Description Usage Arguments Value See Also Examples

Selecting SAR data sets (growth curves) in a batch model according to specified rejection criteria.

1 2 3 4 5 6 7 8 | ```
pickSARdata(obj_analyseBIN, model = "gok", origin = FALSE,
weight = TRUE, trial = TRUE, nofit.rgd = NULL,
Tn.above.3BG = TRUE, TnBG.ratio.low = NULL,
rseTn.up = NULL, FR.low = NULL, rcy1.range = NULL,
rcy2.range = NULL, rcy3.range = NULL,
rcp1.up = NULL, rcp2.up = NULL, fom.up = NULL,
rcs.up = NULL, use.se = TRUE, norm.dose = NULL,
outpdf = NULL, outfile = NULL)
``` |

`obj_analyseBIN` |
list( |

`model` |
character(with default): model used for growth curve fitting, see fitGrowth for available models |

`origin` |
logical(with default): logical value indicating if the growth curve should be forced to pass the origin |

`weight` |
logical(with default): logical value indicating if the growth curve should be fitted using a weighted procedure, see function fitGrowth for details |

`trial` |
logical(with default): logical value indicating if the growth curve should be fitted using other models if the given model fails, see function fitGrowth for details |

`nofit.rgd` |
integer(optional): regenerative doses that will not be used during the fitting.
For example, if |

`Tn.above.3BG` |
logical(with default): logical value indicating if aliquot (grain) with Tn below 3 sigma BG should be rejected |

`TnBG.ratio.low` |
numeric(optional): lower limit on ratio of initial Tn signal to BG |

`rseTn.up` |
numeric(optional): upper limit on relative standard error of Tn in percent |

`FR.low` |
numeric(optional): lower limit on fast ratio of Tn |

`rcy1.range` |
vector(optional): a two-element vector indicating the lower and upper limits on recycling ratio 1,
Example: |

`rcy2.range` |
vector(optional): a two-element vector indicating the lower and upper limits on recycling ratio 2 |

`rcy3.range` |
vector(optional): a two-element vector indicating the lower and upper limits on recycling ratio 3 |

`rcp1.up` |
numeric(optional): upper limit on recuperation 1 (i.e., ratio of the |

`rcp2.up` |
numeric(optional): upper limit on recuperation 2 (i.e., ratio of the |

`fom.up` |
numeric(optional): upper limit on figure of merit (FOM) values of growth curves in percent |

`rcs.up` |
numeric(optional): upper limit on reduced chi-square (RCS) values of growth curves |

`use.se` |
logical(with default): logical value indicating if standard errors of values should be used during application of rejection criteria |

`norm.dose` |
numeric(optional): dose value used for SAR data set re-normalisation,
for example, if |

`outpdf` |
character(optional): if specified, results of growth curve fitting will be written to
a PDF file named |

`outfile` |
character(optional): if specified, SAR data related quantities will be written
to a CSV file named |

Return an invisible list that contains the following elements:

`LMpars` |
a list containing optimized parameters of growth curves of selected SAR data sets |

`SARdata` |
a data.frame containing selected SAR data sets |

`norm.SARdata` |
a data.frame containing re-normalised SAR data sets, |

`agID` |
aliquot or grain ID (i.e., |

`summary.info` |
a summary of the SAR data selection |

analyseBINdata; fitGrowth;

lsNORM; calSARED

1 2 3 4 5 6 | ```
# Not run.
# data(BIN)
# obj_pickBIN <- pickBINdata(BIN, Position=1:48, Grain=0,
# LType="OSL", view=FALSE)
# obj_analyseBIN <- analyseBINdata(obj_pickBIN, nfchn=3, nlchn=20)
# pickSARdata(obj_analyseBIN, model="gok", fom.up=3, outpdf="SARdata")
``` |

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