A method to compute the mean of values across members of a collections of spectra. Computes the mean at each wavelength across all the spectra in the collection returning a spectral object.
s_mean(x, trim, na.rm, ...)# S3 method for default
s_mean(x, trim = 0, na.rm = FALSE, ...)
# S3 method for source_mspct
s_mean(x, trim = 0, na.rm = FALSE, ...)
# S3 method for response_mspct
s_mean(x, trim = 0, na.rm = FALSE, ...)
# S3 method for filter_mspct
s_mean(x, trim = 0, na.rm = FALSE, ...)
# S3 method for reflector_mspct
s_mean(x, trim = 0, na.rm = FALSE, ...)
# S3 method for calibration_mspct
s_mean(x, trim = 0, na.rm = FALSE, ...)
# S3 method for cps_mspct
s_mean(x, trim = 0, na.rm = FALSE, ...)
# S3 method for raw_mspct
s_mean(x, trim = 0, na.rm = FALSE, ...)
If x is a collection spectral of objects, such as a
"filter_mspct" object, the returned object is of same class as the
members of the collection, such as "filter_spct", containing the mean
spectrum.
An R object Currently this package defines methods for collections of spectral objects.
numeric The fraction (0 to 0.5) of observations to be trimmed from each end of x before the mean is computed. Values of trim outside that range are taken as the nearest endpoint.
logical A value indicating whether NA values should be stripped before the computation proceeds.
Further arguments passed to or from other methods.
s_mean(default):
s_mean(source_mspct):
s_mean(response_mspct):
s_mean(filter_mspct):
s_mean(reflector_mspct):
s_mean(calibration_mspct):
s_mean(cps_mspct):
s_mean(raw_mspct):