# 安装包
if (!requireNamespace("data.table", quietly = TRUE)) {
install.packages("data.table")
}
if (!requireNamespace("jsonlite", quietly = TRUE)) {
install.packages("jsonlite")
}
if (!requireNamespace("circlize", quietly = TRUE)) {
install.packages("circlize")
}
if (!requireNamespace("ggplotify", quietly = TRUE)) {
install.packages("ggplotify")
}
# 加载包
library(data.table)
library(jsonlite)
library(circlize)
library(ggplotify)弦图
注记
Hiplot 网站
本页面为 Hiplot Chord 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:
复杂的数据关系交互作用以和弦图的形式表现出来。
环境配置
系统: Cross-platform (Linux/MacOS/Windows)
编程语言: R
依赖包:
data.table;jsonlite;circlize;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
circlize * 0.4.17 2025-12-08 [1] RSPM
data.table * 1.18.0 2025-12-24 [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
基因与通路或基因本体相互作用的数据框架或矩阵。
# 加载数据
data <- data.table::fread(jsonlite::read_json("https://hiplot.cn/ui/basic/chord/data.json")$exampleData$textarea[[1]])
data <- as.data.frame(data)
# 整理数据格式
row.names(data) <- data[, 1]
data <- data[, -1]
data <- as.matrix(data)
# 查看数据
head(data) E1 E2 E3 E4 E5
S1 4 16 12 18 11
S2 7 11 2 15 10
S3 9 2 17 16 11
S4 14 9 12 3 17
S5 1 1 7 1 12
S6 10 18 9 13 9
可视化
# 弦图
Palette <- c("#E64B35FF","#4DBBD5FF","#00A087FF","#3C5488FF","#F39B7FFF",
"#8491B4FF","#91D1C2FF","#DC0000FF","#7E6148FF","#B09C85FF")
grid.col <- c(Palette, Palette, Palette[1:5])
p <- as.ggplot(function() {
chordDiagram(
data, grid.col = grid.col, grid.border = NULL, transparency = 0.5,
row.col = NULL, column.col = NULL, order = NULL,
directional = 0, # 1, -1, 0, 2
direction.type = "diffHeight", # diffHeight and arrows
diffHeight = convert_height(2, "mm"), reduce = 1e-5, xmax = NULL,
self.link = 2, symmetric = FALSE, keep.diagonal = FALSE,
preAllocateTracks = NULL,
annotationTrack = c("name", "grid", "axis"),
annotationTrackHeight = convert_height(c(3, 3), "mm"),
link.border = NA, link.lwd = par("lwd"), link.lty = par("lty"),
link.sort = FALSE, link.decreasing = TRUE, link.largest.ontop = FALSE,
link.visible = T, link.rank = NULL, link.overlap = FALSE,
scale = F, group = NULL, big.gap = 10, small.gap = 1
)
})
p
