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#' Combine positive and negative matrices
#'
#' Take positive and negative matrices and combine them by deleting redundat entities.
#' @param POSITIVE A matrix with positive entities information (Compound Name, Mass, RT, and multiple columns with the area of the compound in samples)
#' @param NEGATIVE A matrix with positive entities information (Compound Name, Mass, RT, and multiple columns with the area of the compound in samples)
#' @param CommonEntitiesFiltered The data set generated with the FilterbyRT function.
#' @examples
#' \dontrun{
#' CombinePolarities(POSITIVE,NEGATIVE,CommonEntitiesFiltered)
#' }
#' @export
CombinePolarities<-function(POSITIVE,NEGATIVE,CommonEntitiesFiltered) {e=2;
f=2;
IDtoDel=c("CpdIDtoDelete");
k=dim(CommonEntitiesFiltered);
nentities=k[1];
IDtoDelNeg = rbind(IDtoDel,c(0));
IDtoDelPos = rbind(IDtoDel,c(0));
d=1;
while(d<(nentities+1)){
if(CommonEntitiesFiltered[d,9]>CommonEntitiesFiltered[d,10]){
IDtoDelNeg[e] = CommonEntitiesFiltered[d,2];
e=e+1;
d=d+1;
}
else {
IDtoDelPos[f] = CommonEntitiesFiltered[d,1];
f=f+1;
d=d+1;
}
}
IDtoDelNegDef<-unique(IDtoDelNeg)
IDtoDelPosDef<-unique(IDtoDelPos)
POSITIVEDef<-POSITIVE[-which(POSITIVE[,1] %in% IDtoDelPosDef),]
NEGATIVEDef<-NEGATIVE[-which(NEGATIVE[,1] %in% IDtoDelNegDef),]
write.table(POSITIVEDef,file="Positive-Negative.csv",sep=",",row.names=FALSE,na="")
write.table(NEGATIVEDef,file="Positive-Negative.csv",sep=",",row.names=FALSE,col.names=FALSE,na="",append=TRUE)}
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