导读

使用VennDiagram函数包中的venn.diagram函数绘制三数据集venn图。

安装依赖包：

# venn图
install.packages("VennDiagram")
library(VennDiagram)

一、模拟输入

产生3个含200字符串的数据集

set1 <- paste(rep("word_" , 200) , sample(c(1:1000) , 200 , replace=F) , sep="")
set2 <- paste(rep("word_" , 200) , sample(c(1:1000) , 200 , replace=F) , sep="")
set3 <- paste(rep("word_" , 200) , sample(c(1:1000) , 200 , replace=F) , sep="")
set4 <- paste(rep("word_" , 200) , sample(c(1:1000) , 200 , replace=F) , sep="")
set5 <- paste(rep("word_" , 200) , sample(c(1:1000) , 200 , replace=F) , sep="")

sample(x, size, replace=F) # 不放回抽样

二、venn基础图

1 两个圈

venn.diagram(
  x = list(set1, set2),
  category.names = c("Set 1" , "Set 2 "),
  filename = 'venn.png',
  output=TRUE
)

2 三个圈

venn.diagram(
  x = list(set1, set2, set3),
  category.names = c("Set 1" , "Set 2 " , "Set 3"),
  filename = 'venn.png',
  output=TRUE
)

3 四个圈

venn.diagram(
  x = list(set1, set2, set3, set4),
  category.names = c("Set 1" , "Set 2 " , "Set 3", "Set 4"),
  filename = 'venn.png',
  output=TRUE
)

4 五个圈

venn.diagram(
  x = list(set1, set2, set3, set4, set5),
  category.names = c("Set 1" , "Set 2 " , "Set 3", "Set 4", "Set 5"),
  filename = 'venn.png',
  output=TRUE
)

三、个性化参数调整

library(RColorBrewer)
color <- brewer.pal(3, "Set3")

# Chart
venn.diagram(
        x = list(set1, set2, set3),
        category.names = c("Set 1" , "Set 2 " , "Set 3"),
        filename = 'venn2.png',
        output=TRUE,
        
        # 输出
        imagetype="png" ,  # 类型（tiff png svg）
        #height = 1000 ,   # 高度
        #width = 1000 ,   # 宽度
        resolution = 400,  # 分辨率
        compression = "lzw",  # 压缩算法
        
        # 圈
        lwd = 5,  # 圈线条粗细 1 2 3 4 5
        lty = 1,  # 线条类型, 1 实线, 2 虚线, blank 无线条
        fill = color,  # 填充色
        col = c("red", 'green', 'blue'),  # 线条色

        # 数字 number
        cex = 2,  # 数字大小
        fontface = "bold",  # 加粗
        fontfamily = "sans",  # 字体

        # 标签 category
        cat.cex = 2,  # 字体大小
        cat.col = c("red", 'green', 'blue'),  # 字体色
        cat.fontface = "bold",  # 加粗
        cat.default.pos = "outer",  # 位置, outer 内 text 外
        cat.pos = c(-27, 27, 135),  # 位置，用圆的度数
        cat.dist = c(0.055, 0.055, 0.085),  # 位置，离圆的距离
        cat.fontfamily = "sans",  # 字体
        rotation = 1  # 1 2 3 旋转确定大打头数据集
)

四、保存

1 绘图待保存

library(RColorBrewer)

p = venn.diagram(
  x = list(set1, set2, set3, set4, set5),
  category.names = c("Set 1" , "Set 2 " , "Set 3", "Set 4", "Set 5"),
  # filename = 'venn.png',
  filename = NULL,
  output=TRUE,

  fill = brewer.pal(5, "Set2"),
  col = brewer.pal(5, "Set3"),
  fontface = "bold",
  cat.col = brewer.pal(5, "Set3"),
  cat.fontface = "bold"
)

2 保存为PDF

pdf("venn-pdf.pdf")
grid.draw(p)
dev.off()

3 保存为PNG

png("venn-png.png")
grid.draw(p)
dev.off()

更多参数：

col = NA  # 边框设为无色

参考：https://www.r-graph-gallery.com/14-venn-diagramm.html
venn网页工具：http://bioinformatics.psb.ugent.be/webtools/Venn/
venn.diagram函数文档: https://www.rdocumentation.org/packages/VennDiagram/versions/1.6.20/topics/venn.diagram
The R Graph Gallery绘图教程：https://www.r-graph-gallery.com/index.html