Freeze for CRAN submission

NEWS

@@ -14,6 +14,12 @@ Changes in version 0.4.4 (19th, May 2015):
              • Add support for ‘...’ argument for ‘calc_OSLLxTxRatio()’
                arguments ‘background.count.distribution’ and ‘sigmab’.
 
+         • ‘Analyse_SAR.OSLdata()’
+
+             • Add support for ‘...’ argument for ‘calc_OSLLxTxRatio()’
+               arguments ‘background.count.distribution’ and ‘sigmab’
+               similar as done for the function ‘analyse_SAR.CWOSL()’.
+
          • ‘calc_OSLLxTxRatio()’
 
              • 'LxTx.Error' could become negative, which is not

R/Analyse_SAR.OSLdata.R

@@ -69,6 +69,9 @@
 #'
 #' @param cex.global \link{numeric} (with default): global scaling factor.
 #'
+#' #' @param \dots further arguments that will be passed to the function
+#' \code{\link{calc_OSLLxTxRatio}} (supported: \code{background.count.distribution} and \code{sigmab})
+#'
 #' @return A plot (optional) and \link{list} is returned containing the
 #' following elements: \item{LnLxTnTx}{\link{data.frame} of all calculated
 #' Lx/Tx values including signal, background counts and the dose points.}
@@ -77,6 +80,8 @@
 #' \item{SARParameters}{\link{data.frame} of additional measurement parameters
 #' obtained from the BIN file, e.g. preheat or read temperature (not valid for
 #' all types of measurements).}
+#'
+#'
 #' @note Rejection criteria are calculated but not considered during the
 #' analysis to discard values.\cr\cr
 #'
@@ -86,7 +91,11 @@
 #'
 #' \bold{The development of this function will not be continued. We recommend
 #' to use the function \link{analyse_SAR.CWOSL} or instead.}
-#' @section Function version: 0.2.15
+#'
+#'
+#' @section Function version: 0.2.16
+#'
+#'
 #' @author Sebastian Kreutzer, IRAMAT-CRP2A, Universite Bordeaux Montaigne
 #' (France), Margret C. Fuchs, TU Bergakademie Freiberg
 #' (Germany)
@@ -137,7 +146,8 @@ Analyse_SAR.OSLdata <- function(
   log = "",
   output.plot = FALSE,
   output.plot.single = FALSE,
-  cex.global = 1
+  cex.global = 1,
+  ...
 ){
 
   ##============================================================================##
@@ -174,6 +184,23 @@ Analyse_SAR.OSLdata <- function(
                                 "Dose",
                                 "Background")}
 
+
+  # Deal with extra arguments ----------------------------------------------------
+
+  ##deal with addition arguments
+  extraArgs <- list(...)
+
+  background.count.distribution <-
+    if ("background.count.distribution" %in% names(extraArgs)) {
+      extraArgs$background.count.distribution
+    } else
+    {
+      "non-poisson"
+    }
+
+  sigmab <- if("sigmab" %in% names(extraArgs)) {extraArgs$sigmab} else
+  {NULL}
+
   ##============================================================================##
   ##CALCULATIONS
   ##============================================================================##
@@ -237,18 +264,33 @@ Analyse_SAR.OSLdata <- function(
       ##(3) calculate Lx/Tx ratios
       for(k in 1:length(LnLxTnTx.curves[1,])){
         if(exists("LnLxTnTx")==FALSE){
-          LnLxTnTx<-get_RLum.Results(calc_OSLLxTxRatio(as.data.frame(LnLxTnTx.curves[1,k]),
-                                                       as.data.frame(LnLxTnTx.curves[2,k]),
-                                                       signal.integral,background.integral))
+          LnLxTnTx <-
+            get_RLum.Results(
+              calc_OSLLxTxRatio(
+                as.data.frame(LnLxTnTx.curves[1,k]),
+                as.data.frame(LnLxTnTx.curves[2,k]),
+                signal.integral,background.integral,
+                background.count.distribution = background.count.distribution,
+                sigmab = sigmab
+              )
+            )
+
         }else{
-          LnLxTnTx<-rbind(LnLxTnTx,get_RLum.Results(calc_OSLLxTxRatio(as.data.frame(LnLxTnTx.curves[1,k]),
-                                                                      as.data.frame(LnLxTnTx.curves[2,k]),
-                                                                      signal.integral,background.integral)))
+          LnLxTnTx <-
+            rbind(LnLxTnTx,get_RLum.Results(
+              calc_OSLLxTxRatio(
+                as.data.frame(LnLxTnTx.curves[1,k]),
+                as.data.frame(LnLxTnTx.curves[2,k]),
+                signal.integral,background.integral,
+                background.count.distribution = background.count.distribution,
+                sigmab = sigmab
+              )
+            ))
         }
       }
 
       ##finally combine to data.frame including the record ID for further analysis
-      LnLxTnTx<-cbind(LnLxTnTx,LnLx.curveID,TnTx.curveID)
+      LnLxTnTx <- cbind(LnLxTnTx,LnLx.curveID,TnTx.curveID)
 
       ##(4.1) set info concerning the kind of regeneration points
 

R/analyse_SAR.CWOSL.R

@@ -6,7 +6,9 @@
 #' The function performs an analysis for a standard SAR protocol measurements
 #' introduced by Murray and Wintle (2000) with CW-OSL curves. For the
 #' calculation of the Lx/Tx value the function \link{calc_OSLLxTxRatio} is
-#' used. \cr\cr
+#' used. For \bold{changing the way the Lx/Tx error is calculated} use the argument
+#' \code{background.count.distribution} and \code{sigmab}, which will be passed to the function
+#' \link{calc_OSLLxTxRatio}.\cr\cr
 #'
 #' \bold{Working with IRSL data}\cr\cr
 #'
@@ -287,7 +289,7 @@ object!")
       extraArgs$background.count.distribution
     } else
     {
-      "poisson"
+      "non-poisson"
     }
 
   sigmab <- if("sigmab" %in% names(extraArgs)) {extraArgs$sigmab} else

R/calc_OSLLxTxRatio.R

@@ -21,6 +21,11 @@
 #' \code{non-poisson}\cr \deqn{rse(\mu_{S}) \approx \sqrt(Y_{0} + Y_{1}/k^2 +
 #' \sigma^2(1+1/k))/Y_{0} - Y_{1}/k}
 #'
+#' \bold{Please note that when using the early background subtraction method in combination with the
+#' 'non-poisson' distribution argument, the corresponding Lx/Tx error may considerably increase due
+#' to a high sigmab value. Please check whether this is valid for your data set and  if necessary
+#' consider to provide an own sigmab value using the corresponding argument \code{sigmab}.}
+#'
 #' @param Lx.data \code{\linkS4class{RLum.Data.Curve}} or \link{data.frame}
 #' (\bold{required}): requires a CW-OSL shine down curve (x = time, y = counts)
 #'
@@ -289,7 +294,7 @@ calc_OSLLxTxRatio <- function(
 
     ##(c.2) estimate relative standard error for a non-poisson distribution
     if(background.count.distribution != "non-poisson"){
-      warning("Unknown value for background.count.distribution. A non-poisson distribution is assumed!")}
+      warning("Unknown method for background.count.distribution. A non-poisson distribution is assumed!")}
 
     LnLx.relError <- sqrt(Y.0 + Y.1/k^2 + sigmab.LnLx*(1+1/k))/
       (Y.0 - Y.1/k)

RLum.BuildResults/Luminescence_0.4.4-Function_Arguments.csv

@@ -12,7 +12,7 @@
 "slide.trend.corr",NA,"dots","output.plot",NA,NA,NA,NA,NA,NA,NA,NA,"plot",NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,"output.path","fit.trace",NA,NA,NA,NA,NA,NA,"summary.pos","par.local","output.plotExtended","dots","bw","legend.pos","dots",NA,NA,NA,"dots",NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
 "slide.show.density",NA,NA,"output.plot.single",NA,NA,NA,NA,NA,NA,NA,NA,"dots",NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,"output.terminal","fit.advanced",NA,NA,NA,NA,NA,NA,"legend","na.rm","output.plotExtended.single",NA,"output","stats",NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
 "plot",NA,NA,"cex.global",NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,"output.terminalAdvanced","fit.calcError",NA,NA,NA,NA,NA,NA,"legend.pos","dots","cex.global",NA,"dots","rug",NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
-"xlab.unit",NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,"plot","bg.subtraction",NA,NA,NA,NA,NA,NA,"stats",NA,"dots",NA,NA,"plot.ratio",NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+"xlab.unit",NA,NA,"dots",NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,"plot","bg.subtraction",NA,NA,NA,NA,NA,NA,"stats",NA,"dots",NA,NA,"plot.ratio",NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
 "legend.pos",NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,"dots","output.path",NA,NA,NA,NA,NA,NA,"rug",NA,NA,NA,NA,"bar.col",NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
 "dots",NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,"output.terminal",NA,NA,NA,NA,NA,NA,"kde",NA,NA,NA,NA,"y.ticks",NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
 NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,"output.terminaladvanced",NA,NA,NA,NA,NA,NA,"hist",NA,NA,NA,NA,"grid.col",NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA

RLum.BuildResults/Luminescence_0.4.4-Functions.csv

@@ -3,9 +3,9 @@
 ","<br /> Sebastian Kreutzer, IRAMAT-CRP2A, Universite Bordeaux Montaigne<br /> (France)<br />  R Luminescence Package Team"
 "analyse_pIRIRSequence","Analyse post-IR IRSL sequences","<br /> The function performs an analysis of post-IR IRSL sequences including curve<br /> fitting on  RLum.Analysis  objects.<br />","0.1.4","2015-04-30","11:47:40
 ","<br /> Sebastian Kreutzer, IRAMAT-CRP2A, Universite Bordeaux Montaigne<br /> (France)<br />  R Luminescence Package Team"
-"analyse_SAR.CWOSL","Analyse SAR CW-OSL measurements","<br /> The function performs a SAR CW-OSL analysis on an<br /> RLum.Analysis  object including growth curve fitting.<br />","0.5.3","2015-05-10","15:12:52
+"analyse_SAR.CWOSL","Analyse SAR CW-OSL measurements","<br /> The function performs a SAR CW-OSL analysis on an<br /> RLum.Analysis  object including growth curve fitting.<br />","0.5.3","2015-05-19","16:05:34
 ","<br /> Sebastian Kreutzer, IRAMAT-CRP2A, Universite Bordeaux Montaigne<br /> (France)<br />  R Luminescence Package Team"
-"Analyse_SAR.OSLdata","Analyse SAR CW-OSL measurements.","<br /> The function analyses SAR CW-OSL curve data and provides a summary of the<br /> measured data for every position. The output of the function is optimised<br /> for SAR OSL measurements on quartz.<br />","0.2.15","2015-05-10","15:12:52
+"Analyse_SAR.OSLdata","Analyse SAR CW-OSL measurements.","<br /> The function analyses SAR CW-OSL curve data and provides a summary of the<br /> measured data for every position. The output of the function is optimised<br /> for SAR OSL measurements on quartz.<br />","0.2.16","2015-05-19","16:13:07
 ","<br /> Sebastian Kreutzer, IRAMAT-CRP2A, Universite Bordeaux Montaigne<br /> (France), Margret C. Fuchs, TU Bergakademie Freiberg<br /> (Germany)<br />  R Luminescence Package Team"
 "analyse_SAR.TL","Analyse SAR TL measurements","<br /> The function performs a SAR TL analysis on a<br /> RLum.Analysis  object including growth curve fitting.<br />","0.1.4","2015-04-30","11:49:25
 ","<br /> Sebastian Kreutzer, IRAMAT-CRP2A, Universite Bordeaux Montaigne (France)<br />  R Luminescence Package Team"
@@ -36,7 +36,7 @@
 ","<br /> Christoph Burow, University of Cologne (Germany)   Based on a<br /> rewritten S script of Rex Galbraith, 2010  <br />  R Luminescence Package Team"
 "calc_MinDose","Apply the (un-)logged minimum age model (MAM) after Galbraith et al. (1999)<br /> to a given De distribution","<br /> Function to fit the (un-)logged three or four parameter minimum dose model<br /> (MAM-3/4) to De data.<br />","0.4.1","2015-04-30","11:53:53
 ","<br /> Christoph Burow, University of Cologne (Germany)   Based on a<br /> rewritten S script of Rex Galbraith, 2010   The bootstrap approach is<br /> based on a rewritten MATLAB script of Alastair Cunningham.   Alastair<br /> Cunningham is thanked for his help in implementing and cross-checking the<br /> code.<br />  R Luminescence Package Team"
-"calc_OSLLxTxRatio","Calculate Lx/Tx ratio for CW-OSL curves","<br /> Calculate Lx/Tx ratios from a given set of CW-OSL curves.<br />","0.5.1","2015-05-10","15:12:52
+"calc_OSLLxTxRatio","Calculate Lx/Tx ratio for CW-OSL curves","<br /> Calculate Lx/Tx ratios from a given set of CW-OSL curves.<br />","0.5.1","2015-05-19","16:03:06
 ","<br /> Sebastian Kreutzer, IRAMAT-CRP2A, Universite Bordeaux Montaigne<br /> (France)<br />  R Luminescence Package Team"
 "calc_SourceDoseRate","Calculation of the source dose rate via the date of measurement","<br /> Calculating the dose rate of the irradiation source via the date of<br /> measurement based on: source calibration date, source dose rate, dose rate<br /> error. The function returns a data.frame that provides the input argument<br /> dose_rate for the function  Second2Gray .<br />","0.1","2015-04-30","11:54:25
 ","<br /> Margret C. Fuchs, AWI Potsdam (Germany),   Sebastian Kreutzer,<br /> IRAMAT-CRP2A, Universite Bordeaux Montaigne (France)<br />  R Luminescence Package Team"

RLum.BuildResults/Luminescence_0.4.4-Functions.tex

@@ -1,5 +1,5 @@
 % latex table generated in R 3.3.0 by xtable 1.7-4 package
-% Mon May 18 11:01:15 2015
+% Tue May 19 16:22:14 2015
 \begin{table}[ht]
 \centering
 \begin{tabular}{rlllllll}
@@ -10,9 +10,9 @@
  & $<$br /$>$ Sebastian Kreutzer, IRAMAT-CRP2A, Universite Bordeaux Montaigne$<$br /$>$ (France)$<$br /$>$  R Luminescence Package Team \\ 
   2 & analyse\_pIRIRSequence & Analyse post-IR IRSL sequences & $<$br /$>$ The function performs an analysis of post-IR IRSL sequences including curve$<$br /$>$ fitting on  RLum.Analysis  objects.$<$br /$>$ & 0.1.4 & 2015-04-30 & 11:47:40
  & $<$br /$>$ Sebastian Kreutzer, IRAMAT-CRP2A, Universite Bordeaux Montaigne$<$br /$>$ (France)$<$br /$>$  R Luminescence Package Team \\ 
-  3 & analyse\_SAR.CWOSL & Analyse SAR CW-OSL measurements & $<$br /$>$ The function performs a SAR CW-OSL analysis on an$<$br /$>$ RLum.Analysis  object including growth curve fitting.$<$br /$>$ & 0.5.3 & 2015-05-10 & 15:12:52
+  3 & analyse\_SAR.CWOSL & Analyse SAR CW-OSL measurements & $<$br /$>$ The function performs a SAR CW-OSL analysis on an$<$br /$>$ RLum.Analysis  object including growth curve fitting.$<$br /$>$ & 0.5.3 & 2015-05-19 & 16:05:34
  & $<$br /$>$ Sebastian Kreutzer, IRAMAT-CRP2A, Universite Bordeaux Montaigne$<$br /$>$ (France)$<$br /$>$  R Luminescence Package Team \\ 
-  4 & Analyse\_SAR.OSLdata & Analyse SAR CW-OSL measurements. & $<$br /$>$ The function analyses SAR CW-OSL curve data and provides a summary of the$<$br /$>$ measured data for every position. The output of the function is optimised$<$br /$>$ for SAR OSL measurements on quartz.$<$br /$>$ & 0.2.15 & 2015-05-10 & 15:12:52
+  4 & Analyse\_SAR.OSLdata & Analyse SAR CW-OSL measurements. & $<$br /$>$ The function analyses SAR CW-OSL curve data and provides a summary of the$<$br /$>$ measured data for every position. The output of the function is optimised$<$br /$>$ for SAR OSL measurements on quartz.$<$br /$>$ & 0.2.16 & 2015-05-19 & 16:13:07
  & $<$br /$>$ Sebastian Kreutzer, IRAMAT-CRP2A, Universite Bordeaux Montaigne$<$br /$>$ (France), Margret C. Fuchs, TU Bergakademie Freiberg$<$br /$>$ (Germany)$<$br /$>$  R Luminescence Package Team \\ 
   5 & analyse\_SAR.TL & Analyse SAR TL measurements & $<$br /$>$ The function performs a SAR TL analysis on a$<$br /$>$ RLum.Analysis  object including growth curve fitting.$<$br /$>$ & 0.1.4 & 2015-04-30 & 11:49:25
  & $<$br /$>$ Sebastian Kreutzer, IRAMAT-CRP2A, Universite Bordeaux Montaigne (France)$<$br /$>$  R Luminescence Package Team \\ 
@@ -43,7 +43,7 @@
  & $<$br /$>$ Christoph Burow, University of Cologne (Germany)   Based on a$<$br /$>$ rewritten S script of Rex Galbraith, 2010  $<$br /$>$  R Luminescence Package Team \\ 
   19 & calc\_MinDose & Apply the (un-)logged minimum age model (MAM) after Galbraith et al. (1999)$<$br /$>$ to a given De distribution & $<$br /$>$ Function to fit the (un-)logged three or four parameter minimum dose model$<$br /$>$ (MAM-3/4) to De data.$<$br /$>$ & 0.4.1 & 2015-04-30 & 11:53:53
  & $<$br /$>$ Christoph Burow, University of Cologne (Germany)   Based on a$<$br /$>$ rewritten S script of Rex Galbraith, 2010   The bootstrap approach is$<$br /$>$ based on a rewritten MATLAB script of Alastair Cunningham.   Alastair$<$br /$>$ Cunningham is thanked for his help in implementing and cross-checking the$<$br /$>$ code.$<$br /$>$  R Luminescence Package Team \\ 
-  20 & calc\_OSLLxTxRatio & Calculate Lx/Tx ratio for CW-OSL curves & $<$br /$>$ Calculate Lx/Tx ratios from a given set of CW-OSL curves.$<$br /$>$ & 0.5.1 & 2015-05-10 & 15:12:52
+  20 & calc\_OSLLxTxRatio & Calculate Lx/Tx ratio for CW-OSL curves & $<$br /$>$ Calculate Lx/Tx ratios from a given set of CW-OSL curves.$<$br /$>$ & 0.5.1 & 2015-05-19 & 16:03:06
  & $<$br /$>$ Sebastian Kreutzer, IRAMAT-CRP2A, Universite Bordeaux Montaigne$<$br /$>$ (France)$<$br /$>$  R Luminescence Package Team \\ 
   21 & calc\_SourceDoseRate & Calculation of the source dose rate via the date of measurement & $<$br /$>$ Calculating the dose rate of the irradiation source via the date of$<$br /$>$ measurement based on: source calibration date, source dose rate, dose rate$<$br /$>$ error. The function returns a data.frame that provides the input argument$<$br /$>$ dose\_rate for the function  Second2Gray .$<$br /$>$ & 0.1 & 2015-04-30 & 11:54:25
  & $<$br /$>$ Margret C. Fuchs, AWI Potsdam (Germany),   Sebastian Kreutzer,$<$br /$>$ IRAMAT-CRP2A, Universite Bordeaux Montaigne (France)$<$br /$>$  R Luminescence Package Team \\ 

RLum.BuildScripts/Luminescence_0.4.4-Functions.html

@@ -101,9 +101,9 @@ <h4 align="center"> [version: 0.4.4 ]</h4>
 </td>
 <td class=cellinside>0.5.3
 </td>
-<td class=cellinside>2015-05-10
+<td class=cellinside>2015-05-19
 </td>
-<td class=cellinside>15:12:52
+<td class=cellinside>16:05:34
 
 </td>
 <td class=cellinside><br /> Sebastian Kreutzer, IRAMAT-CRP2A, Universite Bordeaux Montaigne<br /> (France)<br />  R Luminescence Package Team
@@ -118,11 +118,11 @@ <h4 align="center"> [version: 0.4.4 ]</h4>
 </td>
 <td class=cellinside><br /> The function analyses SAR CW-OSL curve data and provides a summary of the<br /> measured data for every position. The output of the function is optimised<br /> for SAR OSL measurements on quartz.<br />
 </td>
-<td class=cellinside>0.2.15
+<td class=cellinside>0.2.16
 </td>
-<td class=cellinside>2015-05-10
+<td class=cellinside>2015-05-19
 </td>
-<td class=cellinside>15:12:52
+<td class=cellinside>16:13:07
 
 </td>
 <td class=cellinside><br /> Sebastian Kreutzer, IRAMAT-CRP2A, Universite Bordeaux Montaigne<br /> (France), Margret C. Fuchs, TU Bergakademie Freiberg<br /> (Germany)<br />  R Luminescence Package Team
@@ -423,9 +423,9 @@ <h4 align="center"> [version: 0.4.4 ]</h4>
 </td>
 <td class=cellinside>0.5.1
 </td>
-<td class=cellinside>2015-05-10
+<td class=cellinside>2015-05-19
 </td>
-<td class=cellinside>15:12:52
+<td class=cellinside>16:03:06
 
 </td>
 <td class=cellinside><br /> Sebastian Kreutzer, IRAMAT-CRP2A, Universite Bordeaux Montaigne<br /> (France)<br />  R Luminescence Package Team

inst/NEWS.Rd

@@ -24,6 +24,14 @@
 
    }
 
+  \item \code{Analyse_SAR.OSLdata()}
+
+  \itemize{
+    \item Add support for \code{...} argument for \code{calc_OSLLxTxRatio()} arguments
+    \code{background.count.distribution} and \code{sigmab} similar as done for the function \code{analyse_SAR.CWOSL()}.
+
+   }
+
   \item \code{calc_OSLLxTxRatio()}
 
   \itemize{

man/Analyse_SAR.OSLdata.Rd

@@ -7,7 +7,7 @@
 Analyse_SAR.OSLdata(input.data, signal.integral, background.integral, position,
   run, set, dtype, keep.SEL = FALSE,
   info.measurement = "unkown measurement", log = "", output.plot = FALSE,
-  output.plot.single = FALSE, cex.global = 1)
+  output.plot.single = FALSE, cex.global = 1, ...)
 }
 \arguments{
 \item{input.data}{\link{Risoe.BINfileData-class} (\bold{required}): input
@@ -57,7 +57,12 @@ logarithmic and "xy" or "yx" if both axes are to be logarithmic. See
 (\code{TRUE/FALSE}) to allow for plotting the results in single plot
 windows. Requires \code{output.plot = TRUE}.}
 
-\item{cex.global}{\link{numeric} (with default): global scaling factor.}
+\item{cex.global}{\link{numeric} (with default): global scaling factor.
+
+#'}
+
+\item{\dots}{further arguments that will be passed to the function
+\code{\link{calc_OSLLxTxRatio}} (supported: \code{background.count.distribution} and \code{sigmab})}
 }
 \value{
 A plot (optional) and \link{list} is returned containing the
@@ -103,7 +108,7 @@ consider using the functions \code{\link{analyse_SAR.CWOSL}} or
 to use the function \link{analyse_SAR.CWOSL} or instead.}
 }
 \section{Function version}{
- 0.2.15 (2015-05-10 15:12:52)
+ 0.2.16 (2015-05-19 16:13:07)
 }
 \examples{
 ##load data