Shift the scale of a spectrum using a summary function
The fshift() methods return a spectral object of the same class as the
one supplied as argument but with the spectral data on a zero-shifted scale.
A range of wavelengths is taken as a zero reference and the summary
calculated with f for this waveband is substracted. This results in a
zero shift (= additive correction) to the values in the returned object.
Metadata attributes are retained unchanged.
fshift(x, ...)
## Default S3 method:
fshift(x, ...)
## S3 method for class 'source_spct'
fshift(
x,
range = c(wl_min(x), wl_min(x) + 10),
f = "mean",
unit.out = getOption("photobiology.radiation.unit", default = "energy"),
...
)
## S3 method for class 'response_spct'
fshift(
x,
range = c(wl_min(x), wl_min(x) + 10),
f = "mean",
unit.out = getOption("photobiology.radiation.unit", default = "energy"),
...
)
## S3 method for class 'filter_spct'
fshift(
x,
range = c(wl_min(x), wl_min(x) + 10),
f = "min",
qty.out = getOption("photobiology.filter.qty", default = "transmittance"),
...
)
## S3 method for class 'reflector_spct'
fshift(x, range = c(wl_min(x), wl_min(x) + 10), f = "min", qty.out = NULL, ...)
## S3 method for class 'source_mspct'
fshift(
x,
range = c(wl_min(x), wl_min(x) + 10),
f = "mean",
unit.out = getOption("photobiology.radiation.unit", default = "energy"),
...
)
## S3 method for class 'raw_spct'
fshift(
x,
range = c(wl_min(x), wl_min(x) + 10),
f = "mean",
qty.out = NULL,
...
)
## S3 method for class 'cps_spct'
fshift(
x,
range = c(wl_min(x), wl_min(x) + 10),
f = "mean",
qty.out = NULL,
...
)
## S3 method for class 'generic_spct'
fshift(x, range = c(wl_min(x), wl_min(x) + 10), f = "mean", col.names, ...)
## S3 method for class 'response_mspct'
fshift(
x,
range = c(wl_min(x), wl_min(x) + 10),
f = "mean",
unit.out = getOption("photobiology.radiation.unit", default = "energy"),
...,
.parallel = FALSE,
.paropts = NULL
)
## S3 method for class 'filter_mspct'
fshift(
x,
range = c(wl_min(x), wl_min(x) + 10),
f = "min",
qty.out = getOption("photobiology.filter.qty", default = "transmittance"),
...,
.parallel = FALSE,
.paropts = NULL
)
## S3 method for class 'reflector_mspct'
fshift(
x,
range = c(wl_min(x), wl_min(x) + 10),
f = "min",
qty.out = NULL,
...,
.parallel = FALSE,
.paropts = NULL
)
## S3 method for class 'raw_mspct'
fshift(
x,
range = c(wl_min(x), wl_min(x) + 10),
f = "min",
...,
.parallel = FALSE,
.paropts = NULL
)
## S3 method for class 'cps_mspct'
fshift(
x,
range = c(wl_min(x), wl_min(x) + 10),
f = "min",
...,
.parallel = FALSE,
.paropts = NULL
)
## S3 method for class 'generic_mspct'
fshift(
x,
range = c(wl_min(x), wl_min(x) + 10),
f = "min",
col.names,
...,
.parallel = FALSE,
.paropts = NULL
)x |
An R object |
... |
additional named arguments passed down to |
range |
An R object on which |
f |
character string "mean", "min" or "max" for scaling so that this
summary value becomes the origin of the spectral data scale in the returned
object, or the name of a function taking |
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 scale shift. |
.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 spectral data values replaced with values
zero-shifted.
a new object of the same class as x.
default: Default for generic function
source_spct:
response_spct:
filter_spct:
reflector_spct:
source_mspct:
raw_spct:
cps_spct:
generic_spct:
response_mspct:
filter_mspct:
reflector_mspct:
raw_mspct:
cps_mspct:
generic_mspct:
Other rescaling functions:
fscale(),
getNormalized(),
getScaled(),
is_normalized(),
is_scaled(),
normalize(),
setNormalized(),
setScaled()
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.