Description Usage Arguments Details Value Author(s) References See Also Examples
View source: R/analyse_TL.MAAD.R
Function to estimate the ED in TL dating using the MAAD protocol.
It provides an estimation of the palaeodose (Q) and/or the supralinearity correction (I).
The equivalent dose (ED) is estimated by the addition of Q and I.
See details for more information.
1 2 3 4 5 6  analyse_TL.MAAD(object, eval.Tmin, eval.Tmax,
rejection.criteria = list(testdose.error = 10, paleodose.error = 10),
fitting.parameters = list(fit.method = "LIN", fit.weighted = FALSE,
fit.use.slope = FALSE, fit.aDoses.min = 0, fit.aDoses.max = NA, fit.rDoses.min
= 0, fit.rDoses.max = NA), plotting.parameters = list(plot.Tmin = 0,
plot.Tmax = NA, no.plot = FALSE))

object 

eval.Tmin 
integer (required): Temperature ( <c2><b0>C) of the lower boundary for the signal integration. 
eval.Tmax 
integer (required): Temperature ( <c2><b0>C) of the upper boundary for the signal integration. 
rejection.criteria 
list (with default): list containing the rejection criteria (in %). See details. 
fitting.parameters 
list (with default): list containing the fitting parameters. See details. 
plotting.parameters 
list (with default): list containing the plotting parameters. See details. 
This function estimates the equivalent dose for the thermoluminescence dating with the MAAD protocol.
It can provide an estimation of the palaeodose (Q) and the supralinearity correction (I) simultaniously or separately.
These are estimated using the growth curve approach (QC) (Aitken, 1985) and the dose plateau approach (DP).
Both approaches should provide a similar result. The equivalent dose is estimated by the addition of Q and I
The Lx/Tx matrix is estimated using calc_TL.LxTx.
The average TL curves for each dose step are estimate using calc_TL.MAAD.average.
The plateau test values are estimated using calc_TL.plateau.
Rejection criteria
The rejection criteria are:
testdose.error
numeric: Maximum error accepted on Tx (in %).
paleodose.error
numeric: Maximum error accepted on Lx (in %).
Fitting parameters
The fitting parameters are:
method
character: Fitting method (LIN
, EXP
, EXP+LIN
or EXP+EXP
).
fit.weighted
logical: If the fitting is weighted or not.
fit.use.slope
logical: If the slope of the Q growth curve is reused for the supralinearity correction.
fit.aDoses.min
numeric: Lowest additive dose used for the fitting.
fit.aDoses.max
numeric: Highest additive dose used for the fitting.
fit.rDoses.min
numeric: Lowest regenerative dose used for the fitting.
fit.rDoses.max
numeric: Highest regenerative dose used for the fitting.
See also calc_TL.MAAD.fit.Q and calc_TL.MAAD.fit.I.
Plotting parameters
The plotting parameters are:
plot.Tmin
numeric: Lowest temperature plotted.
plot.Tmax
numeric: Highest temperature plotted.
no.plot
logical: If TRUE
, the results will not be plotted.
See also plot_TL.MAAD.
The results are plotted using plot_TL.MAAD.
The function also provides a TLum.Results containing:
De.GC
list: Results obtained with the dose plateau approach and their uncertainties
(De
, De.error
, Q
, Q.error
, I
, I.error
)
De.DP
list: Results obtained with the growth curve approach and their uncertainties
(De
, De.error
, Q
, Q.error
, I
, I.error
)
LnLxTnTx.table
matrix: Lx/Tx values
RC.Status
character: The acceptance result.
David Strebler, University of Cologne (Germany)
Aitken, M.J. (1985) Thermoluminescence Dating, Academic Press, London
calc_TL.LxTx, calc_TL.plateau, calc_TL.MAAD.average, calc_TL.MAAD.separate, calc_TL.MAAD.fit.I, calc_TL.MAAD.fit.Q, analyse_TL.SAR.
1 2 3  ##load data
##perform analysis

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