漏斗图

作者

[编辑] 郑虎;

[审核] .

修改于

2026-01-27

注记

Hiplot 网站

本页面为 Hiplot Funnel 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/funnel-plot?lang=zh_cn

可以用于分析 Meta 分析结果中潜在偏倚因子。

环境配置

系统: Cross-platform (Linux/MacOS/Windows)
编程语言: R
依赖包: data.table; jsonlite; FunnelPlotR; gridExtra

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

# 加载包
library(data.table)
library(jsonlite)
library(FunnelPlotR)
library(gridExtra)

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
 FunnelPlotR * 0.6.0   2025-07-23 [1] RSPM
 gridExtra   * 2.3     2017-09-09 [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.

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

数据准备

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

# 查看数据
head(data)

  los hmo white died age80 type type1 type2 type3 provnum     prds
1   4   0     1    0     0    1     1     0     0   30001 9.667315
2   9   1     1    0     0    1     1     0     0   30001 8.956472
3   3   1     1    1     1    1     1     0     0   30001 6.856678
4   9   0     1    0     0    1     1     0     0   30001 9.667315
5   1   0     1    1     1    1     1     0     0   30001 7.400868
6   4   0     1    1     0    1     1     0     0   30001 7.561051

可视化

# 漏斗图
p <- funnel_plot(
  data, numerator = los, denominator = prds,  group = provnum, data_type = "SR",
  limit = 99, label = "outlier", sr_method = "SHMI", trim_by=0.1, 
  title = "Funnel Plot", x_range = "auto", y_range = "auto"
  )

p

A funnel plot object with 54 points of which 9 are outliers. 
Plot is adjusted for overdispersion.