pickBINdata: BIN data set selection

Description Usage Arguments Details Value References See Also Examples

View source: R/pickBINdata.R

Description

Extracting data sets from a loaded BIN (BINX) file.

Usage

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pickBINdata(obj_loadBIN, Position = NULL, Grain = NULL, 
            Run = NULL, Set = NULL, DType = NULL, 
            IRRTime = NULL, NPoints = NULL, LType = NULL, 
            Low = NULL, High = NULL, Rate = NULL, 
            Temperature = NULL, Delay = NULL, On = NULL, 
            Off = NULL, LightSource = NULL, AnTemp = NULL, 
            TimeSinceIrr = NULL, view = TRUE, 
            manual.select = FALSE, force.matrix = FALSE)

Arguments

obj_loadBIN

list(required): an object of S3 class "loadBIN" produced by
function loadBINdata

Position

vector(optional): carousel position, Example: Position=1:48

Grain

vector(optional): grain number

Run

vector(optional): run number

Set

vector(optional): set number

DType

character(optional): a character vector indicating data type,
Example: DType=c("Natural", "N+dose")

IRRTime

vector(optional): irradiation time

NPoints

vector(optional): number of data points

LType

character(optional): a character vector indicating luminescence types,
Example: LType="OSL"

Low

vector(optional): lower limit on temperature, time, or wavelength

High

vector(optional): upper limit on temperature, time, or wavelength

Rate

vector(optional): increasing rate of temperature, time, or wavelength

Temperature

vector(optional): a vector indicating the sample temperatures

Delay

vector(optional): TOL "delay" channels

On

vector(optional): TOL "on" channels

Off

vector(optional): TOL "off" channels

LightSource

character(optional): a character vector indicating light source,
Example: LightSource="BlueDiodes"

AnTemp

vector(optional): annealing temperature

TimeSinceIrr

vector(optional): time since irradiation

view

logical(with default): logical value indicating if the loaded data should be
visualized in a Summary Table

manual.select

logical(with default): logical value indicating if the loaded data should be
selected manually using a Summary Table

force.matrix

logical(with default): logical value indicating if the picked data sets of an aliquot (grain) should be transformed into a matrix

Details

Function pickBINdata is used for pick up data sets from an object of S3 class "loadBIN" generated using function loadBINdata. Set force.matrix=TRUE will transform data sets of an aliquot (grain) into a matrix, the transformation fails if data sets have different x (temperature, time, or wavelength) coordinates. Transformed data sets stored in a matrix can be visualize via matplot (see examples).

Value

Return an invisible list of S3 class object "pickBIN" containing two elements:

BINdata

selected BIN data

agID

Aliquot or grain ID (i.e., c("NO","Position","Grain")) of selected data sets, it returns NULL if force.matrix=TRUE

References

Duller GAT, 2016. Analyst (v4.31.9), User Mannual.

See Also

loadBINdata; analyseBINdata; BIN;
decomp; fastED

Examples

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   ### Example 1 (visualize decay curves for Position=2):
   data(BIN)
   obj_pickBIN <- pickBINdata(BIN, Position=2, view=FALSE,
                              LType="OSL", force.matrix=TRUE)
   matplot(obj_pickBIN$BINdata[[1]][,1], 
           obj_pickBIN$BINdata[[1]][,-1], 
           main="Decay curves",
           xlab="Stimulation time (s)",
           ylab="Photon counts",
           type="l", log="xy")

  ### Example 2 (visualize test-dose decay curves for Position=2):
  obj_pickBIN <- pickBINdata(BIN, Position=2, Run=c(5,11,17,23,29,34,40), 
                             view=FALSE, LType="OSL", force.matrix=TRUE)
  matplot(obj_pickBIN$BINdata[[1]][,1], 
          obj_pickBIN$BINdata[[1]][,-1], 
          main="Test-dose decay curves",
          xlab="Stimulation time (s)",
          ylab="Photon counts",
          type="l", log="xy")

  ### Example 3 (visualize regenerative-dose decay curves for Position=2):
  obj_pickBIN <- pickBINdata(BIN, Position=2, Run=c(8,14,20,26,31,37), 
                             view=FALSE, LType="OSL", force.matrix=TRUE)
  matplot(obj_pickBIN$BINdata[[1]][,1], 
          obj_pickBIN$BINdata[[1]][,-1], 
          main="Regenerative-dose decay curves",
          xlab="Stimulation time (s)",
          ylab="Photon counts",
          type="l", log="xy")

numOSL documentation built on May 1, 2019, 8:45 p.m.