## ----setup, include = FALSE--------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.width = 6.5, fig.height = 5 ) has_ggplot2 <- requireNamespace("ggplot2", quietly = TRUE) ## ----cohort------------------------------------------------------------------- library(phontrast) head(vowel_cohort) table(vowel_cohort$speaker, vowel_cohort$vowel) ## ----rank--------------------------------------------------------------------- ranking <- rank_contrasts( data = vowel_cohort, features = c("f1", "f2"), category_col = "vowel", group_col = "speaker" ) ranking ## ----flagged------------------------------------------------------------------ ranking[ranking$flag %in% TRUE, c("group", "sqrt_jsd", "pillai", "pr_jsd", "pr_pillai", "rank_diff")] ## ----floors------------------------------------------------------------------- protocol_floors(2) ranking[, c("group", "n_min", "rank_licensed", "flag_licensed", "rank_basis", "flag")] ## ----agreement-plot, eval = has_ggplot2--------------------------------------- plot(ranking) ## ----bw-check----------------------------------------------------------------- ranking[, c("group", "sqrt_jsd_half", "sqrt_jsd_double", "bw_shift", "sign_change", "set_aside")] ## ----inspect, eval = has_ggplot2, fig.width = 8, fig.height = 4--------------- inspect_contrast(ranking, "spk09", reverse_x = TRUE, reverse_y = TRUE) ## ----estimator---------------------------------------------------------------- recommended_estimator(2)[c("tier", "bw", "engine", "eval_n", "loo")] recommended_estimator(8)[c("tier", "bw", "engine", "eval_n", "loo")] ## ----estimator-override, eval = FALSE----------------------------------------- # rank_contrasts( # vowel_cohort, c("f1", "f2"), "vowel", "speaker", # estimator = modifyList(recommended_estimator(2), list(bw = "scott.diag", engine = "fast_diag")) # ) ## ----measures----------------------------------------------------------------- one_speaker <- vowel_cohort[vowel_cohort$speaker == "spk05", ] phontrast( one_speaker, c("f1", "f2"), "vowel", metrics = c("js_distance", "pillai", "overlap", "tv", "bhattacharyya", "bhattacharyya_kde", "euclidean") )