#' Alignment of signals of the dataset through the CluPA algorithm provided by the speaq package.
#'
#' @param dataset The 1D NMR dataset where to align signals
#' @param buck_step The bucketing of the dataset (e.g. 0.001)
#'
#' @return aligneddataset The dataset with the signals aligned
#' @export alignment
#' @import speaq
#'
#' @examples
#' setwd(paste(system.file(package = "rDolphin"),"extdata",sep='/'))
#' imported_data=import_data("Parameters_MTBLS242_15spectra_5groups.csv")
#' aligned_data=alignment(imported_data$dataset,imported_data$buck_step)
alignment=function(dataset,buck_step) {
print('Be patient. Gonna take a while. You should be writing, meanwhile.')
peakList <- speaq::detectSpecPeaks(dataset,
nDivRange = c(128),
scales = seq(1, 16, 2),
baselineThresh = quantile(dataset,0.60,na.rm=T),
SNR.Th = -1,
verbose=FALSE
);
resFindRef<- speaq::findRef(peakList);
refInd <- resFindRef$refInd;
maxShift = 0.025/buck_step;
aligneddataset <- speaq::dohCluster(dataset,
peakList = peakList,
refInd = refInd,
maxShift = maxShift,
acceptLostPeak = TRUE, verbose=FALSE);
print('Done!')
aligneddataset[is.na(aligneddataset)]=0
return(aligneddataset)
}
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