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rvenn-diagram
A_Skelton73
A_Skelton73

Reputation: 1190

Venn Diagram with Item labels

Suppose I have two vectors

foo <- c('a','b','c','d')
baa <- c('a','e','f','g')

Does anyone know of a way to produce a venn diagram but have the vector items visualised within the diagram.

Like so? (made in powerpoint) enter image description here

Upvotes: 24

Views: 19033

Answers (3)

Tal Zaquin
Tal Zaquin

Reputation: 113

Another way, which I find simpler is using the ggvenn package with show_elements = TRUE.

library(ggvenn)
library(RColorBrewer)
AA <- c("hi","foo", "bar","yep","woo","hoo")
BB <- c("baa","yep", "woo","yes")
CC <- c("yes","foo","hi","woo", "huh")

x <- list(AA=AA , BB=BB , CC=CC)

ggvenn(x, show_elements = T, label_sep = "\n", fill_color = brewer.pal(name="Set2",n=3))

The resulting image

Upvotes: 8

Marco Sandri
Marco Sandri

Reputation: 24262

Using the RAM package:

library(RAM)
foo <- c('a','b','c','d')
baa <- c('a','e','f','g')
group.venn(list(foo=foo, baa=baa), label=TRUE, 
    fill = c("orange", "blue"),
    cat.pos = c(0, 0),
    lab.cex=1.1)

enter image description here

Upvotes: 13

user20650
user20650

Reputation: 25854

A quick solution using the venn.diagram function from the VennDiagram package. The labels (counts) are hard coded in the function so can't be changed using function arguments. But for a simple example like this you can change the grobs yourself.

library(VennDiagram)

# your data
foo <- c('a','b','c','d')
baa <- c('a','e','f','g')

# Generate plot
v <- venn.diagram(list(foo=foo, baa=baa),
                  fill = c("orange", "blue"),
                  alpha = c(0.5, 0.5), cat.cex = 1.5, cex=1.5,
                  filename=NULL)

# have a look at the default plot
grid.newpage()
grid.draw(v)

# have a look at the names in the plot object v
lapply(v,  names)
# We are interested in the labels
lapply(v, function(i) i$label)

# Over-write labels (5 to 7 chosen by manual check of labels)
# in foo only
v[[5]]$label  <- paste(setdiff(foo, baa), collapse="\n")  
# in baa only
v[[6]]$label <- paste(setdiff(baa, foo)  , collapse="\n")  
# intesection
v[[7]]$label <- paste(intersect(foo, baa), collapse="\n")  

# plot  
grid.newpage()
grid.draw(v)

Which produces

enter image description here

Obviously this method would quickly get out of hand with more categories and intersections.

Upvotes: 18

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