Luminescence (version 0.9.23)

get_RLum: General accessors function for RLum S4 class objects

Description

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

Usage

get_RLum(object, ...)
# S4 method for list
get_RLum(object, class = NULL, null.rm = FALSE, ...)
# S4 method for `NULL`
get_RLum(object, ...)

Value

Return is the same as input objects as provided in the list.

Arguments

object

RLum (required): S4 object of class RLum or an object of type list containing only objects of type RLum

...

further arguments that will be passed to the object specific methods. For further details on the supported arguments please see the class documentation: RLum.Data.Curve, RLum.Data.Spectrum, RLum.Data.Image, RLum.Analysis and RLum.Results

class

character (optional): allows to define the class that gets selected if applied to a list, e.g., if a list consists of different type of RLum-class objects, this arguments allows to make selection. If nothing is provided, all RLum-objects are treated.

null.rm

logical (with default): option to get rid of empty and NULL objects

Functions

• get_RLum(list): Returns a list of RLum objects that had been passed to get_RLum

• get_RLum(`NULL`): Returns NULL

Function version

0.3.3

Author

Sebastian Kreutzer, Institute of Geography, Heidelberg University (Germany) , RLum Developer Team

How to cite

Kreutzer, S., 2023. get_RLum(): General accessors function for RLum S4 class objects. Function version 0.3.3. In: Kreutzer, S., Burow, C., Dietze, M., Fuchs, M.C., Schmidt, C., Fischer, M., Friedrich, J., Mercier, N., Philippe, A., Riedesel, S., Autzen, M., Mittelstrass, D., Gray, H.J., Galharret, J., 2023. Luminescence: Comprehensive Luminescence Dating Data Analysis. R package version 0.9.23. https://CRAN.R-project.org/package=Luminescence

Details

The function provides a generalised access point for specific RLum objects.
Depending on the input object, the corresponding get function will be selected. Allowed arguments can be found in the documentations of the corresponding RLum class.

See Also

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

Examples

##Example based using data and from the calc_CentralDose() function

##load example data
data(ExampleData.DeValues, envir = environment())

##apply the central dose model 1st time
temp1 <- calc_CentralDose(ExampleData.DeValues$CA1)

##get results and store them in a new object
temp.get <- get_RLum(object = temp1)