Betweenstats

Authors

[Editor] Hu Zheng;

[Contributors]

Modified

2026-01-17

Note

Hiplot website

This page is the tutorial for source code version of the Hiplot Betweenstats 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/ggbetweenstats?lang=en

Setup

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

  • Programming language: R

  • Dependent packages: data.table; jsonlite; ggstatsplot; ggplot2; cowplot

# Install packages
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")
}

# Load packages
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     2026-01-17
 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.

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

Data Preparation

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

# Convert data structure
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]]))

# View data
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

Visualization

# Betweenstats
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
FigureΒ 1: Betweenstats