## ----include = FALSE---------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ## ----setup-------------------------------------------------------------------- library(levitate) ## ----------------------------------------------------------------------------- head(hotel_rooms) ## ----------------------------------------------------------------------------- df <- hotel_rooms df$lev_ratio <- lev_ratio(df$expedia, df$booking) df$lev_partial_ratio <- lev_partial_ratio(df$expedia, df$booking) df$lev_token_sort_ratio <- lev_token_sort_ratio(df$expedia, df$booking) df$lev_token_set_ratio <- lev_token_set_ratio(df$expedia, df$booking) ## ----------------------------------------------------------------------------- best_match <- function(a, b, FUN) { scores <- FUN(a = a, b = b) best <- order(scores, decreasing = TRUE)[1L] b[best] } best_match("cat", c("cot", "dog", "frog"), lev_ratio) ## ----------------------------------------------------------------------------- best_match_by_fun <- function(FUN) { best_matches <- character(nrow(hotel_rooms)) for (i in seq_along(best_matches)) { best_matches[i] <- best_match(hotel_rooms$expedia[i], hotel_rooms$booking, FUN) } best_matches } df$lev_ratio_best_match <- best_match_by_fun(FUN = lev_ratio) df$lev_partial_ratio_best_match <- best_match_by_fun(FUN = lev_partial_ratio) df$lev_token_sort_ratio_best_match <- best_match_by_fun(FUN = lev_token_sort_ratio) df$lev_token_set_ratio_best_match <- best_match_by_fun(FUN = lev_token_set_ratio) ## ----------------------------------------------------------------------------- message("`lev_ratio()`: ", sum(df$lev_ratio_best_match == df$booking) / nrow(df)) message("`lev_partial_ratio()`: ", sum(df$lev_partial_ratio_best_match == df$booking) / nrow(df)) message("`lev_token_sort_ratio()`: ", sum(df$lev_token_sort_ratio_best_match == df$booking) / nrow(df)) message("`lev_token_set_ratio()`: ", sum(df$lev_token_set_ratio_best_match == df$booking) / nrow(df))