ggspectra (version 0.3.1)

ggplot: Create a new ggplot plot from spectral data.

Description

ggplot() initializes a ggplot object. It can be used to declare the input spectral object for a graphic and to optionally specify the set of plot aesthetics intended to be common throughout all subsequent layers unless specifically overridden.

Usage

# S3 method for source_spct
ggplot(data, mapping = NULL, ..., range = NULL,
  unit.out = getOption("photobiology.radiation.unit", default =
  "energy"), environment = parent.frame())
# S3 method for response_spct
ggplot(data, mapping = NULL, ..., range = NULL,
  unit.out = getOption("photobiology.radiation.unit", default =
  "energy"), environment = parent.frame())
# S3 method for filter_spct
ggplot(data, mapping = NULL, ..., range = NULL,
  plot.qty = getOption("photobiology.filter.qty", default =
  "transmittance"), environment = parent.frame())
# S3 method for reflector_spct
ggplot(data, mapping = NULL, ...,
  range = NULL, plot.qty = NULL, environment = parent.frame())
# S3 method for cps_spct
ggplot(data, mapping = NULL, ..., range = NULL,
  environment = parent.frame())
# S3 method for calibration_spct
ggplot(data, mapping = NULL, ...,
  range = NULL, environment = parent.frame())
# S3 method for raw_spct
ggplot(data, mapping = NULL, ..., range = NULL,
  environment = parent.frame())
# S3 method for object_spct
ggplot(data, mapping = NULL, ..., range = NULL,
  plot.qty = getOption("photobiology.object.qty", default = "all"),
  environment = parent.frame())
# S3 method for generic_mspct
ggplot(data, mapping = NULL, ..., range = NULL,
  environment = parent.frame())

Arguments

data

Default spectrum dataset to use for plot. If not a spectrum, the methods used will be those defined in package ggplot2. See ggplot. If not specified, must be suppled in each layer added to the plot.

mapping

Default list of aesthetic mappings to use for plot. If not specified, in the case of spectral objects, a default mapping will be used.

...

Other arguments passed on to methods.

range

an R object on which range() returns a vector of length 2, with min annd max wavelengths (nm).

unit.out

character string indicating type of units to use for plotting spectral irradiance or spectral response, "photon" or "energy".

environment

If a variable defined in the aesthetic mapping is not found in the data, ggplot will look for it in this environment. It defaults to using the environment in which ggplot() is called.

plot.qty

character string one of "transmittance" or "absorbance" for filter_spct, and one of "transmittance", "reflectance" or "all" for object_spct.

Collections of spectra

The method for collections of spectra accepts arguments for the same parameters as the corresponding methods for single spectra. Heterogeneous generic collections of spectra are not supported. When plotting collections of spectra the factor spct.idx contains as levels the names of the individual members of the collection, and can be mapped to aesthetics or used for faceting.

Details

ggplot() is typically used to construct a plot incrementally, using the + operator to add layers to the existing ggplot object. This is advantageous in that the code is explicit about which layers are added and the order in which they are added. For complex graphics with multiple layers, initialization with ggplot is recommended.

We show seven common ways to invoke ggplot for spectra and collections of spectra:

• ggplot(spct)

• ggplot(spct, unit.out = <unit.to.use>)

• ggplot(spct, plot.qty = <quantity.to.plot>)

• ggplot(spct, range = <wavelength.range>)

• ggplot(spct) + aes(<other aesthetics>)

• ggplot(spct, aes(x, y, <other aesthetics>))

• ggplot(spct, aes())

The first method is recommended if all layers use the same data and the same set of automatic default x and y aesthetics. The second, third and fourth use automatic default x and y aesthetics but first transform or trim the spectral data to be plotted. The fifth uses automatic default x and y aesthetics and adds mappings for other aesthetics. These patterns can be combined as needed. The sixth disables the use of a default automatic mapping, while the seventh delays the mapping of aesthetics and can be convenient when using different mappings for different geoms.

Examples

# NOT RUN {
library(photobiology)
library(ggplot2)
ggplot(sun.spct) + geom_line()
ggplot(sun.spct, unit.out = "photon") + geom_line()

ggplot(yellow_gel.spct) + geom_line()
ggplot(yellow_gel.spct, plot.qty = "absorbance") + geom_line()

ggplot(Ler_leaf.spct) + facet_grid(~variable) + geom_line()
ggplot(Ler_leaf.spct) + aes(linetype = variable) + geom_line()

# }