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私はネットワークを持っており、ノードの次数を発見しました。 私は2つのグラフ作成：最初度以上のノードが大きく、Iが第2のグラフは、常にbarplotあるノード 異なるグラフィックスのノードに同じ色を割り当てます。
RColorBrewerライブラリを使用するようにネットワークを表す
- を各ノードの次数を表す。
私は、同じノードが同じ色であることを望みます。 たとえば、最初のグラフのValjeanノードは緑色/青色で、2番目のグラフは黄色です。
両方のグラフで同じ色になるようにするにはどうすればよいですか？
これはコードです：
library(igraph)
library(RColorBrewer)
library(sna)
library(scales)
library(plotrix)
net <- read.graph("./s.gml", format = c("gml"))
dput(net)
# find degree
deg <- igraph::degree(net, mode = "all")
pal <- rev(colorRampPalette(RColorBrewer::brewer.pal(9, "Set2"))(max(deg)))
##### FIRST CHART ######
labelSpecific <- ifelse(igraph::degree(net) > 35, V(net)$label, NA)
lab1 <- labelSpecific
V(net)$label.color <- "black"
x11()
V(net)$frame.color <- NA
plot(net,
vertex.color = pal[deg - min(deg) + 1],
vertex.size = plotrix::rescale(deg, c(4, 15)),
vertex.label = lab1,
main = "Degree")
###### SECOND CHART #########
mar.default <- c(5, 4, 4, 2) + 0.1
par(mar = mar.default + c(4, 0, 0, 0))
V(net)$label <- V(net)$label
x11()
barplot(height = deg,
space = 1,
names.arg = V(net)$label,
main = "Degree",
ylab = "Degree",
ylim = c(0, 40),
cex.axis = 1,
cex.names = 0.6,
col = pal,
border = NA,
las = 2)
私はthis imageを取得します。
マイネットワークがある：あなたが2つの異なる色ベクトルを渡している
> dput(net)
structure(list(77, FALSE, c(1, 2, 3, 3, 4, 5, 6, 7, 8, 9, 11,
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"Geborand", "Champtercier", "Cravatte", "Count", "OldMan",
"Labarre", "Valjean", "Marguerite", "MmeDeR", "Isabeau",
"Gervais", "Tholomyes", "Listolier", "Fameuil", "Blacheville",
"Favourite", "Dahlia", "Zephine", "Fantine", "MmeThenardier",
"Thenardier", "Cosette", "Javert", "Fauchelevent", "Bamatabois",
"Perpetue", "Simplice", "Scaufflaire", "Woman1", "Judge",
"Champmathieu", "Brevet", "Chenildieu", "Cochepaille",
"Pontmercy", "Boulatruelle", "Eponine", "Anzelma", "Woman2",
"MotherInnocent", "Gribier", "Jondrette", "MmeBurgon",
"Gavroche", "Gillenormand", "Magnon", "MlleGillenormand",
"MmePontmercy", "MlleVaubois", "LtGillenormand", "Marius",
"BaronessT", "Mabeuf", "Enjolras", "Combeferre", "Prouvaire",
"Feuilly", "Courfeyrac", "Bahorel", "Bossuet", "Joly",
"Grantaire", "MotherPlutarch", "Gueulemer", "Babet",
"Claquesous", "Montparnasse", "Toussaint", "Child1",
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<environment>), class = "igraph")
こんにちは、ありがとう！ – four