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#' Consistency / retention "indices"
#'
#' `Consistency()` calculates the so-called consistency and retention "indices"
#' for each character in a dataset, given a bifurcating tree.
#' Although there is not a straightforward interpretation of these indices,
#' they are sometimes taken as an indicator of the fit of a character to a
#' tree. Values correlate with the number of species sampled and the
#' distribution of taxa between character states, so are not strictly comparable
#' between characters in which these factors differ.
#'
#' #TODO: Retention index not yet implemented.
#'
#' @template datasetParam
#' @template treeParam
#' @template compressParam
#'
#' @return `Consistency()` returns a named vector specifying the
#' consistency index (`ci`),
#' retention index (`ri`), and rescaled consistency index (`rc`).
#'
#' @examples
#' data(inapplicable.datasets)
#' dataset <- inapplicable.phyData[[4]]
#' Consistency(dataset, TreeTools::NJTree(dataset))
#' @template MRS
#' @export
Consistency <- function (dataset, tree, compress = FALSE) {
ci <- MinimumLength(dataset, compress = TRUE) /
CharacterLength(tree, dataset, compress = TRUE)
# Return:
if (compress) {
ci
} else {
ci[attr(dataset, "index")]
}
}
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