diff --git a/RBBGCMuso/R/musoMonte.R b/RBBGCMuso/R/musoMonte.R
index b10d030..550240c 100644
--- a/RBBGCMuso/R/musoMonte.R
+++ b/RBBGCMuso/R/musoMonte.R
@@ -1,18 +1,18 @@
 #' musoMonte
 #'
-#' This function does monteCarlo on BiomeBGC-MuSo. It samples specified modell variables in given rangge from conditional multivariate uniform distribution, and runs the modell for each run.
-#' @author Roland Hollos
-#' @param settings A list of montecarlos environmental variables. It is generated by the setupMuso() function. In default the settings parameter is generated automatically. 
-#' @param parameters This is a dataframe (heterogen data-matrix), which first column is the name of the parameters, the second is a numeric vector of the rownumbers of the given variable in the epc-fie, the last two column consist the endpont of the parameter-ranges, where the parameters will be randomized.
-#' @param calibrationPar You may want to change some parameters in your epc file, before you run the modell. You have to select the appropirate modell parameters. You can refence to these with the number of the line in the epc file where the variables are. It indexes from one. You should use a vector for this, like: c(1,5,8)
-#' @param inputDir The location of the input directory, this directory must content a viable pack of all inputfiles and the executable file. 
-#' @param iterations number of the monteCarlo run.
-#' @param preTag It will be the name of the output files. For example preTag-1.csv, pretag-2csv...
-#' @param outputType  This parameter can be "oneCsv", "moreCsv", and "netCDF". If "oneCsv" is choosen the function create 1 big csv file for all of the runs, if "moreCsv" is choosen, every modell output goes to separate files, if netCDF is selected the outputs will be put in a netCDF file. The default value of the outputTypes is "moreCsv". netCDF is not implemented yet. 
-#' @param fun If you select a variable from the possible outputs (with specify the varIndex parameter), you have to provide a function which maps to a subset of real numbers. The most frequent possibilities are: mean, min, max, var, but you can define any function for your need.
-#' @param varIndex This parameter specify which parameter of the output will be used. You can extract this information from the ini-files. At the output parameter specifications, the parameters order will determine this number. For example, if you have set these output parameters: 412, 874, 926, 888, and you want to use 926, you should address varIndex with 3.
-#' @param debugging If you set this parameter, you can save every logfile, and RBBGCMuso will select those which contains errors.
-#' @param keepEpc if you set keepEpc also true, it will save every selected epc file, and put the wrong ones in the WRONGEPC directory.
+#' This function executes the Monte Carlo experiment with Biome-BGCMuSo (musoRand is called by this function). It samples the selected  model parameters within user defined ranges from conditional multivariate uniform distribution, and then runs the model for each run.
+#' @author Roland HOLLOS
+#' @param settings A list of environmental variables for the Monte Carlo experiment. These settings are generated by the setupMuso function. By default the settings parameter is generated automatically. 
+#' @param parameters This is a dataframe (heterogeneous data-matrix), where the first column is the name of the parameter, the second is a numeric vector of the rownumbers of the given variable in the input EPC file, and the last two columns describe the minimum and the maximum of the parameter (i.e. the parameter ranges), defining the interval for the randomization.
+#' @param calibrationPar You might want to change some parameters in your EPC file before you run the modell. You have to select the appropirate model parameters here. You can refer to the parameters by the number of the line in the EPC file where the variables are defined. The indexing of the lines starts at 1, and each line matters (like in any simple text file). You should use a vector for this selection like c(1,5,8)
+#' @param inputDir The location of the input directory for the Biome-BGCMuSo model. This directory must contain a viable pack of all input files and the model executable file.  
+#' @param iterations Number of the monteCarlo simulations.
+#' @param preTag This defines the name of the output files. This tag will be re-used so that the results will be like preTag-1.csv, preTag-2csv...
+#' @param outputType  This parameter can be "oneCsv", "moreCsv", and "netCDF". If "oneCsv" is chosen the function creates one large csv file for all of the runs. If "moreCsv" is chosen, every model output goes to separate files. If netCDF is selected the output will be stored in a netCDF file. The default value of the outputTypes is "moreCsv". Note that netCDF is not implemented yet. 
+#' @param fun If you select a variable from the possible outputs (by using the varIndex parameter), you have to provide a function which maps to a subset of real numbers. The most frequent possibilities are: mean, min, max, var, but you can define any function for your needs.
+#' @param varIndex This parameter specifies which parameter will be used for the Monte Carlo experimnt from the output list of Biome-BGCMuSo (defined by the INI file). You can extract this information from the INI files. At the output parameter specifications, the parameter order will determine this number. For example, if you have set these output parameters: 412, 874, 926, 888, and you want to use 926 for the experiment, you should specify varIndex as 3. 
+#' @param debugging If you set this parameter, you can save every logfile, and RBBGCMuso will select those which contains errors. This is useful to study why the model crashes with a given parameter set. 
+#' @param keepEpc If you set keepEpc as TRUE, it will save every selected EPC file, and move the wrong ones into the WRONGEPC directory.
 #' @export
 
 musoMonte <- function(settings=NULL,