While analysing OSL SAR or pIRIR-data the view on the data is usually limited to one dose-response curve (DRC) at the time for one aliquot. This function overcomes this limitation by plotting all DRCs from an RLum.Results object created by analyse_SAR.CWOSL in one single plot.
If you want plot your DRC on an energy scale (dose in Gy), you can either use option source_dose_rate or perform your SAR analysis with the dose points in Gy (better axis scaling).
object: RLum.Results (required ): input object created by analyse_SAR.CWOSL . The input object can be provided as list .
source_dose_rate: numeric (optional): allows to modify the axis and show values in Gy, instead seconds. Only a single numerical value is allowed.
sel_curves: numeric (optional): id of the curves to be plotted in its occurring order. A sequence can be provided for selecting, e.g., only every 2nd curve from the input object.
show_dose_points: logical (with default): enable/disable plotting of dose points in the graph.
show_natural: logical (with default): enable/disable the plot of the natural Lx/Tx values.
n: integer (with default): number of x-values used to evaluate one curve object. Large numbers slow down the plotting process and are usually not needed.
...: Further arguments and graphical parameters to be passed. In particular: main, xlab, ylab, xlim, ylim, lty, lwd, pch, col.pch, col.lty, mtext
Returns
An RLum.Results object is returned:
Slot: @data
OBJECT
TYPE
COMMENT
results
data.frame
with dose and LxTx values
data
RLum.Results
original input data
Slot: @info
OBJECT
TYPE
COMMENT
call
call
the original function call
args
list
arguments of the original function call
Note: If the input object is a list a list of RLum.Results objects is returned.
Function version
0.2.3
Examples
#load data example datadata(ExampleData.BINfileData, envir = environment())#transform the values from the first position in a RLum.Analysis objectobject <- Risoe.BINfileData2RLum.Analysis(CWOSL.SAR.Data, pos=1)results <- analyse_SAR.CWOSL( object = object, signal.integral.min =1, signal.integral.max =2, background.integral.min =900, background.integral.max =1000, plot =FALSE)##plot only DRCplot_DRCSummary(results)
See Also
RLum.Results , analyse_SAR.CWOSL
Author(s)
Sebastian Kreutzer, Institute of Geography, Heidelberg University (Germany)
Christoph Burow, University of Cologne (Germany) , RLum Developer Team
How to cite
Kreutzer, S., Burow, C., 2025. plot_DRCSummary(): Create a Dose-Response Curve Summary Plot. Function version 0.2.3. 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., 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/