geom_venn.md
In ggvenn: Draw Venn Diagram by 'ggplot2'

geom_venn

Code
  normalize_ggplot_build(ggplot(d, aes(A = `Set 1`, B = `Set 2`)) + geom_venn() +
    theme_void() + coord_fixed())
Output
  [[1]]
  [[1]]$A
  [1]  TRUE FALSE  TRUE  TRUE FALSE  TRUE FALSE  TRUE

  [[1]]$B
  [1]  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE  TRUE

  [[1]]$PANEL
  [1] 1 1 1 1 1 1 1 1
  Levels: 1

  [[1]]$group
  [1] 3 1 2 3 1 2 1 3
  attr(,"n")
  [1] 3

  [[1]]$xmin
  [1] -1.866163 -1.866163 -1.866163 -1.866163 -1.866163 -1.866163 -1.866163
  [8] -1.866163

  [[1]]$xmax
  [1] 1.866667 1.866667 1.866667 1.866667 1.866667 1.866667 1.866667 1.866667

  [[1]]$ymin
  [1] -1.4 -1.4 -1.4 -1.4 -1.4 -1.4 -1.4 -1.4

  [[1]]$ymax
  [1] 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4

Code
  normalize_ggplot_build(ggplot(d, aes(A = `Set 1`, B = `Set 2`, C = `Set 3`)) +
    geom_venn() + theme_void() + coord_fixed())
Output
  [[1]]
  [[1]]$A
  [1]  TRUE FALSE  TRUE  TRUE FALSE  TRUE FALSE  TRUE

  [[1]]$B
  [1]  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE  TRUE

  [[1]]$C
  [1]  TRUE  TRUE FALSE FALSE FALSE FALSE  TRUE  TRUE

  [[1]]$PANEL
  [1] 1 1 1 1 1 1 1 1
  Levels: 1

  [[1]]$group
  [1] 5 2 3 4 1 3 2 5
  attr(,"n")
  [1] 5

  [[1]]$xmin
  [1] -1.866163 -1.866163 -1.866163 -1.866163 -1.866163 -1.866163 -1.866163
  [8] -1.866163

  [[1]]$xmax
  [1] 1.866667 1.866667 1.866667 1.866667 1.866667 1.866667 1.866667 1.866667

  [[1]]$ymin
  [1] -2 -2 -2 -2 -2 -2 -2 -2

  [[1]]$ymax
  [1] 2 2 2 2 2 2 2 2

Code
  normalize_ggplot_build(ggplot(d, aes(A = `Set 1`, B = `Set 2`, C = `Set 3`, D = `Set 4`)) +
    geom_venn() + theme_void() + coord_fixed())
Output
  [[1]]
  [[1]]$A
  [1]  TRUE FALSE  TRUE  TRUE FALSE  TRUE FALSE  TRUE

  [[1]]$B
  [1]  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE  TRUE

  [[1]]$C
  [1]  TRUE  TRUE FALSE FALSE FALSE FALSE  TRUE  TRUE

  [[1]]$D
  [1] FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE

  [[1]]$PANEL
  [1] 1 1 1 1 1 1 1 1
  Levels: 1

  [[1]]$group
  [1] 6 2 3 5 1 4 2 6
  attr(,"n")
  [1] 6

  [[1]]$xmin
  [1] -2.085847 -2.085847 -2.085847 -2.085847 -2.085847 -2.085847 -2.085847
  [8] -2.085847

  [[1]]$xmax
  [1] 2.085382 2.085382 2.085382 2.085382 2.085382 2.085382 2.085382 2.085382

  [[1]]$ymin
  [1] -1.885847 -1.885847 -1.885847 -1.885847 -1.885847 -1.885847 -1.885847
  [8] -1.885847

  [[1]]$ymax
  [1] 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4