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#' Range of a collection of spectra
#'
#' Method to compute the "parallel" range of values across members of a
#' collection of spectra or of a spectral object containing multiple spectra in
#' long form.
#'
#' @details Method specializations compute the range at each wavelength across a
#' group of spectra stored in an object of one of the classes defined in
#' package 'photobiology'. Omission of NAs is done
#' separately at each wavelength. Interpolation is not applied, so all spectra
#' in \code{x} must share the same set of wavelengths. An error is triggered
#' if this condition is nor fulfilled.
#'
#' @param x An R object. Currently this package defines methods for collections of
#' spectral objects.
#' @param na.rm logical. A value indicating whether NA values should be stripped
#' before the computation proceeds.
#' @param ... Further arguments passed to or from other methods.
#'
#' @return If \code{x} is a collection spectral of objects, such as a
#' \code{"filter_mspct"} object, the returned object is of same class as the
#' members of the collection, such as \code{"filter_spct"}, containing the
#' summary spectrum, with variables with names tagged for summaries other
#' than mean or median.
#'
#' @note Objects of classes \code{raw_spct} and \code{cps_spct} can contain data
#' from multiple scans in multiple variables or "columns". The methods accept
#' as arguments objects of these classes only if spectra contain data for a
#' single spectrometer scan. In the case of \code{cps_spct} objects, a single
#' column can also contain data from multiple scans spliced into a single
#' variable.
#'
#' @seealso See \code{\link[base]{Extremes}} details on the \code{min()} and
#' \code{max()} methods used for the computations.
#'
#' @export
#'
#' @examples
#' s_range(sun_evening.mspct)
#'
s_range <- function(x, na.rm, ...)
UseMethod("s_range")
#' @describeIn s_range
#'
#' @export
#'
s_range.default <- function(x, na.rm = FALSE, ...) {
warning("Metod 's_range()' not implementd for objects of class ",
class(x)[1],
".")
ifelse(is.any_mspct(x), generic_spct(), NA)
}
#' @describeIn s_range
#'
#' @export
#'
s_range.generic_spct <- function(x, na.rm = FALSE, ...) {
s_range(subset2mspct(x), na.rm = na.rm, ...)
}
#' @describeIn s_range
#'
#' @export
#'
s_range.filter_mspct <- function(x, na.rm = FALSE, ...) {
rowwise_filter(
x,
.fun = c(base::min, base::max),
na.rm = na.rm,
col.name.tag = c(".min", ".max"),
.fun.name = "s_range of"
)
}
#' @describeIn s_range
#'
#' @export
#'
s_range.source_mspct <- function(x, na.rm = FALSE, ...) {
rowwise_source(
x,
.fun = c(base::min, base::max),
na.rm = na.rm,
col.name.tag = c(".min", ".max"),
.fun.name = "s_range of"
)
}
#' @describeIn s_range
#'
#' @export
#'
s_range.response_mspct <- function(x, na.rm = FALSE, ...) {
rowwise_response(
x,
.fun = c(base::min, base::max),
na.rm = na.rm,
col.name.tag = c(".min", ".max"),
.fun.name = "s_range of"
)
}
#' @describeIn s_range
#'
#' @export
#'
s_range.reflector_mspct <- function(x, na.rm = FALSE, ...) {
rowwise_reflector(
x,
.fun = c(base::min, base::max),
na.rm = na.rm,
col.name.tag = c(".min", ".max"),
.fun.name = "s_range of"
)
}
#' @describeIn s_range
#'
#' @export
#'
s_range.calibration_mspct <- function(x, na.rm = FALSE, ...) {
rowwise_calibration(
x,
.fun = c(base::min, base::max),
na.rm = na.rm,
col.name.tag = c(".min", ".max"),
.fun.name = "s_range of"
)
}
#' @describeIn s_range
#'
#' @export
#'
s_range.cps_mspct <- function(x, na.rm = FALSE, ...) {
rowwise_cps(
x,
.fun = c(base::min, base::max),
na.rm = na.rm,
col.name.tag = c(".min", ".max"),
.fun.name = "s_range of"
)
}
#' @describeIn s_range
#'
#' @export
#'
s_range.raw_mspct <- function(x, na.rm = FALSE, ...) {
rowwise_raw(
x,
.fun = c(base::min, base::max),
na.rm = na.rm,
col.name.tag = c(".min", ".max"),
.fun.name = "s_range of"
)
}
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