plot_TL.SAR: plots MAAD results

In TLdating: Tools for Thermoluminescences Dating

Description

This function plots the results obtained by the analyse_TL.MAAD function.

Usage

plot_TL.SAR(sample.name, sample.position, fitting.parameters = list(fit.method
  = "LIN", fit.weighted = FALSE, fit.rDoses.min = NA, fit.rDoses.max = NA),
  eval.Tmin, eval.Tmax, temperatures, names, names.duplicated, doses, Lx, Tx,
  LxTx, Lx.plateau, Tx.plateau, LxTx.plateau, DP.Q.line, DP.Q.line.error,
  GC.Q.line, GC.Q.LxTx, GC.Q.LxTx.error, GC.Q.slope, Q.DP, Q.DP.error, Q.GC,
  Q.GC.error, TxTn, rejection.values, plotting.parameters = list(plot.Tmin =
  0, plot.Tmax = NA))

Arguments

sample.name	character (required): Sample name.
sample.position	integer (required): aliquot position.
fitting.parameters	list (with default): list containing the fitting parameters. See details.
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.
temperatures	numeric (required): temperature vector
names	character (required): Name vector for the regenerative curves.
names.duplicated	character (required): Name vector for the duplicated doses.
doses	numeric (required): Dose vector for the regenerative curves.
Lx	numeric (required): Lx matrix for the regenerative curves.
Tx	numeric (required): Tx matrix for the regenerative curves.
LxTx	numeric (required): Lx/Tx matrix for the regenerative curves.
Lx.plateau	numeric (required): Ln/Lx matrix for the regenerative curves.
Tx.plateau	numeric (required): Tn/Tx matrix for the regenerative curves.
LxTx.plateau	numeric (required): (Ln/Tn)/(Lx/Tx) matrix for the regenerative curves.
DP.Q.line	numeric (required): Vector containing the estimation of Q for each T<c2><b0> step.
DP.Q.line.error	numeric (required): Vector containing the uncertainty on the estimation of Q for each T<c2><b0> step.
GC.Q.line	numeric (required): growth curve for Q
GC.Q.LxTx	numeric (required): Lx/Tx vector used for Q estimation using the growth curve approach.
GC.Q.LxTx.error	numeric (required): Error on the Lx/tx vector used for Q estimation using the growth curve approach.
GC.Q.slope	numeric (required): growth curve parameters for Q
Q.DP	numeric (required): Q estimation using the dose plateau approach
Q.DP.error	numeric (required): Uncertainty on the Q estimation using the dose plateau approach
Q.GC	numeric (required): Q estimation using the growth curve approach
Q.GC.error	numeric (required): Uncertainty on the Q estimation using the growth curve approach
TxTn	numeric (required): average Tx/Tn value for the regenerative curves.
rejection.values	list (required): result of the rejection tests.
plotting.parameters	list (with default): list containing the plotting parameters. See details.

Details

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.rDoses.min

numeric: Lower regenerative dose used for the fitting.

fit.rDoses.max

numeric: Higher regenerative dose used for the fitting.

See also calc_TL.SAR.fit.

Plotting parameters
The plotting parameters are:

plot.Tmin

numeric: Lower temperature plotted.

plot.Tmax

numeric: Higher temperature plotted.

no.plot

logical: If TRUE, the results will not be plotted.

See also plot_TL.SAR.

Author(s)

David Strebler

TLdating documentation built on May 2, 2019, 9:26 a.m.