geom_venn_label_set {ComplexUpset}

Label for a set of Venn diagram

Description

Label for a set of Venn diagram

Usage

geom_venn_label_set(
  data,
  mapping = aes_(),
  sets = NULL,
  outwards_adjust = 2.5,
  fill = alpha("white", 0.85),
  size = 5,
  label.size = 0,
  ...
)

Arguments

data

a dataframe including binary columns representing membership in sets

mapping

the aesthetics mapping

sets

vector with names of columns representing membership in sets

outwards_adjust

the multiplier defining the distance from the centre

fill

the fill of the label

size

the text size

label.size

the size of the label outline

...

Arguments passed on to ggplot2::geom_label

stat

The statistical transformation to use on the data for this layer, as a string.

position

Position adjustment, either as a string, or the result of a call to a position adjustment function. Cannot be jointy specified with nudge_x or nudge_y.

parse

If TRUE, the labels will be parsed into expressions and displayed as described in ?plotmath.

nudge_x

Horizontal and vertical adjustment to nudge labels by. Useful for offsetting text from points, particularly on discrete scales. Cannot be jointly specified with position.

nudge_y

Horizontal and vertical adjustment to nudge labels by. Useful for offsetting text from points, particularly on discrete scales. Cannot be jointly specified with position.

label.padding

Amount of padding around label. Defaults to 0.25 lines.

label.r

Radius of rounded corners. Defaults to 0.15 lines.

na.rm

If FALSE, the default, missing values are removed with a warning. If TRUE, missing values are silently removed.

show.legend

logical. Should this layer be included in the legends? NA, the default, includes if any aesthetics are mapped. FALSE never includes, and TRUE always includes. It can also be a named logical vector to finely select the aesthetics to display.

inherit.aes

If FALSE, overrides the default aesthetics, rather than combining with them. This is most useful for helper functions that define both data and aesthetics and shouldn't inherit behaviour from the default plot specification, e.g. borders().