#' Adaptation of variables of imported data to changes applied to the ROI profiles
#'
#' @param imported_data List with typical elements necessary to perform quantification of ROIs.
#'
#' @return Changed imported data
#' @export renew_imported_data
renew_imported_data= function(imported_data) {
imported_data$signals_names=paste(imported_data$ROI_data[which(!is.na(imported_data$ROI_data[, 1])),4],imported_data$ROI_data[which(!is.na(imported_data$ROI_data[, 1])),5],sep='_')
dummy=matrix(NaN,nrow(imported_data$dataset),length(imported_data$signals_names),dimnames=list(imported_data$Experiments,imported_data$signals_names))
imported_data$final_output = list(quantification= dummy,signal_area_ratio = dummy,fitting_error = dummy, chemical_shift = dummy,intensity = dummy, half_bandwidth = dummy)
#creation of list of necessary parameters to load quantifications and evaluate quality of them
imported_data$reproducibility_data=vector('list',length(imported_data$Experiments))
for (i in seq_along(imported_data$reproducibility_data)) imported_data$reproducibility_data[[i]]=vector('list',length(imported_data$signals_names))
for (i in seq_along(imported_data$reproducibility_data)) {
for (j in seq_along(imported_data$reproducibility_data[[i]])) {
imported_data$reproducibility_data[[i]][[j]]=list(Ydata=NULL,Xdata=NULL,ROI_profile=NULL,program_parameters=NULL,plot_data=NULL,FeaturesMatrix=NULL,signals_parameters=NULL,results_to_save=NULL,error1=1000000)
}}
return(imported_data)
}
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