#' @section Sets workflows: With a \link[=sets-workflow]{sets workflow}, annotation is first performed for each set.
#' This is important, since the annotation algorithms typically cannot work with data from mixed ionization modes. The
#' annotation results are then combined to generate a \emph{sets consensus}: \itemize{
#'
#' \item The annotation tables for each feature group from the set specific data are combined. Rows with overlapping
#' candidates (determined by the <%=UID%>) are merged.
#'
#' \item Set specific data (\emph{e.g.} the ionic formula) is retained by renaming their columns with set specific
#' names.
#'
#' \item The MS/MS fragment annotations (\code{fragInfo} column) from each set are combined.
#'
#' \item The scorings for each set are averaged to calculate overall scores. if \code{setAvgSpecificScores=FALSE} then
#' scorings that are considered set specific (\emph{e.g.} MS/MS and isotopic pattern match) are \emph{not} averaged.
#'
#' \item The candidates are re-ranked based on their average ranking among the set data (if a candidate is absent in a
#' set it is assigned the poorest rank in that set).
#'
#' \item The coverage of each candidate among sets is calculated. Depending on the \code{setThreshold} and
#' \code{setThresholdAnn} arguments, candidates with low abundance are removed.
#'
#' }
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