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, ...)
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.
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.
default:
source_mspct:
response_mspct:
filter_mspct:
reflector_mspct:
calibration_mspct:
See mean for the mean() method used for
the computations.