| wls_at_target | R Documentation |
Find wavelength values corresponding to a target spectral value in a spectrum.
The name of the column of the spectral data to be used is inferred from the
class of x and the argument passed to unit.out or
filter.qty or their defaults that depend on R options set.
wls_at_target(x, target, interpolate, idfactor, na.rm, ...)
## Default S3 method:
wls_at_target(
x,
target = NULL,
interpolate = FALSE,
idfactor = length(target) > 1,
na.rm = FALSE,
...
)
## S3 method for class 'data.frame'
wls_at_target(
x,
target = "0.5max",
interpolate = FALSE,
idfactor = length(target) > 1,
na.rm = FALSE,
x.var.name = NULL,
y.var.name = NULL,
...
)
## S3 method for class 'generic_spct'
wls_at_target(
x,
target = "0.5max",
interpolate = FALSE,
idfactor = length(target) > 1,
na.rm = FALSE,
col.name = NULL,
y.var.name = col.name,
...
)
## S3 method for class 'source_spct'
wls_at_target(
x,
target = "0.5max",
interpolate = FALSE,
idfactor = length(target) > 1,
na.rm = FALSE,
unit.out = getOption("photobiology.radiation.unit", default = "energy"),
...
)
## S3 method for class 'response_spct'
wls_at_target(
x,
target = "0.5max",
interpolate = FALSE,
idfactor = length(target) > 1,
na.rm = FALSE,
unit.out = getOption("photobiology.radiation.unit", default = "energy"),
...
)
## S3 method for class 'filter_spct'
wls_at_target(
x,
target = "0.5max",
interpolate = FALSE,
idfactor = length(target) > 1,
na.rm = FALSE,
filter.qty = getOption("photobiology.filter.qty", default = "transmittance"),
...
)
## S3 method for class 'reflector_spct'
wls_at_target(
x,
target = "0.5max",
interpolate = FALSE,
idfactor = length(target) > 1,
na.rm = FALSE,
...
)
## S3 method for class 'solute_spct'
wls_at_target(
x,
target = "0.5max",
interpolate = FALSE,
idfactor = length(target) > 1,
na.rm = FALSE,
...
)
## S3 method for class 'cps_spct'
wls_at_target(
x,
target = "0.5max",
interpolate = FALSE,
idfactor = length(target) > 1,
na.rm = FALSE,
...
)
## S3 method for class 'raw_spct'
wls_at_target(
x,
target = "0.5max",
interpolate = FALSE,
idfactor = length(target) > 1,
na.rm = FALSE,
...
)
## S3 method for class 'generic_mspct'
wls_at_target(
x,
target = "0.5max",
interpolate = FALSE,
idfactor = length(target) > 1,
na.rm = FALSE,
...,
.parallel = FALSE,
.paropts = NULL
)
x |
data.frame or spectrum object. |
target |
numeric or character vector. A numeric value indicates the spectral
quantity value for which wavelengths are to be searched. A character
string representing a number is converted to numeric. A character value
representing a number followed by a function name, will be also accepted
and decoded, such that |
interpolate |
logical Indicating whether the nearest wavelength value
in |
idfactor |
logical or character Generates an index column of factor
type. If |
na.rm |
logical indicating whether |
... |
currently ignored. |
x.var.name, y.var.name, col.name |
character The name of the columns in
which to search for the target value. Use of |
unit.out |
character One of "energy" or "photon" |
filter.qty |
character One of "transmittance" or "absorbance" |
.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 data.frame, a spectrum object or a collection of spectra object of
the same class as x with fewer rows, possibly even no rows. If
FALSE is passed to interpolate a subset of x is
returned, otherwise a new object of the same class containing interpolated
wavelengths for the target value is returned. As 'target' accepts
a vector or list as argument, a factor can be added to the output with
the corresponding target value.
When interpolation is used, only column w.length and the column
against which the target value was compared are included in the returned
object, otherwise, all columns in x are returned. We implement
support for data.frame to simplify the coding of 'ggplot2' stats
using this function.
Other peaks and valleys functions:
find_peaks(),
find_spikes(),
get_peaks(),
peaks(),
replace_bad_pixs(),
spikes(),
valleys()
wls_at_target(sun.spct, target = 0.1)
wls_at_target(sun.spct, target = 2e-6, unit.out = "photon")
wls_at_target(polyester.spct, target = "HM")
wls_at_target(polyester.spct, target = "HM", interpolate = TRUE)
wls_at_target(polyester.spct, target = "HM", idfactor = "target")
wls_at_target(polyester.spct, target = "HM", filter.qty = "absorbance")
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