ggvenn
Draw Venn Diagram by 'ggplot2'

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tests/testthat/_snaps/stats.md

tests/testthat/_snaps/stats.md
In ggvenn: Draw Venn Diagram by 'ggplot2'

stats

Code
  normalize_ggvenn_output(ggvenn(a))
Output
  [[1]]
  [[1]]$A
   [1]  TRUE  TRUE  TRUE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE

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

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

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

  [[1]]$label
   [1]  1  3  5  7  9 13  2  8  6 10 12

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

  [[1]]$group
   [1] 7 4 6 5 7 3 2 2 1 1 1
  attr(,"n")
  [1] 7

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

  [[1]]$xmax
   [1] 2.085382 2.085382 2.085382 2.085382 2.085382 2.085382 2.085382 2.085382
   [9] 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 -1.885847 -1.885847 -1.885847

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

Code
  normalize_ggvenn_output(ggvenn(a, show_percentage = FALSE))
Output
  [[1]]
  [[1]]$A
   [1]  TRUE  TRUE  TRUE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE

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

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

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

  [[1]]$label
   [1]  1  3  5  7  9 13  2  8  6 10 12

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

  [[1]]$group
   [1] 7 4 6 5 7 3 2 2 1 1 1
  attr(,"n")
  [1] 7

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

  [[1]]$xmax
   [1] 2.085382 2.085382 2.085382 2.085382 2.085382 2.085382 2.085382 2.085382
   [9] 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 -1.885847 -1.885847 -1.885847

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

Code
  normalize_ggvenn_output(ggvenn(a, show_percentage = TRUE))
Output
  [[1]]
  [[1]]$A
   [1]  TRUE  TRUE  TRUE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE

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

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

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

  [[1]]$label
   [1]  1  3  5  7  9 13  2  8  6 10 12

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

  [[1]]$group
   [1] 7 4 6 5 7 3 2 2 1 1 1
  attr(,"n")
  [1] 7

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

  [[1]]$xmax
   [1] 2.085382 2.085382 2.085382 2.085382 2.085382 2.085382 2.085382 2.085382
   [9] 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 -1.885847 -1.885847 -1.885847

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

Code
  normalize_ggvenn_output(ggvenn(a, show_percentage = TRUE, show_stats = "c"))
Output
  [[1]]
  [[1]]$A
   [1]  TRUE  TRUE  TRUE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE

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

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

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

  [[1]]$label
   [1]  1  3  5  7  9 13  2  8  6 10 12

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

  [[1]]$group
   [1] 7 4 6 5 7 3 2 2 1 1 1
  attr(,"n")
  [1] 7

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

  [[1]]$xmax
   [1] 2.085382 2.085382 2.085382 2.085382 2.085382 2.085382 2.085382 2.085382
   [9] 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 -1.885847 -1.885847 -1.885847

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

Code
  normalize_ggvenn_output(ggvenn(a, show_percentage = TRUE, show_stats = "p"))
Output
  [[1]]
  [[1]]$A
   [1]  TRUE  TRUE  TRUE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE

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

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

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

  [[1]]$label
   [1]  1  3  5  7  9 13  2  8  6 10 12

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

  [[1]]$group
   [1] 7 4 6 5 7 3 2 2 1 1 1
  attr(,"n")
  [1] 7

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

  [[1]]$xmax
   [1] 2.085382 2.085382 2.085382 2.085382 2.085382 2.085382 2.085382 2.085382
   [9] 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 -1.885847 -1.885847 -1.885847

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

Code
  normalize_ggvenn_output(ggvenn(a, show_percentage = TRUE, show_stats = "cp"))
Output
  [[1]]
  [[1]]$A
   [1]  TRUE  TRUE  TRUE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE

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

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

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

  [[1]]$label
   [1]  1  3  5  7  9 13  2  8  6 10 12

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

  [[1]]$group
   [1] 7 4 6 5 7 3 2 2 1 1 1
  attr(,"n")
  [1] 7

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

  [[1]]$xmax
   [1] 2.085382 2.085382 2.085382 2.085382 2.085382 2.085382 2.085382 2.085382
   [9] 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 -1.885847 -1.885847 -1.885847

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

Code
  normalize_ggvenn_output(ggvenn(a, show_stats = "c"))
Output
  [[1]]
  [[1]]$A
   [1]  TRUE  TRUE  TRUE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE

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

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

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

  [[1]]$label
   [1]  1  3  5  7  9 13  2  8  6 10 12

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

  [[1]]$group
   [1] 7 4 6 5 7 3 2 2 1 1 1
  attr(,"n")
  [1] 7

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

  [[1]]$xmax
   [1] 2.085382 2.085382 2.085382 2.085382 2.085382 2.085382 2.085382 2.085382
   [9] 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 -1.885847 -1.885847 -1.885847

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

Code
  normalize_ggvenn_output(ggvenn(a, show_stats = "p"))
Output
  [[1]]
  [[1]]$A
   [1]  TRUE  TRUE  TRUE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE

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

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

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

  [[1]]$label
   [1]  1  3  5  7  9 13  2  8  6 10 12

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

  [[1]]$group
   [1] 7 4 6 5 7 3 2 2 1 1 1
  attr(,"n")
  [1] 7

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

  [[1]]$xmax
   [1] 2.085382 2.085382 2.085382 2.085382 2.085382 2.085382 2.085382 2.085382
   [9] 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 -1.885847 -1.885847 -1.885847

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

Code
  normalize_ggvenn_output(ggvenn(a, show_stats = "cp"))
Output
  [[1]]
  [[1]]$A
   [1]  TRUE  TRUE  TRUE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE

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

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

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

  [[1]]$label
   [1]  1  3  5  7  9 13  2  8  6 10 12

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

  [[1]]$group
   [1] 7 4 6 5 7 3 2 2 1 1 1
  attr(,"n")
  [1] 7

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

  [[1]]$xmax
   [1] 2.085382 2.085382 2.085382 2.085382 2.085382 2.085382 2.085382 2.085382
   [9] 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 -1.885847 -1.885847 -1.885847

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


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ggvenn documentation built on Nov. 5, 2025, 7:44 p.m.

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