These functions simply subtract (by default) detector counts data (raw or cps) of one spectrum by the corresponding columns in another spectrum, or apply a user supplied operator or function to them.
Usage
ref_correction(x, y, .oper, ...)
# Default S3 method
ref_correction(x, y, .oper, ...)
# S3 method for class 'numeric'
ref_correction(x, y, .oper = `-`, ...)
# S3 method for class 'raw_spct'
ref_correction(x, y, .oper = `-`, ...)
# S3 method for class 'cps_spct'
ref_correction(x, y, .oper = `-`, ...)
# S3 method for class 'cps_mspct'
ref_correction(x, y = x, .oper = `-`, ref_name = "dark", ...)Value
a numeric vector of the same length as x
an object of class "cps_spct"
an object of class "cps_spct"
an object of class "cps_mspct"
Methods (by class)
ref_correction(default): Default methodref_correction(numeric): Numeric methodref_correction(raw_spct): Method for spectral data expressed as raw instrument counts.ref_correction(cps_spct): Method for spectral data expressed as counts per second.ref_correction(cps_mspct): Method for collections of spectral data objects containing data expressed as counts per second.
Note
In the case of objects of class "raw_spct" the columns with names starting with "counts" are processed. All other columns are left unchanded.
If x and y are both cps_mspct objects,
y[[ref_name]] will be used as reference, otherwise y itself
should be a cps_spct and will be used as is. In all cases variables in
ref.name will be skipped in x.
See also
Other spectral data-processing functions:
MAYP112785_tail_correction(),
MAYP11278_tail_correction(),
check_sn_match(),
linearize_counts(),
merge_raw_mspct(),
new_correction_method(),
trim_counts(),
uvb_corrections()
