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#' Integrate spectral irradiance for wavebands.
#'
#' \code{stat_wb_sirrad} computes areas under a curve.
#'
#' @param mapping The aesthetic mapping, usually constructed with
#' \code{\link[ggplot2]{aes}} or \code{\link[ggplot2]{aes_}}. Only needs
#' to be set at the layer level if you are overriding the plot defaults.
#' @param data A layer specific dataset - only needed if you want to override
#' the plot defaults.
#' @param geom The geometric object to use display the data
#' @param position The position adjustment to use for overlapping points on this
#' layer
#' @param show.legend logical. Should this layer be included in the legends?
#' \code{NA}, the default, includes if any aesthetics are mapped. \code{FALSE}
#' never includes, and \code{TRUE} always includes.
#' @param inherit.aes If \code{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. \code{\link[ggplot2]{borders}}.
#' @param ... other arguments passed on to \code{\link[ggplot2]{layer}}. This
#' can include aesthetics whose values you want to set, not map. See
#' \code{\link[ggplot2]{layer}} for more details.
#' @param na.rm a logical value indicating whether NA values should be stripped
#' before the computation proceeds.
#' @param w.band a waveband object or a list of waveband objects or numeric
#' vector of at least length two.
#' @param unit.in character One of "photon","quantum" or "energy"
#' @param time.unit character or lubridate::duration
#' @param label.qty character
#' @param label.mult numeric Scaling factor applied to y-integral values before
#' conversion into character strings.
#' @param chroma.type character one of "CMF" (color matching function) or "CC"
#' (color coordinates) or a \code{\link[photobiology]{chroma_spct}} object.
#' @param label.fmt character string giving a format definition for converting
#' y-integral values into character strings by means of function
#' \code{\link{sprintf}}.
#' @param ypos.mult numeric Multiplier constant used to scale returned
#' \code{y} values.
#' @param xpos.fixed,ypos.fixed numeric If not \code{NULL} used a constant value returned
#' in \code{x} or \code{y}.
#'
#' @return A data frame with one row for each waveband object in the argument
#' to \code{w.band}. Wavebeand outside the range of the spectral data are
#' trimmed or discarded.
#'
#' @section Computed variables:
#' What it is named integral below is the result of appying \code{irrad},
#' \code{e_irrad} or \code{q_irrad} to the data.
#' \describe{
#' \item{y.label}{yeff multiplied by \code{label.mult} and formatted
#' according to \code{label.fmt}}
#' \item{x}{w.band-midpoint}
#' \item{wb.xmin}{w.band minimum}
#' \item{wb.xmax}{w.band maximum}
#' \item{wb.ymin}{data$y minimum}
#' \item{wb.ymax}{data$y maximum}
#' \item{wb.yeff}{weighted irradiance if \code{w.band} describes a BSWF}
#' \item{wb.yint}{not weighted irradiance for the range of \code{w.band}}
#' \item{wb.xmean}{yint divided by wl_expanse(w.band)}
#' \item{y}{ypos.fixed or top of data, adjusted by \code{ypos.mult}}
#' \item{wb.color}{color of the w.band}
#' \item{wb.name}{label of w.band}
#' \item{BW.color}{\code{black_or_white(wb.color)}}
#' }
#'
#' @section Default aesthetics:
#' Set by the statistic and available to geoms.
#' \describe{
#' \item{label}{..y.label..}
#' \item{x}{..x..}
#' \item{xmin}{..wb.xmin..}
#' \item{xmax}{..wb.xmax..}
#' \item{ymin}{0}
#' \item{ymax}{..wb.ymean..}
#' \item{yintercept}{..wb.ymean..}
#' \item{fill}{..wb.color..}
#' }
#'
#' @section Required aesthetics:
#' Required by the statistic and need to be set with \code{aes()}.
#' \describe{
#' \item{x}{numeric, wavelength in nanometres}
#' \item{y}{numeric, a spectral quantity}
#' }
#'
#' @examples
#'
#' library(photobiologyWavebands)
#' # ggplot() methods for spectral objects set a default mapping for x and y.
#' ggplot(sun.spct) +
#' stat_wb_column(w.band = VIS_bands()) +
#' stat_wb_e_sirrad(w.band = VIS_bands(), angle = 90, size = 4,
#' label.fmt = "%1.2f", ypos.fixed = 0.1) +
#' geom_line() +
#' scale_fill_identity() + scale_color_identity()
#'
#' ggplot(sun.spct, unit.out = "photon") +
#' geom_line() +
#' stat_wb_hbar(w.band = PAR(), size = 1) +
#' stat_wb_q_sirrad(aes(color = ..wb.color..),
#' w.band = PAR(), label.fmt = "mean = %.3g",
#' ypos.mult = 1, xpos.fixed = 390, hjust = 1) +
#' scale_color_identity()
#'
#' @export
#' @family stats functions
#'
stat_wb_sirrad <- function(mapping = NULL, data = NULL, geom = "text",
w.band = NULL,
time.unit,
unit.in,
label.qty = "mean",
label.mult = 1,
chroma.type = "CMF",
label.fmt = "%.3g",
ypos.mult = 0.55,
xpos.fixed = NULL,
ypos.fixed = NULL,
position = "identity", na.rm = FALSE, show.legend = NA,
inherit.aes = TRUE, ...) {
ggplot2::layer(
stat = StatWbSIrrad, data = data, mapping = mapping, geom = geom,
position = position, show.legend = show.legend, inherit.aes = inherit.aes,
params = list(w.band = w.band,
time.unit = time.unit,
unit.in = unit.in,
label.qty = label.qty,
label.mult = label.mult,
chroma.type = chroma.type,
label.fmt = label.fmt,
ypos.mult = ypos.mult,
xpos.fixed = xpos.fixed,
ypos.fixed = ypos.fixed,
na.rm = na.rm,
...)
)
}
#' @rdname stat_wb_sirrad
#' @export
stat_wb_e_sirrad <- function(mapping = NULL, data = NULL, geom = "text",
w.band = NULL,
time.unit = "second",
unit.in = "energy",
label.qty = "mean",
label.mult = 1,
chroma.type = "CMF",
label.fmt = "%.3g",
ypos.mult = 0.55,
xpos.fixed = NULL,
ypos.fixed = NULL,
position = "identity", na.rm = FALSE, show.legend = NA,
inherit.aes = TRUE, ...) {
ggplot2::layer(
stat = StatWbSIrrad, data = data, mapping = mapping, geom = geom,
position = position, show.legend = show.legend, inherit.aes = inherit.aes,
params = list(w.band = w.band,
time.unit = time.unit,
unit.in = unit.in,
label.qty = label.qty,
label.mult = label.mult,
chroma.type = chroma.type,
label.fmt = label.fmt,
ypos.mult = ypos.mult,
xpos.fixed = xpos.fixed,
ypos.fixed = ypos.fixed,
na.rm = na.rm,
...)
)
}
#' @rdname stat_wb_sirrad
#' @export
stat_wb_q_sirrad <- function(mapping = NULL, data = NULL, geom = "text",
w.band = NULL,
time.unit = "second",
unit.in = "photon",
label.qty = "mean",
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, ...) {
ggplot2::layer(
stat = StatWbSIrrad, data = data, mapping = mapping, geom = geom,
position = position, show.legend = show.legend, inherit.aes = inherit.aes,
params = list(w.band = w.band,
time.unit = time.unit,
unit.in = unit.in,
label.qty = label.qty,
label.mult = label.mult,
chroma.type = chroma.type,
label.fmt = label.fmt,
ypos.mult = ypos.mult,
xpos.fixed = xpos.fixed,
ypos.fixed = ypos.fixed,
na.rm = na.rm,
...)
)
}
#' @rdname gg2spectra-ggproto
#' @format NULL
#' @usage NULL
#' @export
StatWbSIrrad <-
ggplot2::ggproto("StatWbSIrrad", ggplot2::Stat,
compute_group = function(data,
scales,
w.band,
time.unit,
unit.in,
label.qty,
label.mult,
chroma.type,
label.fmt,
ypos.mult,
xpos.fixed,
ypos.fixed) {
if (length(w.band) == 0) {
w.band <- waveband(data[["x"]])
}
if (is.any_spct(w.band) ||
(is.numeric(w.band) && length(stats::na.omit(w.band)) >= 2)) {
w.band <- waveband(range(w.band, na.rm = TRUE))
}
if (!is.list(w.band) || is.waveband(w.band)) {
w.band <- list(w.band)
}
w.band <- trim_wl(w.band, data[["x"]])
if (unit.in == "energy") {
tmp.spct <- source_spct(w.length = data[["x"]], s.e.irrad = data[["y"]],
time.unit = time.unit)
} else if (unit.in %in% c("photon", "quantum")) {
tmp.spct <- source_spct(w.length = data[["x"]], s.q.irrad = data[["y"]],
time.unit = time.unit)
} else {
stop("Bad 'unit.in' argument.")
}
integ.df <- data.frame()
for (wb in w.band) {
if (is.numeric(wb)) { # user supplied a list of numeric vectors
wb <- waveband(wb)
}
yeff.tmp <- irrad(tmp.spct, wb, quantity = label.qty,
use.hinges = TRUE,
unit.out = unit.in)
yint.tmp <- irrad(tmp.spct, waveband(range(wb)), quantity = "total",
use.hinges = TRUE,
unit.out = unit.in)
ymean.tmp <- irrad(tmp.spct, waveband(range(wb)), quantity = "mean",
use.hinges = TRUE,
unit.out = unit.in)
integ.df <- rbind(integ.df,
data.frame(x = midpoint(wb),
wb.xmin = min(wb),
wb.xmax = max(wb),
wb.yeff = yeff.tmp,
wb.yint = yint.tmp,
wb.ymax = max(data[["y"]]),
wb.ymin = min(data[["y"]]),
wb.ymean = ymean.tmp,
wb.color = fast_color_of_wb(wb, chroma.type = chroma.type),
wb.name = labels(wb)[["label"]],
BW.color = black_or_white(fast_color_of_wb(wb, chroma.type = chroma.type)))
)
}
if (!is.null(xpos.fixed)) {
integ.df[["x"]] <- xpos.fixed
}
if (is.null(ypos.fixed)) {
integ.df[["y"]] <- with(integ.df, wb.ymin + (wb.ymean - wb.ymin) * ypos.mult)
} else {
integ.df[["y"]] <- ypos.fixed
}
# we need to avoid too many digits after decimal point
# we apply the format after rounding
digits <- 5 - floor(log10(max(integ.df[["wb.yeff"]])))
integ.df[["y.label"]] <-
sprintf(label.fmt, round(integ.df[["wb.yeff"]], digits) * label.mult)
integ.df
},
default_aes = ggplot2::aes(label = after_stat(y.label),
xmin = after_stat(wb.xmin),
xmax = after_stat(wb.xmax),
ymin = 0,
ymax = after_stat(wb.ymean),
yintercept = after_stat(wb.ymean),
fill = after_stat(wb.color),
color = after_stat(BW.color)),
required_aes = c("x", "y")
)
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