在三方 igraph 上的层内排序顶点

Question

我有以下数据框：

df<-data.frame(consumed= c("level1_plt1", "level1_plt2", "level1_plt3", "level1_plt3","level1_plt2","level1_plt4","level1_plt5","level1_plt5","level1_plt6","level1_plt7","level1_plt8","level1_plt9","level1_plt10","level1_plt10","level1_plt1","level1_plt1","level1_plt6","level1_plt6","level1_plt9","level1_plt9","level1_plt11","level1_plt11","level1_plt11","level2_lep1","level2_lep4","level2_lep3"),consumer=c("level2_lep1","level2_lep2","level2_lep3","level2_lep2","level2_lep4", "level2_lep4","level2_lep5","level2_lep5","level2_lep6","level2_lep7","level2_lep8","level2_lep9","level2_lep10","level2_lep10","level2_lep8","level2_lep8","level2_lep1","level2_lep1","level2_lep3","level2_lep11","level2_lep12","level2_lep13","level2_lep13", "level3_pst1","level3_pst3","level3_pst4"))

并已执行以下步骤以获得 igraph 三方输出：

links<- 
df%>%
group_by(consumed, consumer) %>% 
summarize(freq=n())

g<- graph_from_data_frame(d=links,directed=FALSE)

layer <- rep(2, length(V(g)$name))
layer[grepl("level1_",V(g)$name)]=1
layer[grepl("level3_",V(g)$name)]=3


names<- V(g)$name
names<-sub("level2_","", names)
names<-sub("level3_","", names)
names<-sub("level1_","", names)
V(g)$name = names


layout = layout_with_sugiyama(g, layers=layer)
E(g)$width <- E(g)$freq
V(g)$vertex_degree <-  degree(g)*7
plot(g,
 layout=cbind(layer,layout$layout[,1]),edge.curved=0,
 vertex.shape=c("square","circle","square")[layer],
 vertex.frame.color = c("darkolivegreen","darkgoldenrod","orange3")
[layer],
 vertex.color=c("olivedrab","goldenrod1","orange1")[layer],
 vertex.label.color="white",
 vertex.label.font=2,
 vertex.size=V(g)$vertex_degree,
 vertex.label.dist=c(0,0,0)[layer],
 vertex.label.degree=0, vertex.label.cex=0.5)

如果可能的话，我想做两件事来调整图片：

将图层从最大形状（最高度数）到最小形状（最小度数）排序。例如，在绿色层中，顺序可能如下：plt9, plt3,plt2,plt11,plt6,plt1,plt7,plt5,plt4,plt10,plt8.
在形状之间创建 space 以便没有重叠（例如 lep3 和 lep4）。我喜欢当前的 sizes/proportions，所以我反对缩小形状以在形状之间创建 space。
将图形和顶点字体逆时针翻转90度，从下到上依次为绿色层-->黄色层-->橙色层。（我想旋转顶点文本总是一个选项，我可以在word或ppt中旋转图像。）

Answer 1

我知道这个问题很老了，但我希望这个答案能帮助到别人。

而不是使用 layout_with_sugiyama，这样做可能最简单自定义布局。这样做并不难。你已经构建了 layer 变量的水平位置。要获得垂直位置，我们需要按大小 (vertex_degree) 对顶点排序，然后允许形状与大小成正比，因此我们将在每一层的 vertex_degree 上使用 cumsum 设置高度。在我完成布局之后，对 plot 的复杂调用与你的相同，除了我用我的自定义布局交换了你给 sugiyama 的电话。

MyLO = matrix(0, nrow=vcount(g), ncol=2)

## Horizontal position is determined by layer
MyLO[,1] = layer

## Vertical position is determined by sum of sorted vertex_degree
for(i in 1:3) {
    L  = which(layer ==i)
    OL = order(V(g)$vertex_degree[L], decreasing=TRUE)
    MyLO[L[OL],2] = cumsum(V(g)$vertex_degree[L][OL])
}

plot(g, 
 layout=MyLO,  edge.curved=0,
 vertex.shape=c("square","circle","square")[layer],
 vertex.frame.color = c("darkolivegreen","darkgoldenrod","orange3")[layer],
 vertex.color=c("olivedrab","goldenrod1","orange1")[layer],
 vertex.label.color="white",
 vertex.label.font=2,
 vertex.size=V(g)$vertex_degree,
 vertex.label.dist=0,
 vertex.label.degree=0, vertex.label.cex=0.5)

在三方 igraph 上的层内排序顶点

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igraph