easy to customize CSS styles for things
# rendered by the browser, like tabsetPanel()
# https://rstudio.github.io/bslib
theme = bslib::bs_theme(
bg = "#002B36", fg = "#EEE8D5", primary = "#2AA198",
# bslib also makes it easy to import CSS fonts
base_font = bslib::font_google("Pacifico")
),
tabsetPanel(
type = "pills",
tabPanel("ggplot", plotOutput("ggplot")),
tabPanel("lattice", plotOutput("lattice")),
tabPanel("base", plotOutput("base"))
)
)
server <- function(input, output) {
output$ggplot <- renderPlot({
ggplot(mtcars, aes(wt, mpg, label = rownames(mtcars), color = factor(cyl))) +
geom_point() +
ggrepel::geom_text_repel()
})
output$lattice <- renderPlot({
lattice::show.settings()
})
output$base <- renderPlot({
image(volcano, col = thematic_get_option("sequential"))
})
}
shinyApp(ui, server)
Call thematic_on()
before generating plots inside RStudio to have all
subsequent plots shown in the “Plots” viewing pane to reflect your
RStudio theme. Note that thematic_on()
enables {thematic}
for the
remainder of the R session, but you can use thematic_off()
to disable
(or thematic_theme()
for one-off use of
{thematic}
).
Here’s an example of how {thematic}
can intelligently adapt each plot
to the current RStudio theme:
Call thematic_rmd()
before generating plots inside R Markdown to have
all subsequent plots within the document reflect the relevant theme. In
a static (i.e., non-runtime: shiny
) R Markdown context, auto-theming
only works with {bslib}
-powered
rmarkdown::html_document()
(as in the example below), but in other situations you may also provide
colors and fonts explicitly to thematic_rmd()
.
By default, {thematic}
attempts to detect the relevant background,
foreground, and accent colors. However, you may also specify these
settings more directly by providing relevant color and fonts directly to
thematic_on()
(or thematic_shiny()
/thematic_rmd()
).
library(ggplot2)
thematic::thematic_on(bg = "#222222", fg = "white", accent = "#0CE3AC", font = "Oxanium")
ggp <- ggplot(mtcars, aes(wt, mpg, label = rownames(mtcars), color = factor(cyl))) +
geom_point() +
ggrepel::geom_text_repel()
ggp
{thematic}
works by setting new global defaults that can always be
overridden with plot-specific theme()
-ing code:
ggp + theme(text = element_text(colour = "purple"))
To use a “complete” {ggplot2}
theme with {thematic}
(e.g.,
theme_bw()
, theme_minimal()
, etc), use theme_set()
to set the
theme globally. This way {thematic}
has the opportunity to preserve
the complete theme’s styling semantics when changing global defaults
(e.g., theme_bw()
uses the same fill color for the panel and plot
background, which is semantically different from the theme_gray()
default):
theme_set(theme_bw())
ggp
In addition to setting new defaults for main colors and fonts,
{thematic}
also sets defaults for qualitative
(and sequential
)
colorscales. See the custom themes
article to
learn more about how to customize those defaults.
{thematic}
’s theming options as well as how they interact
with {ggplot2}
, {lattice}
, and {base}
.{thematic}
.{thematic}
to individual plots.Below is a link to an RStudio Cloud instance with some ready to run
{thematic}
examples:
{thematic}
is released with a Contributor Code of
Conduct.
By
contributing
to this project, you agree to abide by its terms.