## ----include = FALSE---------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>", dev = "ragg_png", dpi = 100, fig.width = 7.36, out.width = "100%" ) # Frames have a fixed aspect ratio, so each figure is sized from the race it # draws rather than left to stretch. inches <- function(x) unname(ggextreme::race_size(x)[["height"]]) / 100 ## ----setup-------------------------------------------------------------------- library(ggextreme) ## ----------------------------------------------------------------------------- head(clefts_qci) ## ----------------------------------------------------------------------------- race <- ggrace( clefts_qci, value = qci, name = country, time = year, top_n = 15, duration = 15, title = "Quality of care for orofacial clefts", caption = "Source: Sofi-Mahmudi et al. 2025, PLOS ONE 20(1): e0317267" ) race ## ----------------------------------------------------------------------------- head(race$frames) ## ----first-frame, fig.height = inches(race)----------------------------------- race_frame(race, 1) ## ----last-frame, fig.height = inches(race)------------------------------------ race_frame(race, race$n_frames) ## ----eval = FALSE------------------------------------------------------------- # animate_race(race, "clefts.mp4") # animate_race(race, "clefts.gif") ## ----top-ten, fig.height = 4.6------------------------------------------------ top10 <- ggrace( clefts_qci, qci, country, year, top_n = 10, duration = 15, title = "Ten highest scoring countries" ) race_frame(top10, round(top10$n_frames / 2)) ## ----groups, fig.height = 5.73------------------------------------------------ regional <- ggrace( clefts_qci, qci, country, year, group = region, legend_title = "Region", top_n = 15, duration = 15, breaks = scales::breaks_extended(6), title = "Quality of care for orofacial clefts" ) race_frame(regional, regional$n_frames) ## ----flags, eval = requireNamespace("magick", quietly = TRUE) && requireNamespace("rsvg", quietly = TRUE)---- key <- unique(clefts_qci[c("country", "iso")]) flags <- setNames(race_flags(key$iso), key$country) flagged <- ggrace( clefts_qci, qci, country, year, top_n = 15, duration = 15, images = flags, breaks = scales::breaks_extended(6), title = "Quality of care for orofacial clefts" ) flagged ## ----------------------------------------------------------------------------- subset(race_flag_codes(), grepl("Korea|Turk", country))