stat_color
computes colour definitions according to human vision.
Usage
stat_color(
mapping = NULL,
data = NULL,
geom = "point",
position = "identity",
...,
chroma.type = "CMF",
x.colour.transform = I,
na.rm = FALSE,
show.legend = FALSE,
inherit.aes = TRUE
)
Arguments
- mapping
The aesthetic mapping, usually constructed with
aes
oraes_
. Only needs to be set at the layer level if you are overriding the plot defaults.- data
A layer specific dataset - only needed if you want to override the plot defaults.
- geom
The geometric object to use display the data
- position
The position adjustment to use for overlapping points on this layer
- ...
other arguments passed on to
layer
. This can include aesthetics whose values you want to set, not map. Seelayer
for more details.- chroma.type
character one of "CMF" (color matching function) or "CC" (color coordinates) or a
chroma_spct
object.- x.colour.transform
function Applied to
x
values before computing matching colours.- na.rm
a logical value indicating whether NA values should be stripped before the computation proceeds.
- show.legend
logical. Should this layer be included in the legends?
NA
, the default, includes if any aesthetics are mapped.FALSE
never includes, andTRUE
always includes.- inherit.aes
If
FALSE
, overrides the default aesthetics, rather than combining with them. This is most useful for helper functions that define both data and aesthetics and shouldn't inherit behaviour from the default plot specification, e.g.borders
.
Details
For each row in data
a colour definition is computed assuming
that after transformation with x.colour.transform()
the values in
x
are wavelengths expressed in nanometres.
Required aesthetics
Required by the statistic and need to be set with aes()
.
- x
numeric, wavelength in nanometres
- y
numeric, a spectral quantity
See also
color_of
, which is used internally.
Other stats functions:
stat_find_qtys()
,
stat_find_wls()
,
stat_label_peaks()
,
stat_peaks()
,
stat_spikes()
,
stat_wb_box()
,
stat_wb_column()
,
stat_wb_contribution()
,
stat_wb_hbar()
,
stat_wb_irrad()
,
stat_wb_label()
,
stat_wb_mean()
,
stat_wb_relative()
,
stat_wb_sirrad()
,
stat_wb_total()
,
stat_wl_strip()
,
stat_wl_summary()
Examples
ggplot(sun.spct) +
geom_line() +
stat_color() +
scale_color_identity()
ggplot(sun.spct) +
geom_line() +
stat_color(x.colour.transform = function(x) {-x}) +
scale_color_identity() +
scale_x_reverse()
ggplot(sun.spct) +
geom_line() +
stat_color(x.colour.transform = function(x) {10^x}) +
scale_color_identity() +
scale_x_log10()