plot_RLum.Results {Luminescence} | R Documentation |
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 |
single |
logical (with default):
single plot output ( |
... |
further arguments and graphical parameters will be passed to
the |
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., 2024. 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., 2024. Luminescence: Comprehensive Luminescence Dating Data Analysis. R package version 0.9.24. https://CRAN.R-project.org/package=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
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)