These functions return a spectral object of the same class as the one supplied as argument but with the spectral data rescaled.
fscale(x, ...)# S3 method for default
fscale(x, ...)
# S3 method for source_spct
fscale(x, range = NULL, f = "mean", target = 1,
unit.out = getOption("photobiology.radiation.unit", default = "energy"),
...)
# S3 method for response_spct
fscale(x, range = NULL, f = "mean", target = 1,
unit.out = getOption("photobiology.radiation.unit", default = "energy"),
...)
# S3 method for filter_spct
fscale(x, range = NULL, f = "mean", target = 1,
qty.out = getOption("photobiology.filter.qty", default = "transmittance"),
...)
# S3 method for reflector_spct
fscale(x, range = NULL, f = "mean", target = 1,
qty.out = NULL, ...)
# S3 method for raw_spct
fscale(x, range = NULL, f = "mean", target = 1, ...)
# S3 method for cps_spct
fscale(x, range = NULL, f = "mean", target = 1, ...)
# S3 method for generic_spct
fscale(x, range = NULL, f = "mean", target = 1,
col.names, ...)
# S3 method for source_mspct
fscale(x, range = NULL, f = "mean", target = 1,
unit.out = getOption("photobiology.radiation.unit", default = "energy"),
..., .parallel = FALSE, .paropts = NULL)
# S3 method for response_mspct
fscale(x, range = NULL, f = "mean", target = 1,
unit.out = getOption("photobiology.radiation.unit", default = "energy"),
..., .parallel = FALSE, .paropts = NULL)
# S3 method for filter_mspct
fscale(x, range = NULL, f = "mean", target = 1,
qty.out = getOption("photobiology.filter.qty", default = "transmittance"),
..., .parallel = FALSE, .paropts = NULL)
# S3 method for reflector_mspct
fscale(x, range = NULL, f = "mean", target = 1,
qty.out = NULL, ..., .parallel = FALSE, .paropts = NULL)
# S3 method for raw_mspct
fscale(x, range = NULL, f = "mean", target = 1, ...,
.parallel = FALSE, .paropts = NULL)
# S3 method for cps_mspct
fscale(x, range = NULL, f = "mean", target = 1, ...,
.parallel = FALSE, .paropts = NULL)
# S3 method for generic_mspct
fscale(x, range = NULL, f = "mean", target = 1,
col.names, ..., .parallel = FALSE, .paropts = NULL)
# S3 method for default
fshift(x, ...)
An R object
additional named arguments passed down to f
.
An R object on which range()
returns a numeric vector of
length 2 with the limits of a range of wavelengths in nm, with min and max
wavelengths (nm)
character string "mean" or "total" for scaling so that this summary
value becomes 1 for the returned object, or the name of a function taking
x
as first argument and returning a numeric value.
numeric A constant used as target value for scaling.
character Allowed values "energy", and "photon", or its alias "quantum"
character Allowed values "transmittance", and "absorbance"
character vector containing the names of columns or variables to which to apply the scaling.
if TRUE, apply function in parallel, using parallel backend provided by foreach
a list of additional options passed into the foreach function when parallel computation is enabled. This is important if (for example) your code relies on external data or packages: use the .export and .packages arguments to supply them so that all cluster nodes have the correct environment set up for computing.
A copy of x
with the original spectral data values replaced
with rescaled values, and the "scaled"
attribute set to a list
describing the scaling applied.
a new object of the same class as x
.
a new object of the same class as x
.
default
: Default for generic function
source_spct
:
response_spct
:
filter_spct
:
reflector_spct
:
raw_spct
:
cps_spct
:
generic_spct
:
source_mspct
:
response_mspct
:
filter_mspct
:
reflector_mspct
:
raw_mspct
:
cps_mspct
:
generic_mspct
:
default
: Default for generic function
Other rescaling functions: fshift
,
getNormalized
, is_normalized
,
is_scaled
, normalize
,
setNormalized
, setScaled