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://r-graph-gallery.com/venn-diagram.html
venn网页工具:
http://bioinformatics.psb.ugent.be/webtools/Venn/
enn.diagram函数文档:
https://www.rdocumentation.org/packages/VennDiagram/versions/1.6.20/topics/venn.diagram
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