Nothing
knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
library(ggVennDiagram) library(ggplot2)
With ggVennDiagram version less than 1.0, it only support 2-4 set Venn.
By importing the polygon from venn
, ggVennDiagram
now supports 5-7 sets Venn.
genes <- paste0("gene",1:1000) set.seed(20210507) x <- list(A = sample(genes,100), B = sample(genes,150), C = sample(genes,200), D = sample(genes,250), E = sample(genes,300), F = sample(genes,350), G = sample(genes,400))
ggVennDiagram(x, label = "none", edge_size = 2) + scale_fill_distiller(palette = "RdBu") ggVennDiagram(x[1:6], label = "none", edge_size = 2) + scale_fill_distiller(palette = "RdBu") ggVennDiagram(x[1:5], label = "none", edge_size = 2) + scale_fill_distiller(palette = "RdBu")
Although ggVennDiagram supports 5-7 sets Venn diagram, I don't encourage to use them in scientific publications as it is difficult to separate the border of different sets in the plot (even with thick edges), especially for 7 and 6 sets Venn. Upset plot is a possible solution for these datasets. You may check a discussion of the Applications of Venn, Euler and Upset plot.
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