Package 'venneuler'

Title: Venn and Euler Diagrams
Description: Calculates and displays Venn and Euler Diagrams.
Authors: Lee Wilkinson <[email protected]>
Maintainer: Simon Urbanek <[email protected]>
License: MPL-1.1
Version: 1.1-4
Built: 2024-12-05 02:55:23 UTC
Source: https://github.com/s-u/venneuler

Help Index

plot method for Venn diagrams

Description

Plots the Venn diagram returned by venneuler.

Usage

## S3 method for class 'VennDiagram'
plot(x, col, col.fn = function(col) hcl(col * 360, 130, 60),
   alpha = 0.3, main = NULL, edges = 200, border = NA, col.txt = 1,
   cex = 1, lwd = 1, lty = 1, font = NULL, family = "", ...)

Arguments

x

object of the class VennDiagram as returned from the venneuler() function.
col

optional, vector of colors (as accepted by the graphics system) to use. The colors are recycled if necessary (so passing a scalar will result in all circles having the same color). If not specified, colors are obtained by calling col.fn on the colors component of the x object.
col.fn

function taking one argument (numeric vector of values between 0 and 1), returning a vector of colors of the same length. It is not used if the col argument is specified.
alpha

numeric, value of the alpha channel(s) for the colors (hence their opacity). It will override any alpha channel information in the color specification, recycling as neeed. If set to NA then no aplha adjustment to the colors is performed.
main

passed to title()
edges

integer scalar, specifies the number of edges to use when drawing circles
border

color of the border for each circle (recycled) or NULL if no border is to be drawn
lwd

line width used to draw borders of the circles
lty

line type used to draw borders of the circles
col.txt

passed as col to text() for text labels in the circle centers
cex

passed to text() for text labels in the circle centers
font

passed to text() for text labels in the circle centers
family

passed to text() for text labels in the circle centers
...

any further arguments passed to title()

Value

Returns NULL invisibly.

Author(s)

Simon Urbanek

See Also

venneuler

Examples

vd <- venneuler(c(A=0.3, B=0.3, C=1.1, "A&B"=0.1, "A&C"=0.2, "B&C"=0.1 ,"A&B&C"=0.1))
plot(vd, border=1, lwd = c(1,1,3), cex=2)

Calculates Venn and Euler Diagram

Description

venneuler calculates a Venn diagram from a set specification.

Usage

venneuler(combinations, weights, ...)

Arguments

combinations

This can be one of:

  • a character vector (specifies disjoint class combinations as class names separated by the ampersand & character – e.g. c("A","B","A&B"))

  • a named numeric vector (names specify class combinations and values specify weights – e.g. c(A=1, B=2, `A&B`=0.5))

  • a character matrix of two columns (specifies mapping of elements to sets – elements in the first column and set names in the second column, weights argument is ignored)

  • a logical or numeric matrix whose columns represent sets and co-occurrence is defined by non-zero (rep. TRUE) values in rows (weight for a row being 1 for logical matrices or the row sum for numeric matrices).

For convenience data frames can be passed instead of matrices and they will be coerced using as.matrix().

weights

If combinations is a character vector then this argument specifies the associated weights. It is ignored in all other cases.

...

Additional arguments (currently unused).

Value

An object of the class VennDiagram with following components:

centers

centers of the circles (columns are x and y coordinates)
diameters

diameters of the circles
colors

colors of the circles as values between 0 and 1
labels

labels of the circles
residuals

residuals (percentage difference between input intersection area and fitted intersection area)
stress

stress value for solution
stress01

.01 critical value for stress based on random data
stress05

.05 critical value for stress based on random data

Author(s)

Lee Wilkinson <[email protected]>, R package: Simon Urbanek <[email protected]>

See Also

plot.VennDiagram

Examples

vd <- venneuler(c(A=0.3, B=0.3, C=1.1, "A&B"=0.1, "A&C"=0.2, "B&C"=0.1 ,"A&B&C"=0.1))
plot(vd)
# same as c(A=1, `A&B&C`=1, C=1)
m <- data.frame(elements=c("1","2","2","2","3"), sets=c("A","A","B","C","C"))
v <- venneuler(m)
plot(v)
m <- as.matrix(data.frame(A=c(1.5, 0.2, 0.4, 0, 0),
                          B=c(0  , 0.2, 0  , 1, 0),
                          C=c(0  , 0  , 0.3, 0, 1)))
# without weights
v <- venneuler(m > 0)
plot(v)
# with weights
v <- venneuler(m)
plot(v)