R: Spectral data plots.

geom_spct {ggspectra}

R Documentation

Spectral data plots.

Description

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.

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.

Aesthetics

See geom_ribbon

Examples

library(ggplot2)
library(photobiology)
# ggplot() methods for spectral objects set a default mapping for x and y.
ggplot(sun.spct) + geom_spct()

[Package ggspectra version 0.2.3 Index]