View source: R/scale_fill_grafify.R
scale_fill_grafify | R Documentation |
scale_colour_
and scale_fill_
functionsThese let you apply grafify
discrete or continuous palettes as fill
or colour
aesthetics to any ggplot2
(scale_color_
spelling is also accepted).
scale_fill_grafify(
palette = "okabe_ito",
ColSeq = TRUE,
reverse = FALSE,
discrete = TRUE,
...
)
palette |
Name of the |
ColSeq |
logical TRUE or FALSE. Default TRUE for sequential colours from chosen palette. Set to FALSE for distant colours. |
reverse |
Whether the colour order should be reversed. |
discrete |
not used. |
... |
Additional parameters for |
The default is palette = "okabe_ito"
. The discrete
argument is not used at present. The following discrete and quantitative palettes can be used.
Categorical/discreet palettes:
okabe_ito
(default)
bright
contrast
dark
kelly
light
muted
pale
r4
safe
vibrant
By default, sequential colours from above palettes will be chosen. To choose the most distant colours set ColSeq = TRUE
.
Sequential quantitative palettes:
grey_conti
blue_conti
yellow_conti
Divergent quantitative palettes:
OrBl_div
PrGn_div
ggplot scale_fill function for discrete colours.
#add a grafify fill scheme to ggplot
ggplot(emmeans::neuralgia, aes(x = Treatment,
y = Duration))+
geom_boxplot(aes(fill = Treatment),
alpha = .6)+
geom_point(aes(colour = Treatment,
shape = Treatment),
size = 3)+
scale_fill_grafify(palette = "bright")+
scale_colour_grafify(palette = "bright")+
facet_wrap("Sex")+
theme_classic()
#distant colours `ColSeq = FALSE`
ggplot(emmeans::neuralgia, aes(x = Treatment,
y = Duration))+
geom_boxplot(aes(fill = Treatment),
alpha = .6)+
geom_point(aes(colour = Treatment,
shape = Treatment),
size = 3)+
scale_fill_grafify(palette = "bright",
ColSeq = FALSE)+
scale_colour_grafify(palette = "bright",
ColSeq = FALSE)+
facet_wrap("Sex")+
theme_classic()
#quantitative colour schemes
ggplot(mtcars, aes(x = disp,
y = mpg))+
geom_point(aes(colour = cyl),
size = 3)+
scale_colour_grafify(palette = "blue_conti")
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