venneuler | R Documentation |

`venneuler`

calculates a Venn diagram from a set specification.

venneuler(combinations, weights, ...)

`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 |

`weights` |
If |

`...` |
Additional arguments (currently unused). |

An object of the class `VennDiagram`

with following components:

`centers` |
centers of the circles (columns are |

`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 |

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

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)

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