ggvenn: Plot venn diagram as an independent function. It supports...

View source: R/ggvenn.R

ggvennR Documentation

Plot venn diagram as an independent function. It supports both data frame and list as input.

Description

Plot venn diagram as an independent function. It supports both data frame and list as input.

Usage

ggvenn(
  data,
  columns = NULL,
  show_elements = FALSE,
  show_percentage = TRUE,
  digits = 1,
  fill_color = c("blue", "yellow", "green", "red"),
  fill_alpha = 0.5,
  stroke_color = "black",
  stroke_alpha = 1,
  stroke_size = 1,
  stroke_linetype = "solid",
  set_name_color = "black",
  set_name_size = 6,
  text_color = "black",
  text_size = 4,
  label_sep = ",",
  count_column = NULL,
  show_outside = c("auto", "none", "always"),
  auto_scale = FALSE
)

Arguments

data

A data.frame or a list as input data.

columns

A character vector use as index to select columns/elements.

show_elements

Show set elements instead of count/percentage.

show_percentage

Show percentage for each set.

digits

The desired number of digits after the decimal point

fill_color

Filling colors in circles.

fill_alpha

Transparency for filling circles.

stroke_color

Stroke color for drawing circles.

stroke_alpha

Transparency for drawing circles.

stroke_size

Stroke size for drawing circles.

stroke_linetype

Line type for drawing circles.

set_name_color

Text color for set names.

set_name_size

Text size for set names.

text_color

Text color for intersect contents.

text_size

Text size for intersect contents.

label_sep

Separator character for displaying elements.

count_column

Specify column for element repeat count.

show_outside

Show outside elements (not belongs to any set).

auto_scale

Allow automatically resizing circles according to element counts.

Value

The ggplot object to print or save to file.

See Also

geom_venn

Examples

library(ggvenn)

# use list as input
a <- list(`Set 1` = c(1, 3, 5, 7),
          `Set 2` = c(1, 5, 9),
          `Set 3` = c(1, 2, 8),
          `Set 4` = c(6, 7))
ggvenn(a, c("Set 1", "Set 2"))
ggvenn(a, c("Set 1", "Set 2", "Set 3"))
ggvenn(a)

# use data.frame as input
d <- tibble(value   = c(1,     2,     3,     5,     6,     7,     8,     9),
            `Set 1` = c(TRUE,  FALSE, TRUE,  TRUE,  FALSE, TRUE,  FALSE, TRUE),
            `Set 2` = c(TRUE,  FALSE, FALSE, TRUE,  FALSE, FALSE, FALSE, TRUE),
            `Set 3` = c(TRUE,  TRUE,  FALSE, FALSE, FALSE, FALSE, TRUE,  TRUE),
            `Set 4` = c(FALSE, FALSE, FALSE, FALSE, TRUE,  TRUE,  FALSE, FALSE))
ggvenn(d, c("Set 1", "Set 2"))
ggvenn(d, c("Set 1", "Set 2", "Set 3"))
ggvenn(d)

# set fill color
ggvenn(d, c("Set 1", "Set 2"), fill_color = c("red", "blue"))

# hide percentage
ggvenn(d, c("Set 1", "Set 2"), show_percentage = FALSE)

# change precision of percentages
ggvenn(d, c("Set 1", "Set 2"), digits = 2)

# show elements instead of count/percentage
ggvenn(a, show_elements = TRUE)
ggvenn(d, show_elements = "value")

ggvenn documentation built on March 31, 2023, 10:12 p.m.