scale_colour_ and scale_fill_ functions

Source: R/scale_fill_grafify.R

These 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,
  ...
)

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.

Value

ggplot scale_fill function for discrete colours.

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

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