Violin Group

Authors

[Editor] Hu Zheng;

[Contributors]

Modified

2026-01-17

Note

Hiplot website

This page is the tutorial for source code version of the Hiplot Violin Group plugin. You can also use the Hiplot website to achieve no code ploting. For more information please see the following link:

https://hiplot.cn/basic/violin-group?lang=en

Violin and box plot of grouped data with T-test.

Setup

  • System Requirements: Cross-platform (Linux/MacOS/Windows)

  • Programming language: R

  • Dependent packages: data.table; jsonlite; ggpubr; ggthemes

# Install packages
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")
}

# Load packages
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     2026-01-17
 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.

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

Data Preparation

  • <1st-col>: (Numeric) value data
  • <2nd-col>: (String) 1st-rank groups
  • <3rd-col>: (String) 2nd-rank groups
# Load data
data <- data.table::fread(jsonlite::read_json("https://hiplot.cn/ui/basic/violin-group/data.json")$exampleData$textarea[[1]])
data <- as.data.frame(data)

# convert data structure
data[, 3] <- factor(data[, 3], levels = unique(data[, 3]))

# View data
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

Visualization

# Violin Group
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
FigureΒ 1: Violin Group