我一直遇到麻烦。我只能在一个图表中获得一个或另一个但不能同时获得两个选项。下面是代码,我从@lukeA获得了很多帮助,让我到了这一步。
我有以下图表,其中我可以将群集颜色加入<select name="ID" style="border-width: 1px; width: 260px;" >
<%
For idx = 1 to Ubound (g_Array)
%>
<option value="<%response.Write(idx)%>"
<% If Request.Form("ID") = idx Then Response.Write("selected") %>> <%response.write(g_Array(idx))%>
</option>
<%
next
%>
</select>
visNetwork
:
Igraph
然后我想在不显示标签的情况下这样做。仅当您将鼠标悬停在节点上时。因此,当我尝试应用@lukeA中的悬停选项时,颜色未显示:
library(igraph)
library(visNetwork)
B = matrix(
c(1, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 47, 3, 0, 3, 0, 1, 10, 13, 5,
0, 3, 19, 0, 1, 0, 1, 7, 3, 1,
0, 0, 0, 3, 0, 0, 0, 0, 0, 0,
0, 3, 1, 0, 32, 0, 0, 3, 2, 1,
0, 0, 0, 0, 0, 2, 0, 0, 0, 0,
0, 1, 1, 0, 0, 0, 2, 1, 1, 0,
0, 10, 7, 0, 3, 0, 1, 90, 12, 4,
0, 13, 3, 0, 2, 0, 1, 12, 52, 4,
0, 5, 1, 0, 1, 0, 0, 4, 4, 18),
nrow=10,
ncol=10)
colnames(B) <- c("A", "B", "C", "D", "E", "F", "G", "H", "I", "J")
rownames(B) <- c("A", "B", "C", "D", "E", "F", "G", "H", "I", "J")
g96e = t(B) %*% B
i96e = graph.adjacency(g96e, mode = "undirected", weighted = TRUE, diag=FALSE)
V(i96e)$label = V(i96e)$name
V(i96e)$label.color = rgb(0,0,.2,.8)
V(i96e)$label.cex = .1
V(i96e)$size = 2
V(i96e)$color = rgb(0,0,1,.5)
V(i96e)$frame.color = V(i96e)$color
fc<-fastgreedy.community(i96e, merges=TRUE, modularity=TRUE,
membership=TRUE, weights=E(i96e)$weight)
colors <- rainbow(max(membership(fc)))
col = c("#80FF00FF", "#FF0000FF", "#FF0000FF", "#00FFFFFF",
"#FF0000FF", "#8000FFFF", "#FF0000FF", "#FF0000FF",
"#FF0000FF", "#FF0000FF")
i96e <- set.vertex.attribute(i96e, name = "group",value = col)
i96e = graph.adjacency(g96e, mode = "undirected", weighted = TRUE, diag=FALSE)
i96e <- set.vertex.attribute(i96e, name = "group",value = col)
visIgraph(i96e, idToLabel = F, layout = "layout_nicely") %>%
visOptions(highlightNearest = TRUE, selectedBy = "group")
我不知道如何播放视频,但您可以将鼠标悬停在每个节点上,它将提供标签名称。
如何将群集颜色添加到悬停选项图?
谢谢!
答案 0 :(得分:1)
以下产生了所需的结果:
# ...
i96e <- set.vertex.attribute(i96e, name = "group",value = col)
i96e = graph.adjacency(g96e, mode = "undirected", weighted = TRUE, diag=FALSE)
i96e <- set.vertex.attribute(i96e, name = "group",value = col)
V(i96e)$title <- V(i96e)$name
visIgraph(i96e, idToLabel = F, layout = "layout_nicely") %>%
visOptions_custom(highlightNearest = TRUE, selectedBy = "group")