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.
geom_spct(
mapping = NULL,
data = NULL,
stat = "identity",
position = "identity",
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE,
...
)
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.
A data frame. If specified, overrides the default data frame defined at the top level of the plot.
The statistical transformation to use on the data for this layer, as a string.
Position adjustment, either as a string, or the result of a call to a position adjustment function.
If FALSE (the default), removes missing values with a warning. If TRUE silently removes missing values.
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.
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.
See geom_ribbon
An spectrum plot is the analog of a line plot (see geom_path
),
and can be used to show how y varies over the range of x. The difference is that
the area under the line is filled.
geom_ribbon
for stacked areas,
geom_path
for lines (lines),
geom_point
for scatter plots.
# ggplot() methods for spectral objects set a default mapping for x and y.
ggplot(sun.spct) + geom_spct()
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