s_var {photobiology} | R Documentation |
Variance of a collection of spectra
Description
A method to compute the variance of values across members of a collections of spectra. Computes the variance at each wavelength across all the spectra in the collection returning a spectral object.
Usage
s_var(x, na.rm, ...)
## Default S3 method:
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, ...)
Arguments
x |
An R object. Currently this package defines methods for collections of spectral objects. |
na.rm |
logical. A value indicating whether NA values should be stripped before the computation proceeds. |
... |
Further arguments passed to or from other methods. |
Details
Variance method for collections of spectra. Computes the variance at each wavelength across all the spectra in the collection.
Value
If x
is a collection spectral of objects, such as a
"filter_mspct" object, the returned object is of class "generic_spct",
containing the variance among the spectra at each wavelength
in a column with name ending in ".var".
Methods (by class)
-
s_var(default)
: -
s_var(filter_mspct)
: -
s_var(source_mspct)
: -
s_var(response_mspct)
: -
s_var(reflector_mspct)
: -
s_var(calibration_mspct)
: -
s_var(cps_mspct)
: -
s_var(raw_mspct)
:
Note
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.
Objects of classes raw_spct and cps_spct can contain data from multiple scans. This functions are implemented for these classes only for the case when all member spectra contain data for a single scan, or spliced into a single column in the case of cps_spct members.
See Also
See cor
for details about var()
, which
is used for the computations.