Ridge

Authors

[Editor] Hu Zheng;

[Contributors]

Modified

2026-01-27

Note

Hiplot website

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

The ridge map is a graph that connects points and forms a ridge.

Setup

System Requirements: Cross-platform (Linux/MacOS/Windows)
Programming language: R
Dependent packages: data.table; jsonlite; ggridges; ggplot2; ggthemes

# Install packages
if (!requireNamespace("data.table", quietly = TRUE)) {
  install.packages("data.table")
}
if (!requireNamespace("jsonlite", quietly = TRUE)) {
  install.packages("jsonlite")
}
if (!requireNamespace("ggridges", quietly = TRUE)) {
  install.packages("ggridges")
}
if (!requireNamespace("ggplot2", quietly = TRUE)) {
  install.packages("ggplot2")
}
if (!requireNamespace("ggthemes", quietly = TRUE)) {
  install.packages("ggthemes")
}

# Load packages
library(data.table)
library(jsonlite)
library(ggridges)
library(ggplot2)
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     2026-01-27
 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
 ggridges   * 0.5.7   2025-08-27 [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

The loaded data are three groups and their corresponding values.

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

# Convert data structure
data$group <- factor(data$group, levels = unique(data$group)[length(unique(data$group)):1])

# View data
head(data)

  value group
1   5.1    G1
2   4.9    G1
3   4.7    G1
4   4.6    G1
5   5.0    G1
6   5.4    G1

Visualization

# Ridge
p <- ggplot(data, aes(x = value, y = group, fill = group, col = group)) +
  geom_density_ridges(scale = 5, alpha = 0.8) +
  labs(x = "value", y = "group") +
  theme(plot.title = element_text(hjust = 0.5),
        legend.position = "none") +
  ggtitle("Ridge Plot") +
  guides(color = guide_legend(reverse = TRUE),
         fill = guide_legend(reverse = TRUE)) +
  scale_fill_manual(values = c("#e04d39","#5bbad6","#1e9f86")) +
  scale_color_manual(values = c("#e04d39","#5bbad6","#1e9f86")) +
  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

Different colors represent different groups, and the approximate degree of data can be observed.