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ggvenn

Venn Diagram by ggplot2, with really easy-to-use API.

Screenshots

Venn Plot from list
Venn Plot from list
Venn Plot from data.frame
Venn Plot from data.frame

Installation

{r} install.packages("ggvenn") # install via CRAN

or

{r} if (!require(devtools)) install.packages("devtools") devtools::install_github("yanlinlin82/ggvenn") # install via GitHub (for latest version)

Quick Start

This package provides two main functions: ggvenn() and geom_venn(). It supports both list and data.frame type data as input.

Basic Usage

For list data (each element is a set):

```{r} library(ggvenn)

a <- list(A = 1:5, B = 4:9, C = 3:7, D = 1:20, E = 15:19) ggvenn(a, c(“A”, “B”)) # draw two-set venn ggvenn(a, c(“A”, “B”, “C”)) # draw three-set venn ggvenn(a, c(“A”, “B”, “C”, “D”)) # draw four-set venn ggvenn(a) # without set names, all elements in list will be chosen to draw venn


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

```{r}
d <- data.frame(
  id = 1:32,
  A = 1:32 %% 2 == 1,
  B = (1:32 %/% 2) %% 2 == 1,
  C = (1:32 %/% 4) %% 2 == 1,
  D = (1:32 %/% 8) %% 2 == 1,
  E = (1:32 %/% 16) %% 2 == 1
)
ggvenn(d, c("A", "B"))            # draw two-set venn
ggvenn(d, c("A", "B", "C"))       # draw three-set venn
ggvenn(d, c("A", "B", "C", "D"))  # draw four-set venn
ggvenn(d)  # without set names, all logical columns in data.frame will be chosen to draw venn
ggvenn(d, element_column = "id", show_elements = TRUE)

Key Features

  • Two functions: ggvenn() for standalone plots, geom_venn() for ggplot2 grammar
  • Multiple sets: Supports 2-8 sets (optimal for 2-4 sets)
  • Flexible input: Works with both lists and data.frames
  • Customizable: Colors, sizes, transparency, and text options
  • Show elements: Display actual elements instead of just counts
  • Auto-scaling: Automatically resize circles based on element counts (2-set diagrams)

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

``{r} # 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()


## 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:

    ```{r}
    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:

    ```{r}
    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:

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

4. Change digits of percentage

    - `digits` - default is 1

    For example:

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

5. Show/hide statistics

    - `show_stats` - control what to display: "cp" (count + percentage), "c" (count only), "p" (percentage only)
    - `show_set_totals` - show totals for each set: "cp", "c", "p", or "none"

    For example:

    ```{r}
    a <- list(A = 1:5, B = 1:2)
    ggvenn(a, show_stats = "c")        # show only counts
    ggvenn(a, show_stats = "p")        # show only percentages
    ggvenn(a, show_set_totals = "cp")  # show set totals
    ```

6. Control outside elements

    - `show_outside` - show elements not belonging to any set: "auto", "none", "always"

    For example:

    ```{r}
    a <- list(A = 1:5, B = 4:8, C = 10:15)  # element 10-15 are outside A and B
    ggvenn(a, c("A", "B"), show_outside = "always")
    ```

7. Auto-scaling (2-set diagrams only)

    - `auto_scale` - automatically resize circles based on element counts

    For example:

    ```{r}
    a <- list(A = 1:100, B = 50:150)  # very different sizes
    ggvenn(a, auto_scale = TRUE)
    ```

## Multiple Plots Layout

When creating multiple venn diagrams, you can use `patchwork` or `gridExtra` for layout:

```{r}
library(ggvenn)
library(patchwork)  # or library(gridExtra)

# Create multiple plots
g1 <- ggvenn(list(A = 1:5, B = 4:8))
g2 <- ggvenn(list(A = 1:5, B = 4:8, C = 3:7))
g3 <- ggvenn(list(A = 1:5, B = 4:8, C = 3:7, D = 1:20))
g4 <- ggvenn(list(A = 1:5, B = 4:8, C = 3:7, D = 1:20, E = 15:19))

# Using patchwork (recommended)
(g1 | g2) / (g3 | g4)

# Using gridExtra
# gridExtra::grid.arrange(g1, g2, g3, g4, ncol = 2, nrow = 2)

Data Format

The ggvenn support two types of input data: list and data.frame. Two functions (data_frame_to_list() and list_to_data_frame()) can convert data between the two types.

a <- list(A = 1:5, B = 4:6)
d <- dplyr::tibble(key = 1:6,
            A = c(rep(TRUE, 5), FALSE),
            B = rep(c(FALSE, TRUE), each = 3))

identical(a, data_frame_to_list(d))  # TRUE
identical(d, list_to_data_frame(a))  # TRUE