如何使用 igraph 使边缘权重、颜色和线型取决于边缘值？

Question

我正在尝试绘制一个网络，显示 17 个植物性状之间的依赖关系。该网络将用于帮助解释一些其他分析的结果，而不是为依赖项本身提供指导。

我在 R 中使用 igraph，以 17x17 相关矩阵作为输入。矩阵中的相关性发生了变化，因此第一个数字代表一个类别。虽然我对 R 比较陌生，但从某种意义上说，它进展顺利，我几乎可以生成我设想的图形。

但是，我找不到使边缘样式依赖于相关值的方法。我可以为颜色和重量这样做，但是以重量相关的方式添加 lty 或 edge.lty 不会产生所需的图形，尽管代码运行没有错误。这个想法是使用 3 种线型，因此 -4 和 -3 之间的值与 -3 和 -2 等值之间的值具有不同的风格......“组”表示仅在治疗 x 中存在的相关性，或仅在 y 等。

在这里找了很多次求助，没遇到过这个问题，所以想问问。

我一直在使用的代码（如下）可能并不漂亮，但对于像我这样没有经验的用户来说，它最不适用:)

我尝试（除其他外）添加 E(graphY1W)[weight

graphY1W<-graph.adjacency(Y1W,weighted=TRUE,mode="undirected",diag=FALSE)
E(graphY1W)[weight <= -4.0 & weight < -3.75]$color <- "black"      #strong - relationship group1
E(graphY1W)[weight <= -4.0 & weight < -3.75]$width <- 7
E(graphY1W)[weight >= -3.75 & weight <= -3.5 ]$color <- "black"    #weak - relationship group1
E(graphY1W)[weight >= -3.75 & weight <= -3.5 ]$width <- 3
E(graphY1W)[weight <=  4.0 & weight > 3.75 ]$color <- "grey"       #strong + relationship group1
E(graphY1W)[weight <=  4.0 & weight > 3.75 ]$width <- 7
E(graphY1W)[weight <= 3.75 & weight >= 3.5 ]$color <- "grey"      #weak + relationship group1
E(graphY1W)[weight <= 3.75 & weight >= 3.5 ]$width <- 3
E(graphY1W)[weight >= -3.0 & weight < -2.75]$color <- "black"     #strong - relationship group2
E(graphY1W)[weight >= -3.0 & weight < -2.75]$width <- 7
E(graphY1W)[weight >= -2.75 & weight <= -2.5 ]$color <- "black"   #etc
E(graphY1W)[weight >= -2.75 & weight <= -2.5 ]$width <- 3
E(graphY1W)[weight <=  3.0 & weight > 2.75 ]$color <- "grey"
E(graphY1W)[weight <=  3.0 & weight > 2.75 ]$width <- 7
E(graphY1W)[weight <= 2.75 & weight >= 2.5 ]$color <- "grey"
E(graphY1W)[weight <= 2.75 & weight >= 2.5 ]$width <- 3
E(graphY1W)[weight >= -2.0 & weight < -1.75 ]$color <- "black" 
E(graphY1W)[weight >= -2.0 & weight < -1.75 ]$width <- 7
E(graphY1W)[weight >= -1.75 & weight <= -1.5 ]$color <- "black"
E(graphY1W)[weight >= -1.75 & weight <= -1.5 ]$width <- 3
E(graphY1W)[weight <= 2.0 & weight >  1.75 ]$color <- "grey"
E(graphY1W)[weight <= 2.0 & weight >  1.75 ]$width <- 7
E(graphY1W)[weight <= 1.75 & weight >= 1.5 ]$color <- "grey"
E(graphY1W)[weight <= 1.75 & weight >= 1.5 ]$width <- 3
V(graphY1W)$color <-  ifelse(V(graphY1W)$name=="Pn", "grey",
                      ifelse(V(graphY1W)$name=="gs", "grey",
                      ifelse(V(graphY1W)$name=="Pn_amb.Pn_sat", "grey",
                      ifelse(V(graphY1W)$name=="WUE", "grey",
                      ifelse(V(graphY1W)$name=="WP", "grey",
                      ifelse(V(graphY1W)$name=="TL", "grey95",
                      ifelse(V(graphY1W)$name=="FMDM", "grey95",
                      ifelse(V(graphY1W)$name=="Chl", "grey45",
                      ifelse(V(graphY1W)$name=="Chlab", "grey45",
                      ifelse(V(graphY1W)$name=="Car", "grey45",
                      ifelse(V(graphY1W)$name=="MP", "white",
                      ifelse(V(graphY1W)$name=="LMF", "white",
                      ifelse(V(graphY1W)$name=="SRR", "white",
                      ifelse(V(graphY1W)$name=="SLAP", "grey95",
                      ifelse(V(graphY1W)$name=="AP", "grey95",
                      ifelse(V(graphY1W)$name=="NAR", "white",
                      ifelse(V(graphY1W)$name=="RGR", "white","white")))))))))))))))))
plot(graphY1W,layout=layout.fruchterman.reingold, vertex.color=V(graphY1W)$color,
     vertex.label.color="black", vertex.shape="circle",vertex.size=10, vertex.label.cex=0.9,
     asp=0.5, frame=FALSE)

Answer 1

我不确定你做错了什么，但这里是如何做到的。

library(igraph)
g <- graph.ring(10)
E(g)$lty <- 1:5
plot(g)

您可能没有任何虚线边缘，这就是它们没有出现的原因。顺便提一句。 weight <= -4.0 & weight < -3.75 是多余的，也许你想要weight > -3.75。