plot_TL.MAAD: plot MAAD result

Description Usage Arguments Details Author(s) See Also

Description

This function plots the results for analyse_TL.MAAD. The first page regroups all the information about the additive curves (names, doses, intensity vs. temperature and plateau test for Lx, Tx and Lx/Tx). The second page regroups all the information about the regenerative curves (names, doses, intensity vs. temperature and plateau test for Lx, Tx and Lx/Tx). The third page regroups all the information about the equivalent dose (dose plateau for the palaeodose and the supralinearity correction, growth curves, rejection criteria,...).

Usage

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plot_TL.MAAD(sample.name, temperatures, eval.Tmin, eval.Tmax, aNames, aDoses,
  aLx, aTx, aLxTx, aLx.plateau, aTx.plateau, aLxTx.plateau, rNames, rDoses, rLx,
  rTx, rLxTx, rLx.plateau, rTx.plateau, rLxTx.plateau, DP.Q.line,
  DP.Q.line.error, GC.Q.line, GC.Q.slope, GC.Q.LxTx, GC.Q.LxTx.error,
  GC.Q.doses, GC.Q.names, DP.I.line, DP.I.line.error, GC.I.line, GC.I.slope,
  GC.I.LxTx, GC.I.LxTx.error, GC.I.doses, GC.I.names, Q.DP, Q.DP.error, Q.GC,
  Q.GC.error, I.DP, I.DP.error, I.GC, I.GC.error, De.GC, De.GC.error, De.DP,
  De.DP.error, rejection.values, fitting.parameters,
  plotting.parameters = list(plot.Tmin = 0, plot.Tmax = NA))

Arguments

sample.name

character (required): Sample name.

temperatures

numeric (required): temperature vector

eval.Tmin

integer (required): Temperature (°C) of the lower boundary for the signal integration.

eval.Tmax

integer (required): Temperature (°C) of the upper boundary for the signal integration.

aNames

character (required): Name vector for the additive curves.

aDoses

numeric (required): Dose vector for the additive curves.

aLx

numeric (required): Lx matrix for the additive curves.

aTx

numeric (required): Tx matrix for the additive curves.

aLxTx

numeric (required): Lx/Tx matrix for the additive curves.

aLx.plateau

numeric (required): Ln/Lx matrix for the additive curves.

aTx.plateau

numeric (required): Ln/Tx matrix for the additive curves.

aLxTx.plateau

numeric (required): (Ln/Tn)/(Lx/Tx) matrix for the additive curves.

rNames

character (required): Name vector for the regenerative curves.

rDoses

numeric (required): Dose vector for the regenerative curves.

rLx

numeric (required): Lx matrix for the regenerative curves.

rTx

numeric (required): Tx matrix for the regenerative curves.

rLxTx

numeric (required): Lx/Tx matrix for the regenerative curves.

rLx.plateau

numeric (required): Ln/Lx matrix for the regenerative curves.

rTx.plateau

numeric (required): Tn/Tx matrix for the regenerative curves.

rLxTx.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° step.

DP.Q.line.error

numeric (required): Vector containing the uncertainty on the estimation of Q for each T° step.

GC.Q.line

numeric (required): growth curve for Q

GC.Q.slope

numeric (required): growth curve parameters 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.doses

numeric (required): Doses used for Q estimation using the growth curve approach.

GC.Q.names

numeric (required): Names of the Lx/tx vector used for Q estimation using the growth curve approach.

DP.I.line

numeric (required): Vector containing I for each temperature step.

DP.I.line.error

numeric (required): Vector containing the uncertainty on I for each temperature step.

GC.I.line

numeric (required): growth curve for I

GC.I.slope

numeric (required): growth curve parameters for I.

GC.I.LxTx

numeric (required): Lx/tx vector used for I estimation using the growth curve approach.

GC.I.LxTx.error

numeric (required): Error on the Lx/tx vector used for I estimation using the growth curve approach.

GC.I.doses

numeric (required): Doses used for I estimation using the growth curve approach.

GC.I.names

numeric (required): Names of the Lx/Tx vector used for I estimation using the growth curve approach.

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

I.DP

numeric (required): I estimation using the dose plateau approach

I.DP.error

numeric (required): Uncertainty on the I estimation using the dose plateau approach

I.GC

numeric (required): I estimation using the growth curve approach

I.GC.error

numeric (required): Uncertainty on the I estimation using the growth curve approach

De.GC,

numeric (required): ED (Q+I) estimation using the growth curve approach

De.GC.error,

numeric (required): Uncertainty on the ED (Q+I) estimation using the growth curve approach

De.DP,

numeric (required): ED (Q+I) estimation using the dose plateau approach

De.DP.error

numeric (required): Uncertainty on the ED (Q+I) estimation using the dose plateau approach

rejection.values

list (required): result of the rejection tests.

fitting.parameters

list (with default): list containing the fitting parameters. See details.

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.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 analyse_TL.MAAD, calc_TL.MAAD.fit.Q and calc_TL.MAAD.fit.I.

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 analyse_TL.MAAD.

Author(s)

David Strebler

See Also

analyse_TL.MAAD, calc_TL.MAAD.fit.Q, calc_TL.MAAD.fit.I.


dstreble/TLdating documentation built on May 15, 2019, 4:50 p.m.