我正在使用visNetwork来可视化图形,但我需要根据边缘颜色引入图例。边缘颜色取决于边缘属性及其动态性质。我尝试使用visGroups / visLegend,但遇到了多个错误。 PFB可重复的例子。
library(igraph)
library(visNetwork)
gg <- graph.atlas(711)
V(gg)$name=1:7
gg=set_edge_attr(gg,"Department",E(gg)[1:10],c("A","B","C","A","E","C","G","B","C","A"))
E(gg)$label=E(gg)$Department
F2 <- colorRampPalette(c("red", "blue","orange","violet","cyan"), bias = length(unique(E(gg)$Department)), space = "rgb", interpolate = "linear")
colCodes <- F2(length(unique(E(gg)$Department)))
edges_col <- sapply(E(gg)$Department,function(x) colCodes[which(sort(unique(E(gg)$Department)) == x)])
E(gg)$color <-edges_col
datatest = toVisNetworkData(gg)
visNetwork(datatest$nodes,datatest$edges) %>% visIgraphLayout(layout="layout_in_circle")
我需要传说为红色 - A,蓝色 - C等。
请帮助。
答案 0 :(得分:4)
visLegend
首先基于节点组,但您也可以手动设置节点和/或边缘图例。 (?visLegend
)
例如:
# data.frame from edges legend
ledges <- data.frame(color = unique(edges_col),
label = unique(names(edges_col)))
visNetwork(datatest$nodes,datatest$edges) %>% visIgraphLayout(layout="layout_in_circle") %>%
visLegend(useGroups = F, addEdges = ledges)