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Return a copy of an R object with its class set to a given type of spectrum.

Usage

as.reflector_mspct(x, ...)

# Default S3 method
as.reflector_mspct(x, ...)

# S3 method for class 'data.frame'
as.reflector_mspct(
  x,
  Rfr.type = c("total", "specular"),
  strict.range = TRUE,
  ...
)

# S3 method for class 'reflector_spct'
as.reflector_mspct(x, ...)

# S3 method for class 'list'
as.reflector_mspct(
  x,
  Rfr.type = c("total", "specular"),
  strict.range = TRUE,
  ...,
  ncol = 1,
  byrow = FALSE
)

# S3 method for class 'matrix'
as.reflector_mspct(
  x,
  w.length,
  spct.data.var = "Rfr",
  multiplier = 1,
  byrow = NULL,
  spct.names = "spct_",
  ...
)

Arguments

x

a list of spectral objects or a list of objects such as data frames that can be converted into spectral objects.

...

passed to individual spectrum object constructor

Rfr.type

a character string, either "total" or "specular"

strict.range

logical Flag indicating how off-range values are handled

ncol

integer Number of 'virtual' columns in data

byrow

logical If ncol > 1 how to read in the data

w.length

numeric A vector of wavelengthvalues sorted in strictly ascending order (nm).

spct.data.var

character The name of the variable that will contain the spectral data. This indicates what physical quantity is stored in the matrix and the units of expression used.

multiplier

numeric A multiplier to be applied to the values in x to do unit or scale conversion.

spct.names

character Vector of names to be assigned to collection members, either of length 1, or with length equal to the number of spectra.

Value

A copy of x converted into a reflector_mspct object.

Methods (by class)

  • as.reflector_mspct(default):

  • as.reflector_mspct(data.frame):

  • as.reflector_mspct(reflector_spct):

  • as.reflector_mspct(list):

  • as.reflector_mspct(matrix):

Note

When x is a square matrix an explicit argument is needed for byrow to indicate how data in x should be read. In every case the length of the w.length vector must match one of the dimensions of x.