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‘ggVennDiagram
’ enables fancy Venn plot with 2-7 sets
and generates publication quality figure.
You can install the released version of ggVennDiagram from CRAN with:
And the development version from GitHub with:
Generate example data.
If you use long category names in Venn plot, labels may be cropped by plot borders. To avoid this, just use a ggplot trick to expand x axis.
p1 <- ggVennDiagram(gene_list,
category.names = c("a very long name","short name","name","another name"))
p1
When intersection values only have several members,
ggVennDiagram
is efficient to show the values in
places.
ggVennDiagram(gene_list, label = "count")
ggVennDiagram(gene_list, label = "percent")
ggVennDiagram(gene_list, label = "both")
ggVennDiagram(gene_list, label = "none")
geom_text()
library(ggplot2)
p <- ggVennDiagram(gene_list)
# Red Blue
p + scale_fill_distiller(palette = "RdBu")
Some other palletes are:
p + labs(title = "Fancy Venn Diagram of four sets",
subtitle = "Generated by `ggVennDiagram`",
caption = Sys.Date())
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.