s_se: Standard Error of a collection of spectra

In photobiology: Photobiological Calculations

Standard Error of a collection of spectra

Description

Method to compute the "parallel" standard error of the mean across members of a collection of spectra or of a spectral object containing multiple spectra in long form.

Usage

s_se(x, na.rm, ...)

## Default S3 method:
s_se(x, na.rm = FALSE, ...)

## S3 method for class 'generic_spct'
s_se(x, na.rm = FALSE, ...)

## S3 method for class 'source_mspct'
s_se(x, na.rm = FALSE, ...)

## S3 method for class 'response_mspct'
s_se(x, na.rm = FALSE, ...)

## S3 method for class 'filter_mspct'
s_se(x, na.rm = FALSE, ...)

## S3 method for class 'reflector_mspct'
s_se(x, na.rm = FALSE, ...)

## S3 method for class 'calibration_mspct'
s_se(x, na.rm = FALSE, ...)

## S3 method for class 'cps_mspct'
s_se(x, na.rm = FALSE, ...)

## S3 method for class 'raw_mspct'
s_se(x, na.rm = FALSE, ...)

Arguments

x	An R object. Currently this package defines methods for collections of spectral objects.
na.rm	logical. A value indicating whether NA values should be stripped before the computation proceeds.
...	Further arguments passed to or from other methods.

Details

Method specializations compute the standard error of the mean at each wavelength across a group of spectra stored in an object of one of the classes defined in package 'photobiology'. Omission of NAs is done separately at each wavelength. Interpolation is not applied, so all spectra in x must share the same set of wavelengths. An error is triggered if this condition is nor fulfilled.

Value

If x is a collection spectral of objects, such as a "filter_mspct" object, the returned object is of same class as the members of the collection, such as "filter_spct", containing the summary spectrum, with variables with names tagged for summaries other than mean or median.

Methods (by class)

• s_se(default):

• s_se(generic_spct):

• s_se(source_mspct):

• s_se(response_mspct):

• s_se(filter_mspct):

• s_se(reflector_mspct):

• s_se(calibration_mspct):

• s_se(cps_mspct):

• s_se(raw_mspct):

Note

Objects of classes raw_spct and cps_spct can contain data from multiple scans in multiple variables or "columns". The methods accept as arguments objects of these classes only if spectra contain data for a single spectrometer scan. In the case of cps_spct objects, a single column can also contain data from multiple scans spliced into a single variable.

Examples

s_se(sun_evening.mspct)

photobiology documentation built on April 4, 2025, 4:37 a.m.