我试图以优化的方式绘制维恩图(见下文),并将案例作为内部标签(不是每个交叉点的案例数)。我知道每个人都有帖子但是没有解决方案允许我同时做这两个。
我有这个:
x <- list()
x$A <- as.character(c("Per_36","Cent","CeM","vDG","LAVL","RSGd"))
x$B <- as.character(c("vCA1","DLE","Per_36","vDG","DIE","Per_35"))
x$C <- as.character(c("vCA1","Cg1","LAVL", "RSGc", "RSGd","Per_35","Per_36"))
x$D <- as.character(c("Por","Cg1","RSGc","LAVL","Per_35","RSGd","Per_36"))
require(VennDiagram)
v0 <-venn.diagram(x, lwd = 3, col = c("red", "green", "orange", "blue"),
fill = c("red", "blue", "green", "orange"), apha = 0.5, filename = NULL)
grid.draw(v0)
overlaps <- calculate.overlap(x)
overlaps <- rev(overlaps)
for (i in 1:length(overlaps)){
v0[[i+8]]$label <- paste(overlaps[[i]], collapse = "\n")
}
grid.newpage()
grid.draw(v0)
我得到以下输出:
关于维恩图的组织我想这样做:
c <- venn(x, simplify = TRUE, small = 0.5, intersections = TRUE)
我使用带有gplots()
的{{1}}函数从包venn
获得的。但是,在venn函数中,我似乎无法用标签的名称替换计数。我使用了十字形= TRUE,它通过参数的描述应该有效,但它没有(尽管如果我查看变量c,信息就在那里)。
simplify = TRUE
问题:使用 Logical flag indicating if the returned object should have the attribute
"individuals.in.intersections" featuring for every set a list of individuals
that are assigned to it.
包,是否有办法与VennDiagram
包中的simplify
函数中的venn
参数完全相同?
问题2:使用gplots
包中的venn
函数,有没有办法显示每个元素的名称而不是元素计数?就像我在'venn.diagram&#39;功能
提前致谢,
答案 0 :(得分:0)
这是我的方法,到目前为止还没有解决方案而是黑客攻击。
# Print a venn and save it to an object
a <- venn(list(letters[1:5], letters[3:8]))
# save the intersections
b <- attr(a, "intersections")
# find the coordinates
s <- seq(0,500,100); abline(h=s); text(s, y=s, x=0)
s <- seq(0,500,50); abline(v=s); text(s, y=0, x=s)
# the hack, destroy the venn to avoid the plotting of the internal numbers
rownames(a) <- letters[1:nrow(a)]
a
plot.venn(a)
>Error in data[n, 1] : subscript out of bounds
# include the internal labels
text(200,300,paste(b$`01`,collapse = "\n"))
text(200,200,paste(b$`11`,collapse = "\n"))
text(200,100,paste(b$`10`,collapse = "\n"))
多个毒蛇很烦人。否则,您可以将venn保存为.svg
并使用inkscape或类似软件进行编辑,或通过电子邮件询问开发人员。
编辑:
如果你的情节看起来是一样的,你可以检查一下venn函数的源代码(通过点击F2
在RStudio中)并复制粘贴4和5个圆形venns的位置,并将标签函数lab("1000", data)
替换为你想要的标签。
对于4个圈子:
text(35, 250, lab("1000", data))
text(140, 315, lab("0100", data))
text(260, 315, lab("0010", data))
text(365, 250, lab("0001", data))
text(90, 280, lab("1100", data), cex = small)
text(95, 110, lab("1010", data))
text(200, 50, lab("1001", data), cex = small)
text(200, 290, lab("0110", data))
text(300, 110, lab("0101", data))
text(310, 280, lab("0011", data), cex = small)
text(130, 230, lab("1110", data))
text(245, 75, lab("1101", data), cex = small)
text(155, 75, lab("1011", data), cex = small)
text(270, 230, lab("0111", data))
text(200, 150, lab("1111", data))