双分组小提琴图

作者

[编辑] 郑虎;

[审核] .

修改于

2026-01-27

注记

Hiplot 网站

本页面为 Hiplot Violin Group 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/violin-group?lang=zh_cn

T检验分组数据的小提琴图和盒图。

环境配置

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

  • 编程语言: R

  • 依赖包: data.table; jsonlite; ggpubr; ggthemes

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

# 加载包
library(data.table)
library(jsonlite)
library(ggpubr)
library(ggthemes)
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     2026-01-28
 pandoc   3.1.3 @ /usr/bin/ (via rmarkdown)
 quarto   1.8.27 @ /usr/local/bin/quarto

─ Packages ───────────────────────────────────────────────────────────────────
 package    * version date (UTC) lib source
 data.table * 1.18.0  2025-12-24 [1] RSPM
 ggplot2    * 4.0.1   2025-11-14 [1] RSPM
 ggpubr     * 0.6.2   2025-10-17 [1] RSPM
 ggthemes   * 5.2.0   2025-11-30 [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

  • <1st col>：（数字）值数据
  • <2nd col>：（String）第1列组
  • <3rd col>：（字符串）第2列组
# 加载数据
data <- data.table::fread(jsonlite::read_json("https://hiplot.cn/ui/basic/violin-group/data.json")$exampleData$textarea[[1]])
data <- as.data.frame(data)

# 整理数据格式
data[, 3] <- factor(data[, 3], levels = unique(data[, 3]))

# 查看数据
head(data)
  Value Group1 Group2
1   4.2    low treat1
2  11.5    low treat1
3   7.3    low treat1
4   5.8    low treat1
5   6.4    low treat1
6  10.0    low treat1

可视化

# 双分组小提琴图
p <- ggviolin(data, x = "Group1", y = "Value", color = "Group2", add = "dotplot",
              add.params = list(fill = "white",size = 1), title = "Violin Diagram",
              xlab = "Group1", ylab = "Value", fill = "Group2",
              palette = c("#374E55FF", "#DF8F44FF"), alpha = 0.5, trim = F) +
  stat_compare_means(aes(group = data[, colnames(data)[3]]),
    method = "t.test", vjust = -6, label.x.npc = "left", label.y.npc = "top",
    tip.length = 0.03, bracket.size = 0.3, step.increase = 0, position = "identity",
    na.rm = FALSE, show.legend = NA, inherit.aes = TRUE, geom = "text") +
  theme_stata() +
  theme(text = element_text(family = "Arial"),
        plot.title = element_text(size = 12,hjust = 0.5),
        axis.title = element_text(size = 12),
        axis.text = element_text(size = 10),
        axis.text.x = element_text(angle = 0, hjust = 0.5,vjust = 1),
        legend.position = "right",
        legend.direction = "vertical",
        legend.title = element_text(size = 10),
        legend.text = element_text(size = 10))

p
图 1: 双分组小提琴图