These functions are the bayesplot equivalent to
ggplot2::theme_set() and friends. They set, get, and update
the active theme but only apply them to
bayesplots. The current/active
theme is automatically applied to every
bayesplot you draw.
bayesplot_theme_get() to get the current bayesplot theme and
bayesplot_theme_set() to set a new theme.
bayesplot_theme_replace() are shorthands for changing individual elements.
bayesplot_theme_get() bayesplot_theme_set(new = theme_default()) bayesplot_theme_update(...) bayesplot_theme_replace(...)
The new theme (list of theme elements) to use. This is analogous
A named list of theme settings.
bayesplot_theme_get() returns the current theme. The other three
functions (set, update, replace) invisibly return the previous theme
so it can be saved and easily restored later. This is the same behavior as
the ggplot2 versions of these functions.
bayesplot_theme_set() and friends only apply to
ggplot2::theme_set() can also be used to change the
bayesplot theme. Currently, setting a theme with
(other than the ggplot2 default
ggplot2::theme_grey()) will override
the bayesplot theme.
theme_default() for the default bayesplot theme.
bayesplot-helpers for a variety of convenience functions, many of which provide shortcuts for tweaking theme elements after creating a plot.
bayesplot-colors to set or view the color scheme used for plotting.
library(ggplot2) # plot using the current value of bayesplot_theme_get() # (the default is bayesplot::theme_default()) x <- example_mcmc_draws() mcmc_hist(x)#># change the bayesplot theme to theme_minimal and save the old theme old <- bayesplot_theme_set(theme_minimal()) mcmc_hist(x)#># change back to the previous theme bayesplot_theme_set(old) mcmc_hist(x)#># change the default font size and family for bayesplots bayesplot_theme_update(text = element_text(size = 16, family = "sans")) mcmc_hist(x)#># change back to the default bayesplot_theme_set() # same as bayesplot_theme_set(theme_default()) mcmc_hist(x)#># updating theme elements color_scheme_set("brightblue") bayesplot_theme_set(theme_dark()) mcmc_hist(x)#>#># to get the same plot without updating the theme we could also have # used the bayeplot convenience function panel_bg() bayesplot_theme_set(theme_dark()) mcmc_hist(x) + panel_bg(fill = "black")#>