scale_colour_grafify: 'scale_colour_' and 'scale_fill_' functions

In grafify: Easy Graphs for Data Visualisation and Linear Models for ANOVA

scale_colour_ and scale_fill_ functions

Description

These let you apply grafify discrete or continuous palettes as fill or colour aesthetics to any ggplot2 (scale_color_ spelling is also accepted).

Usage

scale_colour_grafify(
  palette = "okabe_ito",
  ColSeq = TRUE,
  reverse = FALSE,
  discrete = TRUE,
  ...
)

scale_color_grafify(
  palette = "okabe_ito",
  ColSeq = TRUE,
  reverse = FALSE,
  discrete = TRUE,
  ...
)

Arguments

palette	Name of the grafify palettes from above, provide within quotes. Default discrete palette is okabe_ito. For quantitative palette, set discrete = FALSE (which will apply blue_conti unless another palette is chosen).
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 scale_fill or scale_colour.

Details

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

Value

ggplot scale_fill function for discrete colours.

Examples

#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 scheme
ggplot(mtcars, aes(x = disp,
                   y = mpg))+
  geom_point(aes(colour = cyl), 
             size = 3)+
  scale_colour_grafify(palette = "blue_conti")

grafify documentation built on May 29, 2024, 3:49 a.m.