as_analyseBIN: Transfom SAR data sets into S3 class object "analyseBIN"

In numOSL: Numeric Routines for Optically Stimulated Luminescence Dating

Transfom SAR data sets into S3 class object "analyseBIN"

Description

Transfom SAR data sets into S3 class object "analyseBIN".

Usage

as_analyseBIN(SARdata)

Arguments

SARdata

matrix(required): SAR data set, it should contain five columns (i.e., NO, SAR.Cycle, Dose, Signal, and Signal.Err), see SARdata for details

Value

Return an invisible list of S3 class object "analyseBIN" containing the following elements:

SARdata	a data.frame containing SAR data sets
criteria	values used as rejection criteria, here it is set equal to NULL
Tn	values of Tn and associated standard errors, here it is set equal to NULL
LnTn.curve	decay curves of Ln and Tn for different aliquots (grains), here it is set equal to NULL
TxTn	ratios of Tx to Tn for various SAR cycles, here it is set equal to NULL
agID	aliquot or grain ID (i.e., NO, Position, and Grain), here both Position and Grain are set equal to 0

SARdata is a data.frame containing the following elements:

Element	Description
NO	aliquot (grain) number
SAR.Cycle	SAR cycle (N, R1, R2, R3, ...)
Dose	regenerative dose
Signal	OSL signal
Signal.Err	standard error of OSL signal

Note

Function as_analyseBIN transforms SAR data sets (see SARdata) into S3 class object "analyseBIN". The returned elements such as criteria, Tn, LnTn.curve, and TxTn are set equal to NULL.

See Also

analyseBINdata; SARdata; calSARED; pickSARdata

Examples

  ### Example 1:
  data(SARdata)
  obj_analyseBIN <- as_analyseBIN(SARdata[1:8,,drop=FALSE])
  res_calSARED <- calSARED(obj_analyseBIN)
  res_calSARED$sarED

  ### Example 2 (not run):
  # obj_analyseBIN <- as_analyseBIN(SARdata)
  # res_calSARED <- calSARED(obj_analyseBIN, rcy1.range=c(1,1), outpdf="SARED")

  ### Example 3 (not run):
  # obj_analyseBIN <- as_analyseBIN(SARdata)
  # res_pickSARdata <- pickSARdata(obj_analyseBIN, fom.up=6, outpdf="SARdata")
  # res_pickSARdata$SARdata

numOSL documentation built on Sept. 18, 2023, 9:07 a.m.