如何使用igraph使边缘粗细，颜色和线条类型取决于边缘值？

Question

我正在尝试绘制网络，以显示17种植物性状之间的依赖性。该网络将用于帮助解释其他分析的结果，而不是为依赖关系本身提供指导。

我正在R中使用igraph，并使用17x17相关矩阵作为输入。矩阵中的相关性已更改，因此第一位数字代表一个类别。尽管我对R相当陌生，但是从我可以[[几乎产生我所设想的图形的意义上来说，它进展顺利。

但是，我找不到一种使边缘样式依赖于相关值的方法。我可以针对颜色和重量执行此操作，但是以权重相关的方式添加lty或edge.lty不会生成所需的图形，尽管代码运行时没有错误。想法是使用3种线型，因此-4和-3之间的值与-3和-2之间的值具有不同的样式，等等。...“组”表示仅在处理x中存在的相关性，或仅在y等。

环顾四周，我没有遇到这个问题，所以我想问一下。

我一直在使用的代码（下面）可能不太漂亮，但是对于像我这样经验不足的用户来说，它至少不起作用：）

[我尝试（除其他外）添加E（graphY1W）[权重<= -4.0＆权重

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

我不确定您在做什么错，但是这是怎么做。

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

您可能没有任何虚线的边缘，这就是为什么它们不出现的原因。顺便说一句。 weight <= -4.0 & weight < -3.75是多余的，也许您想要weight > -3.75。