# 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)GGPubr Boxplot
Note
Hiplot website
This page is the tutorial for source code version of the Hiplot GGPubr Boxplot plugin. You can also use the Hiplot website to achieve no code ploting. For more information please see the following link:
Feature-rich boxplot (GGPubr interface).
Setup
System Requirements: Cross-platform (Linux/MacOS/Windows)
Programming language: R
Dependent packages:
data.table;jsonlite;ggpubr;ggthemes
sessioninfo::session_info("attached")β Session info βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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
β Packages βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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
* ββ Packages attached to the search path.
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Data Preparation
# Load data
data <- data.table::fread(jsonlite::read_json("https://hiplot.cn/ui/basic/ggpubr-boxplot/data.json")$exampleData$textarea[[1]])
data <- as.data.frame(data)
# View data
head(data) len supp dose
1 4.2 VC 0.5
2 11.5 VC 0.5
3 7.3 VC 0.5
4 5.8 VC 0.5
5 6.4 VC 0.5
6 10.0 VC 0.5
Visualization
# GGPubr Boxplot
p <- ggboxplot(
data = data, x = "supp", y = "len", facet.by = "dose",
merge = T,
color = "supp",
fill = "white") +
stat_compare_means(
label = "p.signif",
label.x.npc = "center",
method = "wilcox") +
scale_y_continuous(expand = expansion(mult = c(0.2, 0.2))) +
scale_fill_manual(values = c("#e04d39","#5bbad6")) +
ggtitle("Complex Boxplot") +
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
