如何在 r 中使用 calculate.overlap 函数查找哪些元素与维恩图的哪些部分相关？

Question

calculate.overlap的输出不清楚。维恩图的每个位置都有一些名称，例如： $a1 , $a2 , ... 当我们为五个列表绘制它时，它变得如此复杂。如何识别哪些名称 ($a1 , $a2 , ...) 与哪些列表的重叠相关？

library(VennDiagram)

overlap=calculate.overlap(
    x=list(
        "A"=c("a","b","c"),
        "B"=c("a","b","c","d"),
        "C"=c("a","c","d")
    )
)

这是输出：

$a5
[1] "a" "c"

$a2
[1] "b"

$a4
character(0)

$a6
[1] "d"

$a1
character(0)

$a3
character(0)

$a7
character(0)

如何用我列表中的名字替换这些名字？

我的预期输出是：

$A,B,C
[1] "a" "c"

$A,B
[1] "b"

$A,C
character(0)

$B,C
[1] "d"

$A
character(0)

$B
character(0)

$C
character(0)

Answer 1

有答案here。但是，我并不声称理解它。对维恩图中的区域进行排序的一般规则是使用它的二进制表示。我的 nVennR 包使用该表示，可以为您提供任意数量的集合的快速答案：

> library(nVennR)
> myV <- plotVenn(list("A"=c("a","b","c"), "B"=c("a","b","c","d"), "C"=c("a","c","d")), showPlot = F)
> listVennRegions(myV)
$`0, 1, 1 (B, C)`
[1] "d"

$`1, 1, 0 (A, B)`
[1] "b"

$`1, 1, 1 (A, B, C)`
[1] "a" "c"

> listVennRegions(myV, na.rm = F)
$`0, 0, 0 ()`
[1] NA

$`0, 0, 1 (C)`
[1] NA

$`0, 1, 0 (B)`
[1] NA

$`0, 1, 1 (B, C)`
[1] "d"

$`1, 0, 0 (A)`
[1] NA

$`1, 0, 1 (A, C)`
[1] NA

$`1, 1, 0 (A, B)`
[1] "b"

$`1, 1, 1 (A, B, C)`
[1] "a" "c"

有一个vignette，其中包含有关用法的更多详细信息。

如何在 r 中使用 calculate.overlap 函数查找哪些元素与维恩图的哪些部分相关？

How to find which elements related to which parts of venn diagram using calculate.overlap function in r?

r

venn-diagram

dataframe

overlapping