plot_TL.SAR: plots MAAD results

Description Usage Arguments Details Author(s)

View source: R/plot_TL.SAR.R

Description

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

Usage

1
2
3
4
5
6
7
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 30, 2017, 12:10 a.m.