ggspectra (version 0.3.13)

stat_wb_mean: Integrate ranges under curve.

Description

stat_wb_mean computes means under a curve. It first integrates the area under a spectral curve and also the mean expressed per nanaometre of wavelength for each waveband in the input. Sets suitable default aesthetics for "rect", "hline", "vline", "text" and "label" geoms.

Usage

stat_wb_mean(
  mapping = NULL,
  data = NULL,
  geom = "text",
  w.band = NULL,
  integral.fun = integrate_xy,
  label.mult = 1,
  chroma.type = "CMF",
  label.fmt = "%.3g",
  ypos.mult = 1.07,
  xpos.fixed = NULL,
  ypos.fixed = NULL,
  position = "identity",
  na.rm = FALSE,
  show.legend = NA,
  inherit.aes = TRUE,
  ...
)

Value

A data frame with one row for each waveband object in the argument to w.band. Wavebeand outside the range of the spectral data are trimmed or discarded.

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 layer specific dataset - only needed if you want to override the plot defaults.

geom

The geometric object to use display the data

w.band

a waveband object or a list of waveband objects or numeric vector of at least length two.

integral.fun

function on $x$ and $y$.

label.mult

numeric Scaling factor applied to y-integral values before conversion into character strings.

chroma.type

character one of "CMF" (color matching function) or "CC" (color coordinates) or a chroma_spct object.

label.fmt

character string giving a format definition for converting y-integral values into character strings by means of function sprintf.

ypos.mult

numeric Multiplier constant used to scale returned y values.

xpos.fixed, ypos.fixed

numeric If not NULL used as constant value returned in x or y.

position

The position adjustment to use for overlapping points on this layer

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? 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.

Computed variables

What it is named integral below is the result of appying integral.fun, with default integrate_xy.

y.label

ymean multiplied by label.mult and formatted according to label.fmt

x

w.band-midpoint

wb.xmin

w.band minimum

wb.xmax

w.band maximum

wb.ymin

data$y minimum

wb.ymax

data$y maximum

wb.yint

data$y integral for the range of w.band

wb.xmean

yint divided by wl_expanse(w.band)

y

ypos.fixed or top of data, adjusted by ypos.mult

wb.color

color of the w.band

wb.name

label of w.band

BW.color

black_or_white(wb.color)

Default aesthetics

Set by the statistic and available to geoms.

label

..y.label..

x

..x..

xmin

..wb.xmin..

xmax

..wb.xmax..

ymin

0

ymax

..wb.ymean..

yintercept

..wb.ymean..

fill

..wb.color..

Required aesthetics

Required by the statistic and need to be set with aes().

x

numeric, wavelength in nanometres

y

numeric, a spectral quantity

See Also

Other stats functions: stat_color(), 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_relative(), stat_wb_sirrad(), stat_wb_total(), stat_wl_strip(), stat_wl_summary()

Examples

library(photobiologyWavebands)
# ggplot() methods for spectral objects set a default mapping for x and y.

# Using defaults
ggplot(sun.spct) +
  stat_wb_column(w.band = VIS_bands()) +
  stat_wb_mean(w.band = VIS_bands(),
               color = "black") +
  scale_fill_identity() + scale_color_identity()

# Setting format for numbers, position, angle, and color
ggplot(sun.spct) +
  stat_wb_column(w.band = VIS_bands(), alpha = 0.5) +
  stat_wb_mean(w.band = VIS_bands(),
               label.fmt = "%.2f",
               angle = 90, color = "black", ypos.fixed = 0.1) +
  geom_line() +
  scale_fill_identity() + scale_color_identity() +
  theme_bw()

# Changing label mapping
ggplot(sun.spct) +
  stat_wb_column(w.band = VIS_bands(), alpha = 0.5) +
  stat_wb_mean(w.band = VIS_bands(),
               label.fmt = "%.2f",
               angle = 90, color = "black", ypos.fixed = 0.1,
               hjust = "left", size = 3,
               mapping = aes(label = after_stat(paste(wb.name, ": ", y.label, sep = "")))) +
  geom_line() +
  scale_fill_identity() + scale_color_identity() +
  theme_bw()

# example using repulsion
library(ggrepel)
ggplot(sun.spct) +
  geom_line() +
  stat_wb_hbar(w.band = VIS_bands(), size = 1.5) +
  stat_wb_mean(w.band = VIS_bands(),
               geom = "label_repel", nudge_y = +0.04, size = 3,
               segment.colour = NA, label.size = NA) +
  expand_limits(y = 0.9) +
  scale_fill_identity() + scale_color_identity() +
  theme_bw()