igraph如何根据条件改变节点大小和边框颜色/粗细

Question

igraph如何根据条件改变节点大小和边框颜色/粗细

3

对于一个数据框架

df <- data.frame(g1=c("x1","x2","x2","x3","x4","x5","x5","x3"),
                               g2=c("y1","y4","y2","y4","y3","y4","y5","y4"), 
                               g1value=c(1,2,2,3,4,5,5,3),
                               g2value=c(2,4,2,4,5,4,NA, 4),
                               stringsAsFactors = FALSE)

library(igraph)
g=graph.data.frame(df, directed=F)
plot(g)

如何指定节点的大小，使得每个x节点的大小对应g1value，每个y节点对应g2value（如果其大小为na，则忽略该节点）？

如何根据条件变化节点边框颜色或厚度，例如当节点为x2时？

如果有许多节点，绘图结果很拥挤，有什么方法可以将它们分开？

谢谢。

- santoku

2

在你的例子中，同一节点有不同的大小。例如，y4 的大小为 4 和 3。 - user20650

1

抱歉，我已经修改了它。 - santoku

1个回答

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- user20650 · Accepted Answer

这是一个开始 - 你可以将不同大小和颜色的向量传递给plot.igraph的参数，以便它们应用于不同的节点。它们按照V(g)$name的顺序给出。

# tweaking your data to increase node size
df <- data.frame(g1=c("x1","x2","x2","x3","x4","x5","x5","x3"),
                 g2=c("y1","y4","y2","y4","y3","y4","y5","y4"), 
                 g1value=10*c(1,2,2,3,4,5,5,3),
                 g2value=10*c(2,4,2,4,5,4,NA, 4),
                 stringsAsFactors = FALSE)

library(igraph)

g <- graph.data.frame(df[,1:2], directed=F)

# create a vector of vertex sizes conditional on g*values in df
# set missing values to size 0 
r <- data.frame(g=c(df$g1, df$g2), value=c(df$g1value, df$g2value))
sz <- r$value[match(V(g)$name, r$g)]
sz[is.na(sz)] <- 0 

# create a vertor of border colours conditional on node type
bd <- ifelse(grepl("x", V(g)$name), "red", NA) 

# add the size and border colour vectors to relevant plot arguments     
plot(g, vertex.size=sz, vertex.frame.color=bd)

igraph有很好的帮助页面，查看?igraph::layout以获取图形布局选项，?plot.igraph和?igraph.plotting以获取一些绘图选项/参数。

对于边框宽度，请参考此链接。