Learn R Programming

photobiology (version 0.9.6)

waveband: Waveband constructor method

Description

Constructor for "waveband" objects that can be used as imput when calculating irradiances.

Usage

waveband(x, weight = NULL, SWF.e.fun = NULL, SWF.q.fun = NULL,
  norm = NULL, SWF.norm = NULL, hinges = NULL, wb.name = NULL,
  wb.label = wb.name)

new_waveband(w.low, w.high, weight = NULL, SWF.e.fun = NULL,
  SWF.q.fun = NULL, norm = NULL, SWF.norm = NULL, hinges = NULL,
  wb.name = NULL, wb.label = wb.name)

Arguments

x
any R object on which applying the function range yields an array of two numeric values, describimg a range of wavelengths (nm)
weight
a character string "SWF" or "BSWF", use NULL (the defalt) to indicate no weighting used when calculating irradiance
SWF.e.fun
a function giving multipliers for a spectral weighting function (energy) as a function of wavelength (nm)
SWF.q.fun
a function giving multipliers for a spectral weighting function (quantum) as a function of wavelength (nm)
norm
a single numeric value indicating the wavelength at which the SWF should be normalized to 1.0, in nm. "NULL" means no normalization.
SWF.norm
a numeric value giving the native normalization wavelength (nm) used by SWF.e.fun and SWF.q.fun
hinges
a numeric array giving the wavelengths at which the s.irrad should be inserted by interpolation, no interpolation is indicated by an empty array (numeric(0)), if NULL then interpolation will take place at both ends of the band.
wb.name
character string giving the name for the waveband defined, default is NULL
wb.label
character string giving the label of the waveband to be used for ploting, default is wb.name
w.low
numeric value, wavelength at the short end of the band (nm)
w.high
numeric value, wavelength at the long end of the band (nm)

Value

  • a waveband object

Functions

  • new_waveband: A less flexible variant

See Also

Other waveband constructors: split_bands

Examples

Run this code
waveband(c(400,700))

new_waveband(400,700)

Run the code above in your browser using DataLab