# venneuler: Calculates Venn and Euler Diagram In venneuler: Venn and Euler Diagrams

## Description

`venneuler` calculates a Venn diagram from a set specification.

## Usage

 `1` ```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 <leland.wilkinson@gmail.com>, R package: Simon Urbanek <simon.urbanek@r-project.org>

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15``` ```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) ```

### Example output

```Loading required package: rJava
OpenJDK 64-Bit Server VM warning: Can't detect initial thread stack location - find_vma failed
Warning message:
system call failed: Cannot allocate memory
```

venneuler documentation built on May 1, 2019, 10:18 p.m.