超过6个数据集的韦恩图（veen plot）绘制

超过6个数据集的韦恩图（veen plot）绘制

这里使用的工具是发表在iMeta杂志上的ggVennDiagram 引用

install.packages("ggVennDiagram")
library(ggVennDiagram)dataf = read.table('../data/seven_dataset.csv', sep = ',', header = 1)# 这里是7个数据集，每个数据集为1列
colnames(dataf)
# [1] "A" "B" "C" "D" "E" "F" "G"# 这里将数据集的名称和数据列对应起来
x <- list(`A (5218)`=dataf$A[dataf$A != ""],`B (2976)`=dataf$B[dataf$B != ""],`C (10850)`=dataf$C[dataf$C != ""],`D (14132)`=dataf$D[dataf$D != ""],`E (40451)`=dataf$E[dataf$E != ""],`F (19321)`=dataf$F[dataf$F != ""],`G (7,266)`=dataf$G[dataf$G != ""])library(ggplot2)
ggVennDiagram(x, label = "count",label_alpha=0,label_geom='label',edge_size=1.5,set_size = 6,set_color = c("#1f77b4", "#ff7f0e", "#2ca02c", "#d62728", "#9467bd", "#8c564b", "#e377c2"))+#scale_fill_distiller(palette = "PiYG")scale_fill_gradientn(colours = c("white")) + theme(legend.position = '')

结果如下：

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