Method to compute the "parallel" mean and limits based on SEM. The spectral values are summarised across members of a collection of spectra or of a spectral object containing multiple spectra in long form.
s_mean_se_band(x, na.rm, mult, ...)# S3 method for default
s_mean_se_band(x, na.rm = FALSE, mult = 1, ...)
# S3 method for generic_spct
s_mean_se_band(x, na.rm = FALSE, mult = 1, ...)
# S3 method for filter_mspct
s_mean_se_band(x, na.rm = FALSE, mult = 1, ...)
# S3 method for source_mspct
s_mean_se_band(x, na.rm = FALSE, mult = 1, ...)
# S3 method for response_mspct
s_mean_se_band(x, na.rm = FALSE, mult = 1, ...)
# S3 method for reflector_mspct
s_mean_se_band(x, na.rm = FALSE, mult = 1, ...)
# S3 method for calibration_mspct
s_mean_se_band(x, na.rm = FALSE, mult = 1, ...)
# S3 method for cps_mspct
s_mean_se_band(x, na.rm = FALSE, mult = 1, ...)
# S3 method for raw_mspct
s_mean_se_band(x, na.rm = FALSE, mult = 1, ...)
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
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.
numeric number of multiples of standard error.
Further arguments passed to or from other methods.
s_mean_se_band(default):
s_mean_se_band(generic_spct):
s_mean_se_band(filter_mspct):
s_mean_se_band(source_mspct):
s_mean_se_band(response_mspct):
s_mean_se_band(reflector_mspct):
s_mean_se_band(calibration_mspct):
s_mean_se_band(cps_mspct):
s_mean_se_band(raw_mspct):
Method specializations compute the mean and limits based on SEM 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. The value passed as argument to `mult`
can be used to estimate a confidence interval for each mean value.
s_mean_se_band(sun_evening.mspct)
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