ggvenn

Venn Diagram by ggplot2, with really easy-to-use API. This package is inspired by Venny

Installation

if (!require(devtools)) install.packages("devtools")
devtools::install_github("yanlinlin82/ggvenn")

Quick Start

This package supports both list and data.frame type data as input.

For list data (each element is a set):

library(ggvenn)

a <- list(`Set 1` = c(1, 3, 5, 7, 9),
          `Set 2` = c(1, 5, 9, 13),
          `Set 3` = c(1, 2, 8, 9),
          `Set 4` = c(6, 7, 10, 12))
ggvenn(a, c("Set 1", "Set 2"))            # draw two-set venn
ggvenn(a, c("Set 1", "Set 2", "Set 3"))   # draw three-set venn
ggvenn(a)   # without set names, the first 4 elements in list will be chose to draw four-set venn

For data.frame data (each logical column is a set):

d <- tibble(value   = c(1, 2, 3, 5, 6, 7, 8, 9, 10, 12, 13),
            `Set 1` = c(T, F, T, T, F, T, F, T, F,  F,  F),
            `Set 2` = c(T, F, F, T, F, F, F, T, F,  F,  T),
            `Set 3` = c(T, T, F, F, F, F, T, T, F,  F,  F),
            `Set 4` = c(F, F, F, F, T, T, F, F, T,  T,  F))
ggvenn(d, c("Set 1", "Set 2"))           # draw two-set venn
ggvenn(d, c("Set 1", "Set 2", "Set 3"))  # draw three-set venn
ggvenn(d)   # without set names, the first 4 logical column in data.frame will be chose to draw four-set venn

For data.frame data, there is also another way to plot in ggplot grammar:

# draw two-set venn (use A, B in aes)
ggplot(d, aes(A = `Set 1`, B = `Set 2`)) +
  geom_venn() + theme_void() + coord_fixed()

# draw three-set venn (use A, B, C in aes)
ggplot(d, aes(A = `Set 1`, B = `Set 2`, C = `Set 3`)) +
  geom_venn() + theme_void() + coord_fixed()

# draw four-set venn (use A, B, C, D in aes)
ggplot(d, aes(A = `Set 1`, B = `Set 2`, C = `Set 3`, D = `Set 4`)) +
  geom_venn() + theme_void() + coord_fixed()

Screenshots

More Options

There are more options for customizing the venn diagram.

1. Tune the color and size

   For filling:

   • fill_color - default is c("blue", "yellow", "green", "red")
   • fill_alpha - default is 0.5

   For stroke:

   • stroke_color - default is "black"
   • stroke_alpha - default is 1
   • stroke_size - default is 1
   • stroke_linetype - default is "solid"

   For set name:

   • set_name_color - default is "black"
   • set_name_size - default is 6

   For text:

   • text_color - default is "black"
   • text_size - default is 4

   All parameters above could be used in both ggvenn() and geom_venn().

   For example:

   a <- list(A = 1:4, B = c(1,3,5))
   ggvenn(a, stroke_linetype = 2, stroke_size = 0.5,
     set_name_color = "red", set_name_size = 15,
     fill_color = c("pink", "gold"))

2. Show elements

   • show_elements - default is FALSE
   • label_sep - text used to concatenate elements, default is ","

   For example:

   a <- list(A = c("apple", "pear", "peach"),
             B = c("apple", "lemon"))
   ggvenn(a, show_elements = TRUE)
   
   ggvenn(a, show_elements = TRUE, label_sep = "\n")  # show elements in line

3. Hide percentage

   • show_percentage - default is TRUE

   For example:

   a <- list(A = 1:5, B = 1:2)
   ggvenn(a, show_percentage = FALSE)

4. Change digits of percentage

   • digits - default is 1

   For example:

   a <- list(A = 1:5, B = 1:2)
   ggvenn(a, digits = 2)