Method to compute the "parallel" standard deviation of values across members of a collection of spectra or of a spectral object containing multiple spectra in long form.
s_sd(x, na.rm, ...)# S3 method for default
s_sd(x, na.rm = FALSE, ...)
# S3 method for generic_spct
s_sd(x, na.rm = FALSE, ...)
# S3 method for filter_mspct
s_sd(x, na.rm = FALSE, ...)
# S3 method for source_mspct
s_sd(x, na.rm = FALSE, ...)
# S3 method for response_mspct
s_sd(x, na.rm = FALSE, ...)
# S3 method for reflector_mspct
s_sd(x, na.rm = FALSE, ...)
# S3 method for calibration_mspct
s_sd(x, na.rm = FALSE, ...)
# S3 method for cps_mspct
s_sd(x, na.rm = FALSE, ...)
# S3 method for raw_mspct
s_sd(x, na.rm = FALSE, ...)
If x is a collection spectral of objects, such as a
"filter_mspct" object, the returned object belongs to the same class
as the members of the collection, such as "filter_spct", containing
the summary spectrum, with variables with names tagged for summaries other
than mean or median.
An R object.
logical A value indicating whether NA values should be stripped before the computation proceeds.
Further arguments passed to or from other methods.
Method specializations compute the standard deviation 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 nor fulfilled.