Functions to read the "normalized" and "normalization" attributes of an existing generic_spct object.
getNormalized(x, .force.numeric = FALSE)getNormalised(x, .force.numeric = FALSE)
getNormalization(x)
getNormalisation(x)
getNormalized() returns numeric or logical (possibly character
for objects created with earlier versions); for collections of spectra, a
named list, with one member for each spectrum. If x is not a
generic_spct object, NA or a list with fields set to NAs is
returned. Objects created with versions of package 'photobiology' earlier
than 0.10.8 are lacking the detailed normalization metadata.
getNormalization() returns a list with five fields: norm.type,
norm.wl, norm.factors, norm.cols, norm.range. For collections of spectra, a
named list of lists, with one member list for each member of the collection
of spectra. See setNormalized() for the values stored in the
fields.
a generic_spct object.
logical If TRUE always silently return a
numeric value, with FALSE encoded as zero, and character values
as NA.
Spectral data that has been normalized needs to be used diffferently
in computations than data expresed in original units. These two functions
make it possible to query if data stored in an object of class
generic_spct or of a derived class contains data expressed in
physical units or normalized. In the later case, it is possible to also
query how the normalization was done.
Other rescaling functions:
fscale(),
fshift(),
getScaled(),
is_normalized(),
is_scaled(),
normalize(),
setNormalized(),
setScaled()
getNormalized(sun.spct)
getNormalization(sun.spct)
sun_norm.spct <- normalize(sun.spct)
getNormalized(sun_norm.spct)
getNormalization(sun_norm.spct)
getNormalization(e2q(sun_norm.spct))
gel_norm.spct <- normalize(yellow_gel.spct)
getNormalized(gel_norm.spct)
getNormalization(gel_norm.spct)
getNormalization(T2Afr(gel_norm.spct))
getNormalization(any2A(gel_norm.spct))
Run the code above in your browser using DataLab