## 1.导入R包
library("VennDiagram")
library("rio")
## 2.设置当前工作目录
if (length(path) != 0) {
setwd(path)
} else {
setwd("./")
}
## 3.读取提前准备好的数据
venn_data_index <- list.files(path = "./", pattern = "^venn_data")
venn_data <- import(venn_data_index)
## 4.韦恩图数据集大小判断及绘图
if (length(colnames(venn_data)) == 2){
venn_list <- list(venn_data[,1], venn_data[,2])
names(venn_list) <- colnames(venn_data)
venn.diagram(venn_list, filename = paste0("venn_two_sets_plot.",imagetype), imagetype = imagetype, margin = 0.1, fill = c('red', 'blue'), alpha = 0.50, col = 'black', cex = 1, fontfamily = 'serif', cat.col = c('black', 'black'), cat.cex = 1, cat.fontfamily = 'serif', cat.default.pos = "outer")
print("====================================================================")
print("两组的数据的venn图绘制完成！")
print("====================================================================")
} else if (length(colnames(venn_data)) == 3){
venn_list <- list(venn_data[,1], venn_data[,2], venn_data[,3])
names(venn_list) <- colnames(venn_data)
venn.diagram(venn_list, filename = paste0("venn_three_sets_plot.",imagetype), imagetype = imagetype, margin = 0.1, fill = c('red', 'blue', 'green'), alpha = 0.50, col = 'black', cex = 1, fontfamily = 'serif', label.col = c("darkred", "white", "darkblue", "white", "white", "white", "darkgreen"), col = "transparent", cat.cex = 1, cat.fontfamily = 'serif', cat.default.pos = "text", cat.pos = 0)
print("====================================================================")
print("三组的数据的venn图绘制完成！")
print("====================================================================")
} else if (length(colnames(venn_data)) == 4){
venn_list <- list(venn_data[,1], venn_data[,2], venn_data[,3], venn_data[,4])
names(venn_list) <- colnames(venn_data)
venn.diagram(venn_list, filename = paste0("Venn_four_sets_plot.",imagetype), imagetype = imagetype, col = "black", lty = "dotted", lwd = 3, fill = c("cornflowerblue", "green", "yellow", "darkorchid1"), alpha = 0.50, label.col = c("orange", "white", "darkorchid4", "white", "white", "white", "white", "white", "darkblue", "white", "white", "white", "white", "darkgreen", "white"), cex = 2.0, fontfamily = "serif", fontface = "bold", cat.col = c("darkblue", "darkgreen", "orange", "darkorchid4"), cat.cex = 1.8, cat.fontface = "bold", cat.fontfamily = "serif")
print("====================================================================")
print("四组的数据的venn图绘制完成！")
print("====================================================================")
} else if (length(colnames(venn_data)) == 5){
venn_list <- list(venn_data[,1], venn_data[,2], venn_data[,3], venn_data[,4], venn_data[,5])
names(venn_list) <- colnames(venn_data)
venn.diagram(venn_list, filename = paste0("venn_five_sets_plot.",imagetype), imagetype = imagetype, lty = "dotted", lwd = 2, col = "black", fill = c("dodgerblue", "goldenrod1", "darkorange1", "seagreen3", "orchid3"), alpha = 0.60, cat.col = c("dodgerblue", "goldenrod1", "darkorange1", "seagreen3", "orchid3"), cat.cex = 0.8, cat.fontface = "bold", margin = 0.07, cex = 0.8)
print("====================================================================")
print("五组的数据的venn图绘制完成！")
print("====================================================================")
}
## 5.打印绘制韦恩图所需要的R包版本信息和环境变量
sessionInfo()
## 6.结果展示
## 7.说明
颜色和数据都是可以自己根据需要进行调整的，然后就是可以绘制的数据集的限制，此维恩图包只支持绘制5个数据集，如果超出五个就需要用其他工具进行可视化分析了，下期介绍如何使用R绘制花瓣图！此博文如对您有所帮助，请点赞加关注，有问题欢迎讨论！
