| s_var | R Documentation |
Method to compute the "parallel" variance of values across members of a collections of spectra or of a spectral object containing multiple spectra in long form.
s_var(x, na.rm, ...)
## Default S3 method:
s_var(x, na.rm = FALSE, ...)
## S3 method for class 'generic_spct'
s_var(x, na.rm = FALSE, ...)
## S3 method for class 'filter_mspct'
s_var(x, na.rm = FALSE, ...)
## S3 method for class 'source_mspct'
s_var(x, na.rm = FALSE, ...)
## S3 method for class 'response_mspct'
s_var(x, na.rm = FALSE, ...)
## S3 method for class 'reflector_mspct'
s_var(x, na.rm = FALSE, ...)
## S3 method for class 'calibration_mspct'
s_var(x, na.rm = FALSE, ...)
## S3 method for class 'cps_mspct'
s_var(x, na.rm = FALSE, ...)
## S3 method for class 'raw_mspct'
s_var(x, na.rm = FALSE, ...)
x |
An R object. |
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 variance 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.
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.
Objects of classes raw_spct and cps_spct can contain data
from multiple scans in multiple variables or "columns". The parallel
summaries' 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 cor for details about var(),
which is used for the computations.
s_var(sun_evening.mspct)
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