小提琴图（Betweenstats）

作者

[编辑] 郑虎;

[审核] .

修改于

2026-01-17

注记

Hiplot 网站

本页面为 Hiplot Betweenstats 插件的源码版本教程，您也可以使用 Hiplot 网站实现无代码绘图，更多信息请查看以下链接:

https://hiplot.cn/basic/ggbetweenstats?lang=zh_cn

环境配置

  • 系统: Cross-platform (Linux/MacOS/Windows)

  • 编程语言: R

  • 依赖包: data.table; jsonlite; ggstatsplot; ggplot2; cowplot

# 安装包
if (!requireNamespace("data.table", quietly = TRUE)) {
  install.packages("data.table")
}
if (!requireNamespace("jsonlite", quietly = TRUE)) {
  install.packages("jsonlite")
}
if (!requireNamespace("ggstatsplot", quietly = TRUE)) {
  install.packages("ggstatsplot")
}
if (!requireNamespace("ggplot2", quietly = TRUE)) {
  install.packages("ggplot2")
}
if (!requireNamespace("cowplot", quietly = TRUE)) {
  install.packages("cowplot")
}

# 加载包
library(data.table)
library(jsonlite)
library(ggstatsplot)
library(ggplot2)
library(cowplot)
sessioninfo::session_info("attached")
─ Session info ───────────────────────────────────────────────────────────────
 setting  value
 version  R version 4.5.2 (2025-10-31)
 os       Ubuntu 24.04.3 LTS
 system   x86_64, linux-gnu
 ui       X11
 language (EN)
 collate  C.UTF-8
 ctype    C.UTF-8
 tz       UTC
 date     2026-01-18
 pandoc   3.1.3 @ /usr/bin/ (via rmarkdown)
 quarto   1.8.27 @ /usr/local/bin/quarto

─ Packages ───────────────────────────────────────────────────────────────────
 package     * version date (UTC) lib source
 cowplot     * 1.2.0   2025-07-07 [1] RSPM
 data.table  * 1.18.0  2025-12-24 [1] RSPM
 ggplot2     * 4.0.1   2025-11-14 [1] RSPM
 ggstatsplot * 0.13.4  2025-12-09 [1] RSPM
 jsonlite    * 2.0.0   2025-03-27 [1] RSPM

 [1] /home/runner/work/_temp/Library
 [2] /opt/R/4.5.2/lib/R/site-library
 [3] /opt/R/4.5.2/lib/R/library
 * ── Packages attached to the search path.

──────────────────────────────────────────────────────────────────────────────

数据准备

# 加载数据
data <- data.table::fread(jsonlite::read_json("https://hiplot.cn/ui/basic/ggbetweenstats/data.json")$exampleData$textarea[[1]])
data <- as.data.frame(data)

# 整理数据格式
axis <- c("mpaa", "length", "genre")
data[, axis[1]] <- factor(data[, axis[1]], levels = unique(data[, axis[1]]))
data[, axis[3]] <- factor(data[, axis[3]], levels = unique(data[, axis[3]]))

# 查看数据
head(data)
                                                                 title year
1                       Lord of the Rings: The Return of the King, The 2003
2                   Lord of the Rings: The Fellowship of the Ring, The 2001
3                               Lord of the Rings: The Two Towers, The 2002
4                                                            Star Wars 1977
5                       Star Wars: Episode V - The Empire Strikes Back 1980
6 Dr. Strangelove or: How I Learned to Stop Worrying and Love the Bomb 1964
  length budget rating  votes  mpaa  genre
1    251   94.0    9.0 103631 PG-13 Action
2    208   93.0    8.8 157608 PG-13 Action
3    223   94.0    8.8 114797 PG-13 Action
4    125   11.0    8.8 134640    PG Action
5    129   18.0    8.8 103706    PG Action
6     93    1.8    8.7  63471    PG Comedy

可视化

# 小提琴图
g <- unique(data[,axis[3]])
plist <- list()
for (i in 1:length(g)) {
  fil <- data[,axis[3]] == g[i]
  plist[[i]] <- ggbetweenstats(
    data = data[fil,], x = mpaa, y = length,
    title= paste('', axis[3], g[i], sep = ':'),
    p.adjust.method = "holm",
    plot.type = "boxviolin",
    pairwise.comparisons = T,
    pairwise.display = "significant",
    effsize.type = "unbiased",
    notch = T,
    type = "parametric",
    plotgrid.args = list(ncol = 2)) +
    scale_color_manual(values = c("#00468BFF","#ED0000FF","#42B540FF"))
}
p <- plot_grid(plotlist = plist, ncol = 2)

p
图 1: 小提琴图