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RLumCarlo (version 0.1.9)

methods_RLumCarlo: methods_RLumCarlo

Description

Methods for S3-generics implemented for the package 'RLumCarlo'.

Usage

# S3 method for RLumCarlo_Model_Output
summary(object, verbose = TRUE, ...)

# S3 method for RLumCarlo_Model_Output c(...)

Value

summary(): This function returns a data.frame

c(): function returns a the same as the input objects

Arguments

object

list of class RLumCarlo_Model_Output: RLumCarlo simulation output object produced by all run_ functions

verbose

logical (with default): enable/disable verbose mode

...

input objects or further function arguments

Author

Sebastian Kreutzer, Institute of Geography, Heidelberg University (Germany), Johannes Friedrich, University of Bayreuth (Germany),

How to cite

Kreutzer, S., Friedrich, J., 2022. methods_RLumCarlo(): methods_RLumCarlo. In: Friedrich, J., Kreutzer, S., Pagonis, V., Schmidt, C., 2022. RLumCarlo: Monte-Carlo Methods for Simulating Luminescence Phenomena. R package version 0.1.9. https://CRAN.R-project.org/package=RLumCarlo

Examples

Run this code

##create object
object <- run_MC_TL_DELOC(
 s = 3.5e12,
 E = 1.45,
 R = 0.1,
 method = 'seq',
 clusters = 100,
 times = 150:350)

##summary
summary(object)

##combine
c(objects,objects)

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