R语言ggraph包绘制环状网络图

ggraph 是 ggplot2 的扩展，用于绘制关系型数据结构，如网络、图和树等。
ggraph 包含 3 个核心概念：
layout：定义图的布局，如蜂巢图、圆堆积图等
nodes：定义节点图形属性，使用 geom_node_*() 函数来控制
edges：定义边的图形属性，使用 geom_edge_*() 函数来控制

R 代码

# install.packages('ggraph')
# install.packages('tidygraph')

library(ggraph)
library(tidygraph)

# help(package=ggraph)
###1. 读入数据

m_data <- read.csv("/test/test.csv")
colnames(m_data) # [1] "from" "to" "Spearman_R" "P_value" "weight"

#节点数据
nodes <- data.frame(name = unique(union(m_data$from, m_data$to)))
nodes$survival_impact <- runif(23,0.0001,0.05)
nodes$cluster <- c(rep("cluster A",5),rep("cluster B",10),rep("cluster c",8))
nodes$role_type <- c(rep("Risk factors for OS",10),
                     rep("Favorable factors for OS",13))
#边数据
edges <- m_data[c("from","to","Spearman_R")]
edges$class <- ifelse(edges$Spearman_R>0, "Positive correlation with P < 0.0001", 
                      "Negative correlation with P < 0.0001")
g <- tbl_graph(nodes = nodes, edges = edges)
class(g) #[1] "tbl_graph" "igraph"  

###2. 绘制图形
# 自定义颜色映射
colors <- colorRampPalette(c("red", "orange", "blue"),space = "rgb")(3)

ggraph(g,layout='linear',circular = TRUE) +
#ggraph(g,layout='linear',circular = FALSE) +
#ggraph(g,layout='circle') +
  geom_node_point(aes(size=survival_impact,colour = cluster),
                  alpha = 0.5) +
  geom_node_text(aes(x = x*1.06, y=y*1.06, label=name,color=cluster),
                 angle=0,hjust=0, fontface="bold",size=3,family="Times") + # 设置点的注释
  scale_size_continuous(range = c(20, 1)) +  #设置点大小范围，可以设置值越小，点越大
  geom_node_point(size = 2,aes(colour = role_type))+
  scale_color_manual(values = c(colors,"green","black")) +
  #geom_edge_link(aes(colour = class,width=abs(Spearman_R)),alpha = 0.5) +
  #geom_edge_arc(alpha = 0.5) + #设置链接线为曲线， 
  # geom_edge_link(mapping = aes(edge_width = abs(Spearman_R), 
  #                              edge_color = class),   
  #                #arrow = arrow(length = unit(4, "mm")),
  #                #start_cap = circle(3, "mm"),              
  #                #end_cap = circle(3, "mm"),
  #                alpha = 0.5) +  
  geom_edge_bend(mapping = aes(edge_width = abs(Spearman_R), 
                               edge_color = class), 
                 strength = 0.02,alpha = 0.5) +
  scale_edge_colour_manual(values = c("lightblue","pink")) +
  scale_edge_width_continuous(range = c(0.5,5)) +
  theme_graph()
  #theme(legend.position="bottom") 
  
##注：ggplot2关于点大小，形状，颜色的映射
## 离散数据：scale_colour_manual，scale_fill_manual，scale_size_manual等
## 连续数据:scale_size,scale_radius,scale_size_continuous,scale_colour_continuous,
# scale_colour_gradient,scale_fill_gradient等

参考

https://www.e-learn.cn/tag/ggraph