plot_RLum.Results: Plot function for an RLum.Results S4 class object

In Luminescence: Comprehensive Luminescence Dating Data Analysis

Plot function for an RLum.Results S4 class object

Description

The function provides a standardised plot output for data of an RLum.Results S4 class object

Usage

plot_RLum.Results(object, single = TRUE, ...)

Arguments

object	RLum.Results (required): S4 object of class RLum.Results
single	logical (with default): single plot output (TRUE/FALSE) to allow for plotting the results in as few plot windows as possible.
...	further arguments and graphical parameters will be passed to the plot function.

Details

The function produces a multiple plot output. A file output is recommended (e.g., pdf).

Value

Returns multiple plots.

Function version

0.2.1

How to cite

Burow, C., Kreutzer, S., 2025. plot_RLum.Results(): Plot function for an RLum.Results S4 class object. Function version 0.2.1. 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., Colombo, M., Steinbuch, L., Boer, A.d., 2025. Luminescence: Comprehensive Luminescence Dating Data Analysis. R package version 1.0.1. https://r-lum.github.io/Luminescence/

Note

Not all arguments available for plot will be passed! Only plotting of RLum.Results objects are supported.

Author(s)

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

See Also

plot, plot_RLum

Examples

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

# apply the un-logged minimum age model
mam <- calc_MinDose(data = ExampleData.DeValues$CA1, sigmab = 0.2, log = TRUE, plot = FALSE)

##plot
plot_RLum.Results(mam)

# estimate the number of grains on an aliquot
grains<- calc_AliquotSize(grain.size = c(100,150), sample.diameter = 1, plot = FALSE, MC.iter = 100)

##plot
plot_RLum.Results(grains)

Luminescence documentation built on April 3, 2025, 7:52 p.m.