比例韦恩图

作者

[编辑] 郑虎;

[审核] .

修改于

2026-01-27

注记

Hiplot 网站

本页面为 Hiplot Eulerr Plot 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/eulerr?lang=zh_cn

环境配置

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

  • 编程语言: R

  • 依赖包: data.table; jsonlite; eulerr; ggplotify

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

# 加载包
library(data.table)
library(jsonlite)
library(eulerr)
library(ggplotify)
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
 eulerr     * 7.0.4   2025-09-24 [1] RSPM
 ggplotify  * 0.1.3   2025-09-20 [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

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

# 整理数据格式
genes <- as.numeric(data[, 2])
names(genes) <- as.character(data[, 1])
euler_set <- euler(genes)
  
# 查看数据
head(data)
      Term Value
1       SE    13
2    Treat    28
3 Anti-CCP   101
4    DAS28    91
5 SE&Treat     1
6 SE&DAS28    14

可视化

# 比例韦恩图
fill <- c("#3B4992FF","#EE0000FF","#008B45FF","#631879FF","#008280FF","#BB0021FF",
          "#5F559BFF","#A20056FF")
p <- as.ggplot(
  plot(euler_set,
    labels = list(col = rep("white", length(genes))),
    fills = list(fill = fill),
    quantities = list(type = c("percent", "counts"),
    col = rep("white", length(genes))),
    main = "Eulerr")
)

p
图 1: 比例韦恩图