| fscale {photobiology} | R Documentation |
These functions return a spectral object of the same class as the one supplied as argument but with the spectral data rescaled.
fscale(x, ...)
## Default S3 method:
fscale(x, ...)
## S3 method for class 'source_spct'
fscale(x, range = NULL, f = "mean", target = 1,
unit.out = getOption("photobiology.radiation.unit", default = "energy"),
...)
## S3 method for class 'response_spct'
fscale(x, range = NULL, f = "mean", target = 1,
unit.out = getOption("photobiology.radiation.unit", default = "energy"),
...)
## S3 method for class 'filter_spct'
fscale(x, range = NULL, f = "mean", target = 1,
qty.out = getOption("photobiology.filter.qty", default = "transmittance"),
...)
## S3 method for class 'reflector_spct'
fscale(x, range = NULL, f = "mean", target = 1,
qty.out = NULL, ...)
## S3 method for class 'raw_spct'
fscale(x, range = NULL, f = "mean", target = 1, ...)
## S3 method for class 'cps_spct'
fscale(x, range = NULL, f = "mean", target = 1, ...)
## S3 method for class 'generic_spct'
fscale(x, range = NULL, f = "mean", target = 1,
col.names, ...)
## S3 method for class '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 class '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 class '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 class 'reflector_mspct'
fscale(x, range = NULL, f = "mean", target = 1,
qty.out = NULL, ..., .parallel = FALSE, .paropts = NULL)
## S3 method for class 'raw_mspct'
fscale(x, range = NULL, f = "mean", target = 1, ...,
.parallel = FALSE, .paropts = NULL)
## S3 method for class 'cps_mspct'
fscale(x, range = NULL, f = "mean", target = 1, ...,
.parallel = FALSE, .paropts = NULL)
## S3 method for class 'generic_mspct'
fscale(x, range = NULL, f = "mean", target = 1,
col.names, ..., .parallel = FALSE, .paropts = NULL)
## Default S3 method:
fshift(x, ...)
x |
An R object |
... |
additional named arguments passed down to |
range |
An R object on which |
f |
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
|
target |
numeric A constant used as target value for scaling. |
unit.out |
character Allowed values "energy", and "photon", or its alias "quantum" |
qty.out |
character Allowed values "transmittance", and "absorbance" |
col.names |
character vector containing the names of columns or variables to which to apply the scaling. |
.parallel |
if TRUE, apply function in parallel, using parallel backend provided by foreach |
.paropts |
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
fscale(sun.spct, f = "mean")
fscale(sun.spct, f = "mean", na.rm = TRUE)
fscale(sun.spct, f = sum)
fscale(sun.spct, f = function(x) {sum(x) / length(x)})