Produce one or more 'clean' performance subtables

These functions take the `estimates`, `criteria`, and `alternativeLabels` objects and produce one or more clean performance subtables.

performanceSubtable_from_estimates(
  estimates,
  criteria,
  alternativeLabels,
  parentCriterion_id,
  criterionLabels,
  decision_id,
  decision_label,
  estimateColumn = "all",
  humanReadableOnly = FALSE
)

all_performanceSubtables_from_estimates(
  estimates,
  criteria,
  alternativeLabels,
  parentCriterionOrder,
  criterionLabels,
  decisionOrder,
  decisionLabels,
  estimateColumn = "all",
  humanReadableOnly = FALSE
)

Arguments

estimates	The `estimates` object.
criteria	The `criteri` object.
alternativeLabels	The `alternativeLabels` object.
parentCriterion_id	The identifier of the criterion cluster (parent criterion) for which to produce the performance subtable.
criterionLabels	The named vector with criterion (and parent criterion) labels.
decision_id	The identifier of the decisions for which to produce the performance subtable.
decision_label	The decision labels.
estimateColumn	The column with the estimates; this can be changed to, for example, the column with the estimates of a specific scorer, or the weighted estimates, etc.
humanReadableOnly	Whether to strip the columns with the decision identifiers and the alternative values (if `humanReadableOnly=TRUE`).
parentCriterionOrder	The vector with the parent criterion identifiers to process (in the right order).
decisionOrder	The vector with the decision identifiers to process (in the right order).
decisionLabels	The named vector with decision labels.

Value

For `performanceSubtable_from_estimates()`, a data frame; for `all_performanceSubtables_from_estimates()`, a list of lists of data frames.