Colour and fill scales from the ggseg atlases

The `brain` palette scales provides scales for the different atlases in the package. Colours are according to the colours used in the papers where the atlases where first introduced.

scale_brain2(
  palette,
  na.value = "grey",
  ...,
  aesthetics = c("fill", "colour", "color")
)

scale_colour_brain2(...)

scale_color_brain2(...)

scale_fill_brain2(...)

Arguments

palette

named character vector of regions and colours

na.value

String name or hex for the colour of NA entries

...

additional arguments to pass to brain_pal

aesthetics

String vector of which aesthetics to scale c("colour", "color", "fill").

Value

scaling function for altering colour of ggplot aesthetics

Palettes

The following palettes are available for use with these scales:

ggseg -

dk, aseg

ggsegExtra -

tracula, jhu, yeo7, yeo17, glasser, chenAr, chenTh,

Examples

scale_brain()
#> <ggproto object: Class ScaleDiscrete, Scale, gg>
#>     aesthetics: fill
#>     axis_order: function
#>     break_info: function
#>     break_positions: function
#>     breaks: waiver
#>     call: call
#>     clone: function
#>     dimension: function
#>     drop: TRUE
#>     expand: waiver
#>     get_breaks: function
#>     get_breaks_minor: function
#>     get_labels: function
#>     get_limits: function
#>     guide: legend
#>     is_discrete: function
#>     is_empty: function
#>     labels: waiver
#>     limits: function
#>     make_sec_title: function
#>     make_title: function
#>     map: function
#>     map_df: function
#>     n.breaks.cache: NULL
#>     na.translate: TRUE
#>     na.value: grey
#>     name: waiver
#>     palette: function
#>     palette.cache: NULL
#>     position: left
#>     range: <ggproto object: Class RangeDiscrete, Range, gg>
#>         range: NULL
#>         reset: function
#>         train: function
#>         super:  <ggproto object: Class RangeDiscrete, Range, gg>
#>     rescale: function
#>     reset: function
#>     scale_name: manual
#>     train: function
#>     train_df: function
#>     transform: function
#>     transform_df: function
#>     super:  <ggproto object: Class ScaleDiscrete, Scale, gg>
scale_colour_brain()
#> <ggproto object: Class ScaleDiscrete, Scale, gg>
#>     aesthetics: colour
#>     axis_order: function
#>     break_info: function
#>     break_positions: function
#>     breaks: waiver
#>     call: call
#>     clone: function
#>     dimension: function
#>     drop: TRUE
#>     expand: waiver
#>     get_breaks: function
#>     get_breaks_minor: function
#>     get_labels: function
#>     get_limits: function
#>     guide: legend
#>     is_discrete: function
#>     is_empty: function
#>     labels: waiver
#>     limits: function
#>     make_sec_title: function
#>     make_title: function
#>     map: function
#>     map_df: function
#>     n.breaks.cache: NULL
#>     na.translate: TRUE
#>     na.value: grey
#>     name: waiver
#>     palette: function
#>     palette.cache: NULL
#>     position: left
#>     range: <ggproto object: Class RangeDiscrete, Range, gg>
#>         range: NULL
#>         reset: function
#>         train: function
#>         super:  <ggproto object: Class RangeDiscrete, Range, gg>
#>     rescale: function
#>     reset: function
#>     scale_name: manual
#>     train: function
#>     train_df: function
#>     transform: function
#>     transform_df: function
#>     super:  <ggproto object: Class ScaleDiscrete, Scale, gg>
scale_fill_brain()
#> <ggproto object: Class ScaleDiscrete, Scale, gg>
#>     aesthetics: fill
#>     axis_order: function
#>     break_info: function
#>     break_positions: function
#>     breaks: waiver
#>     call: call
#>     clone: function
#>     dimension: function
#>     drop: TRUE
#>     expand: waiver
#>     get_breaks: function
#>     get_breaks_minor: function
#>     get_labels: function
#>     get_limits: function
#>     guide: legend
#>     is_discrete: function
#>     is_empty: function
#>     labels: waiver
#>     limits: function
#>     make_sec_title: function
#>     make_title: function
#>     map: function
#>     map_df: function
#>     n.breaks.cache: NULL
#>     na.translate: TRUE
#>     na.value: grey
#>     name: waiver
#>     palette: function
#>     palette.cache: NULL
#>     position: left
#>     range: <ggproto object: Class RangeDiscrete, Range, gg>
#>         range: NULL
#>         reset: function
#>         train: function
#>         super:  <ggproto object: Class RangeDiscrete, Range, gg>
#>     rescale: function
#>     reset: function
#>     scale_name: manual
#>     train: function
#>     train_df: function
#>     transform: function
#>     transform_df: function
#>     super:  <ggproto object: Class ScaleDiscrete, Scale, gg>