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Minimal refine

Source: R/minimal.R
minimal.Rd

Behaves like hybrid() but additionally removes axis lines and ticks from both axes. When both axes are continuous or binned, only axis lines and ticks are removed, leaving gridlines untouched. When a discrete axis is present, also removes gridlines and axis elements from the non-focused dimension, as in modern().

Usage

minimal(x_type = "continuous", y_type = "continuous", focus = NULL, ...)

Arguments

x_type

Character. Type of x-axis: "continuous", "binned", or "discrete".

y_type

Character. Type of y-axis: "continuous", "binned", or "discrete".

focus

Character. The primary axis of interest: "x" or "y". Gridlines and axis elements are removed from the opposite axis. If NULL (default), focus is inferred from x_type and y_type: discrete x with continuous/binned y gives "x", continuous/binned x with discrete y gives "y", otherwise "x".

...

Additional arguments (currently unused).

Value

A ggplot2 theme object

Examples

library(ggplot2)

set_theme(new = ggrefine::theme_grey())

p_continuous <- mpg |>
  ggplot(aes(x = displ, y = hwy)) +
  geom_point(shape = 21, colour = blends::multiply("#357BA2FF"))

p_discrete_x <- mpg |>
  ggplot(aes(x = drv, y = hwy)) +
  geom_jitter(shape = 21, colour = blends::multiply("#357BA2FF"))

p_discrete_y <- mpg |>
  ggplot(aes(x = hwy, y = drv)) +
  geom_jitter(shape = 21, colour = blends::multiply("#357BA2FF"))

patchwork::wrap_plots(
  p_continuous + ggrefine::classic() + labs(title = "ggrefine::classic"),
  p_discrete_x + ggrefine::classic(x_type = "discrete"),
  p_discrete_y + ggrefine::classic(y_type = "discrete"),
  p_continuous + ggrefine::modern() + labs(title = "ggrefine::modern"),
  p_discrete_x + ggrefine::modern(x_type = "discrete"),
  p_discrete_y + ggrefine::modern(y_type = "discrete"),
  p_continuous + ggrefine::hybrid() + labs(title = "ggrefine::hybrid"),
  p_discrete_x + ggrefine::hybrid(x_type = "discrete"),
  p_discrete_y + ggrefine::hybrid(y_type = "discrete"),
  p_continuous + ggrefine::minimal() + labs(title = "ggrefine::minimal"),
  p_discrete_x + ggrefine::minimal(x_type = "discrete"),
  p_discrete_y + ggrefine::minimal(y_type = "discrete"),
  p_continuous + ggrefine::void() + labs(title = "ggrefine::void"),
  p_discrete_x + ggrefine::void(x_type = "discrete"),
  p_discrete_y + ggrefine::void(y_type = "discrete"),
  p_continuous + ggrefine::none() + labs(title = "ggrefine::none"),
  p_discrete_x + ggrefine::none(x_type = "discrete"),
  p_discrete_y + ggrefine::none(y_type = "discrete"),
  ncol = 3
)