s_mean | R Documentation |
Method to compute the "parallel" mean of values across members of a collection of spectra or of a spectral object containing multiple spectra in long form.
s_mean(x, trim, na.rm, ...)
## Default S3 method:
s_mean(x, trim = 0, na.rm = FALSE, ...)
## S3 method for class 'generic_spct'
s_mean(x, trim = 0, na.rm = FALSE, ...)
## S3 method for class 'source_mspct'
s_mean(x, trim = 0, na.rm = FALSE, ...)
## S3 method for class 'response_mspct'
s_mean(x, trim = 0, na.rm = FALSE, ...)
## S3 method for class 'filter_mspct'
s_mean(x, trim = 0, na.rm = FALSE, ...)
## S3 method for class 'reflector_mspct'
s_mean(x, trim = 0, na.rm = FALSE, ...)
## S3 method for class 'calibration_mspct'
s_mean(x, trim = 0, na.rm = FALSE, ...)
## S3 method for class 'cps_mspct'
s_mean(x, trim = 0, na.rm = FALSE, ...)
## S3 method for class 'raw_mspct'
s_mean(x, trim = 0, na.rm = FALSE, ...)
x |
An R object. |
trim |
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. |
na.rm |
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 mean at each wavelength across a
group of spectra stored in an object of one of the classes defined in
package 'photobiolgy'. Trimming of extreme values is
possible (trimmed mean) and 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.
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.
s_mean(default)
:
s_mean(generic_spct)
:
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)
:
Objects of classes raw_spct
and cps_spct
can contain data
from multiple scans in multiple variables or "columns". The methods accept
as arguments objects of these classes only if spectra contain data for a
single spectrometer scan. In the case of cps_spct
objects, a single
column can also contain data from multiple scans spliced into a single
variable.
See mean
for the mean()
method used for
the computations.
s_mean(sun_evening.mspct)
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