Pretty table of recommendation scores — recommendation_table • fcaR

Turns the named numeric vector from implications$recommend() into a sorted data frame that is easy to read in the console or in Quarto.

Usage

recommendation_table(recoms, drop_zero = TRUE, query = NULL)

Arguments

recoms: Named numeric vector (as returned by $recommend()).
drop_zero: Logical; if TRUE (default), drop attributes with score 0 (not implied / not recommended).
query: Optional character vector of attributes that were in the original query. If set, adds a role column: "query", "recommended", or "not implied".

Value

A data frame with columns attribute, score, and optionally role. Rows are ordered by decreasing score, then name.

Examples

if (FALSE) { # \dontrun{
S <- attribute_set(fc, "Romantic", "Slow_burn")
recoms <- fc$implications$recommend(S, attribute_filter = fc$attributes)
recommendation_table(recoms)
} # }