For each continuous x value, geom_spct displays a y interval.
geom_spct is a special case of geom_area, where the minimum of
the range is fixed to 0, but stacking is not enabled.
Usage
geom_spct(mapping = NULL, data = NULL, stat = "identity",
position = "identity", na.rm = FALSE, show.legend = NA,
inherit.aes = TRUE, ...)
Arguments
mapping
The aesthetic mapping, usually constructed with
aes or aes_. Only needs
to be set at the layer level if you are overriding the plot defaults.
data
A data frame. If specified, overrides the default data frame
defined at the top level of the plot.
stat
The statistical transformation to use on the data for this layer,
as a string.
position
Position adjustment, either as a string, or the result of a
call to a position adjustment function.
na.rm
If FALSE (the default), removes missing values with a warning.
If TRUE silently removes missing values.
show.legend
logical. Should this layer be included in the legends?
NA, the default, includes if any aesthetics are mapped. FALSE
never includes, and TRUE 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.
...
other arguments passed on to layer. This
can include aesthetics whose values you want to set, not map. See
layer for more details.
An spectrum plot is the analog of a line plot (see geom_path),
and can be used to show y varies over the range of x. The difference is that
the area under the line is filled.
# NOT RUN {library(ggplot2)
library(photobiology)
# ggplot() methods for spectral objects set a default mapping for x and y.ggplot(sun.spct) + geom_spct()
# }