venneuler {venneuler} | R Documentation |
venneuler
calculates a Venn diagram from a set specification.
venneuler(combinations, weights, ...)
combinations |
This can be one of:
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)