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众所周知，可以使用geom_split_violin( Split violin plot with ggplot2 ) 绘制分割小提琴图。

# Package
library("ggplot2")

# Function
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$y))) {
    stopifnot(all(draw_quantiles >= 0), all(draw_quantiles <=
      1))
    quantiles <- ggplot2:::create_quantile_segment_frame(data, draw_quantiles)
    aesthetics <- data[rep(1, nrow(quantiles)), setdiff(names(data), c("x", "y")), drop = FALSE]
    aesthetics$alpha <- rep(1, nrow(quantiles))
    both <- cbind(quantiles, aesthetics)
    quantile_grob <- GeomPath$draw_panel(both, ...)
    ggplot2:::ggname("geom_split_violin", grid::grobTree(GeomPolygon$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, ...))
}

# Data
set.seed(20160229)
my_data = data.frame(
    y=c(rnorm(1000), rnorm(1000, 0.5), rnorm(1000, 1), rnorm(1000, 1.5)),
    x=c(rep('a', 2000), rep('b', 2000)),
    m=c(rep('i', 1000), rep('j', 2000), rep('i', 1000))
)

# Figure1
ggplot(my_data, aes(x, y, fill = m)) + geom_split_violin(width = 1)

图1

在这里，我想分别为左半小提琴和右半小提琴设置不同的宽度值（例如，0.2 和 1）。这是我的尝试：

# Figure 2
ggplot(my_data, aes(x, y, fill = m)) + geom_split_violin(width = c(0.2, 1))

图2

希望左半部小提琴比图 1 中的小，右半部小提琴与图 1 中的相同。

4

1 回答 1

3

我在下面的代码中添加了一个新参数，作为现有密度高度的相对比例乘数：

# Function
GeomSplitViolin <- ggproto(
  "GeomSplitViolin", GeomViolin, 
  draw_group = function(self, data, rel.scale, ..., draw_quantiles = NULL) {

    grp <- data[1, "group"]
    rel.scale <- rel.scale / max(rel.scale) # rescale to (0, 1] range
    rel.scale <- rel.scale[ifelse(grp %% 2 == 1, 1, 2)] # keep only first OR second part of relative scale

    data <- transform(data, 
                      xminv = x - violinwidth * (x - xmin) * rel.scale,  # apply scale multiplier
                      xmaxv = x + violinwidth * (xmax - x) * rel.scale)
    
    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$y))) {
      stopifnot(all(draw_quantiles >= 0), all(draw_quantiles <=
                                                1))
      quantiles <- ggplot2:::create_quantile_segment_frame(data, draw_quantiles)
      aesthetics <- data[rep(1, nrow(quantiles)), setdiff(names(data), c("x", "y")), drop = FALSE]
      aesthetics$alpha <- rep(1, nrow(quantiles))
      both <- cbind(quantiles, aesthetics)
      quantile_grob <- GeomPath$draw_panel(both, ...)
      ggplot2:::ggname("geom_split_violin", grid::grobTree(GeomPolygon$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, rel.scale = c(1, 1)) {
  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, 
                      rel.scale = rel.scale, ...))
}

用法（仅为第一个图显示的图像）：

ggplot(my_data, aes(x, y, fill = m)) +
  geom_split_violin(rel.scale = c(0.2, 1))

# equivalent to above
ggplot(my_data, aes(x, y, fill = m)) +
  geom_split_violin(rel.scale = c(1, 5))

# multipler can be applied on top of existing scale / width parameters
ggplot(my_data, aes(x, y, fill = m)) +
  geom_split_violin(scale = "count", rel.scale = c(1, 5))
ggplot(my_data, aes(x, y, fill = m)) +
  geom_split_violin(width = 0.5, rel.scale = c(1, 5))

结果

于 2020-12-22T10:48:04.677 回答