Luminescence (version 0.8.6)

set_RLum: General set function for RLum S4 class objects

Description

Function calls object-specific set functions for RLum S4 class objects.

Usage

set_RLum(class, originator, .uid = create_UID(), .pid = NA_character_,
  ...)

Arguments

class

'>RLum (required): name of the S4 class to create

originator

character (automatic): contains the name of the calling function (the function that produces this object); can be set manually.

.uid

character (automatic): sets an unique ID for this object using the internal C++ function create_UID.

.pid

character (with default): option to provide a parent id for nesting at will.

...

further arguments that one might want to pass to the specific set method

Value

Returns an object of the specified class.

Function version

0.3.0 (2018-01-21 17:22:38)

How to cite

Kreutzer, S. (2018). set_RLum(): General set function for RLum S4 class objects. Function version 0.3.0. In: Kreutzer, S., Burow, C., Dietze, M., Fuchs, M.C., Schmidt, C., Fischer, M., Friedrich, J. (2018). Luminescence: Comprehensive Luminescence Dating Data Analysis. R package version 0.8.6. https://CRAN.R-project.org/package=Luminescence

Details

The function provides a generalised access point for specific '>RLum objects. Depending on the given class, the corresponding method to create an object from this class will be selected. Allowed additional arguments can be found in the documentations of the corresponding '>RLum class:

  • '>RLum.Data.Curve,

  • '>RLum.Data.Image,

  • '>RLum.Data.Spectrum,

  • '>RLum.Analysis,

  • '>RLum.Results

See Also

'>RLum.Data.Curve, '>RLum.Data.Image, '>RLum.Data.Spectrum, '>RLum.Analysis, '>RLum.Results

Examples

# NOT RUN {
##produce empty objects from each class
set_RLum(class = "RLum.Data.Curve")
set_RLum(class = "RLum.Data.Spectrum")
set_RLum(class = "RLum.Data.Spectrum")
set_RLum(class = "RLum.Analysis")
set_RLum(class = "RLum.Results")

##produce a curve object with arbitrary curve values
object <- set_RLum(
class = "RLum.Data.Curve",
curveType = "arbitrary",
recordType = "OSL",
data = matrix(c(1:100,exp(-c(1:100))),ncol = 2))

##plot this curve object
plot_RLum(object)

# }