set_blanket {ggblanket} | R Documentation |
Set the style
Description
Set the style by setting:
the geom defaults, including the colour (and fill) of geoms
the colour (and fill) palettes (i.e. discrete, continuous and ordinal)
the theme, and how/what side-effects are to be applied
the function to apply to a unspecified/unlabelled
x_label
,y_label
,col_label
etc.
ggplot2::update_geom_defaults()
can be used to further fine-tune geom defaults.
Usage
set_blanket(
...,
colour = "#357BA2FF",
col_palette_d = jumble,
col_palette_c = viridisLite::mako(n = 9, direction = -1),
col_palette_o = scales::pal_viridis(option = "G", direction = -1),
col_palette_na_d = "#CDC5BFFF",
col_palette_na_c = "#988F88FF",
col_palette_na_o = "#988F88FF",
theme = light_mode_r(),
theme_orientation = NULL,
theme_axis_line_rm = TRUE,
theme_axis_ticks_rm = TRUE,
theme_panel_grid_rm = TRUE,
label_case = snakecase::to_sentence_case
)
Arguments
... |
Provided to require argument naming, support trailing commas etc. |
colour |
For most geoms, a default hex code for the colour of geoms (i.e. geoms other than "text", "label", "hline", and "vline"). Note, the "fill" inherits from this argument. |
col_palette_d |
For a discrete scale, a character vector of hex codes. |
col_palette_c |
For a continuous scale, a character vector of hex codes. |
col_palette_o |
For an ordinal scale, a |
col_palette_na_d |
For a discrete scale, a hex code. |
col_palette_na_c |
For a continuous scale, a hex code. |
col_palette_na_o |
For an ordinal scale, a hex code. |
theme |
A ggplot2 theme (e.g. |
theme_orientation |
The orientation of plot, which affects the theme components that can be removed by the |
theme_axis_line_rm |
|
theme_axis_ticks_rm |
|
theme_panel_grid_rm |
|
label_case |
A function to apply to a unspecified/unlabelled |
Value
A globally set style.
Examples
library(ggplot2)
library(ggblanket)
library(palmerpenguins)
set_blanket(
theme = dark_mode_r(),
colour = "#E7298AFF",
col_palette_d = c("#1B9E77FF", "#D95F02FF", "#7570b3FF", "#E7298AFF",
"#66A61EFF", "#E6AB02FF", "#A6761DFF", "#666666FF"),
)
penguins |>
gg_point(
x = flipper_length_mm,
y = body_mass_g,
)
penguins |>
gg_histogram(
x = flipper_length_mm,
col = species,
)