| stat_color | R Documentation |
stat_color computes colour definitions according to human vision.
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
)
mapping |
The aesthetic mapping, usually constructed with
|
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 |
chroma.type |
character one of "CMF" (color matching function) or "CC"
(color coordinates) or a |
x.colour.transform |
function Applied to |
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?
|
inherit.aes |
If |
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.
The original data frame with variable wl.color containing
colour definitions added.
color corresponding to x-value giving wavelength in nanometres.
Set by the statistic and available to geoms.
..wl.color..
..wl.color..
Required by the statistic and need to be set with aes().
numeric, wavelength in nanometres
numeric, a spectral quantity
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()
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()
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