stackoverflow.com/questions/49120060/...

построить графики половинных плотностей, я использую функцию, описанную в этом посте:Сплит скрипичный сюжет с ggplot2

Однако, когда я хочу нарисовать квантили на плотности, как на нормальномgeom_violin() или жеgeom_boxplot()Я получаю сообщение об ошибке.

Мне также было бы интересно добавить количество наблюдений над каждой половиной плотности.

Вот пример того, что я хотел бы получить:

data("diamonds")
library(ggplot2)

# Function described in a previous post
GeomSplitViolin <- ggproto("GeomSplitViolin", GeomViolin, draw_group = function(self, data, ..., draw_quantiles = NULL){
  data <- transform(data, xminv = x - violinwidth * (x - xmin), xmaxv = x + violinwidth * (xmax - x))
  grp <- data[1,'group']
  newdata <- plyr::arrange(transform(data, x = if(grp%%2==1) xminv else xmaxv), if(grp%%2==1) y else -y)
  newdata <- rbind(newdata[1, ], newdata, newdata[nrow(newdata), ], newdata[1, ])
  newdata[c(1,nrow(newdata)-1,nrow(newdata)), 'x'] <- round(newdata[1, 'x']) 
  if (length(draw_quantiles) > 0 & !scales::zero_range(range(data$y))) {
    stopifnot(all(draw_quantiles >= 0), all(draw_quantiles <= 
                                              1))
    quantiles <- create_quantile_segment_frame(data, draw_quantiles)
    aesthetics <- data[rep(1, nrow(quantiles)), setdiff(names(data), c("x", "y")), drop = FALSE]
    aesthetics$alpha <- rep(1, nrow(quantiles))
    both <- cbind(quantiles, aesthetics)
    quantile_grob <- GeomPath$draw_panel(both, ...)
    ggplot2:::ggname("geom_split_violin", grobTree(GeomPolygon$draw_panel(newdata, ...), quantile_grob))
  }
  else {
    ggplot2:::ggname("geom_split_violin", GeomPolygon$draw_panel(newdata, ...))
  }
})

geom_split_violin <- function (mapping = NULL, data = NULL, stat = "ydensity", position = "identity", ..., draw_quantiles = NULL, trim = TRUE, scale = "area", na.rm = FALSE, show.legend = NA, inherit.aes = TRUE) {
  layer(data = data, mapping = mapping, stat = stat, geom = GeomSplitViolin, position = position, show.legend = show.legend, inherit.aes = inherit.aes, params = list(trim = trim, scale = scale, draw_quantiles = draw_quantiles, na.rm = na.rm, ...))
}

tmp <- diamonds[which(diamonds$cut %in% c("Fair", "Good")), ]

# Obtained plot
ggplot(tmp, aes(as.factor(color), carat, fill = cut)) +
  geom_split_violin()

# Error due to internal functions (interleave, ...)
ggplot(tmp, aes(as.factor(color), carat, fill = cut)) +
  geom_split_violin(draw_quantiles = 0.5)

# Function to return number of observation
give_n = function(x, y_up = y_upper) {
  data.frame(y = y_up * 1.06,
             label = paste("n =", length(x))
  )
}

# Code to add number of observations above each half density
new_plot = given_plot +
  # Give back only length of data
  stat_summary(fun.data = give_n, aes(x = as.factor(variable)), geom = "text")

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