Method to compute the "parallel" quantiles of values across members of a collection of spectra or of a spectral object containing multiple spectra in long form.
s_quantile(x, probs, na.rm, ...)# S3 method for default
s_quantile(x, probs = NA, na.rm = FALSE, ...)
# S3 method for generic_spct
s_quantile(x, probs = c(0.25, 0.5, 0.75), na.rm = FALSE, ..., simplify = TRUE)
# S3 method for source_mspct
s_quantile(x, probs = c(0.25, 0.5, 0.75), na.rm = FALSE, ..., simplify = TRUE)
# S3 method for response_mspct
s_quantile(x, probs = c(0.25, 0.5, 0.75), na.rm = FALSE, ..., simplify = TRUE)
# S3 method for filter_mspct
s_quantile(x, probs = c(0.25, 0.5, 0.75), na.rm = FALSE, ..., simplify = TRUE)
# S3 method for reflector_mspct
s_quantile(x, probs = c(0.25, 0.5, 0.75), na.rm = FALSE, ..., simplify = TRUE)
# S3 method for calibration_mspct
s_quantile(x, probs = c(0.25, 0.5, 0.75), na.rm = FALSE, ..., simplify = TRUE)
# S3 method for cps_mspct
s_quantile(x, probs = c(0.25, 0.5, 0.75), na.rm = FALSE, ..., simplify = TRUE)
# S3 method for raw_mspct
s_quantile(x, probs = c(0.25, 0.5, 0.75), na.rm = FALSE, ..., simplify = TRUE)
If x is a collection spectral of objects, such as a
"filter_mspct" object, the returned object is of same class as the
the collection, such as "filter_mspct", containing one member
summary spectrum for each value in probs with the same variable
names as in the input. If a single quantile is computed and simplify
= TRUE a single spectrum such as "filter_spct" is returned.
An R object.
numeric vector of probabilities with values in \([0, 1]\).
logical A value indicating whether NA values should be stripped before the computation proceeds.
Further arguments passed to or from other methods.
logical If TRUE and a single quantile is computed,
return an spectrum by itself instead of as a single member of a collection.
Parallel summaries differ fundamentally from the "deepest curves" obtained through functional data analysis (FDA) in that in functional data analysis one of the input curves is returned as the deepest one based on a decision criterion. In contrast the parallel summaries from package 'photobioloy' return one or more "fictional" curves different to any of those passed as inputs. This curve is constructed from independent summaries at each wavelength value.
Method specializations compute the qunatiles 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 x must
share the same set of wavelengths. An error is triggered if this condition
is not fulfilled.
See quantile for the quantile method
used for the computations. Additional arguments can be passed by name to
be forwarded to quantile.