我正在 R 上使用 ggtree 构建一棵树。
library(ggtree)
这是 newick 文件内容:
tree = read.newick("newick_tree")
这是我使用的代码:
colfunc <- colorRampPalette(c("red", "blue"))
col=colfunc(110)
for (i in 1:length(tree$node.label)){
if(as.vector(tree$node.label[i])>0.99){
col[i]<-'#CB1414'
} else if(as.vector(tree$node.label[i])>0.90 & (as.vector(tree$node.label[i]) < 0.99)){
col[i]<-'#F0F014'
} else if(as.vector(tree$node.label[i])>0.76 & (as.vector(tree$node.label[i]) < 0.90)){
col[i]<-'#098527'
} else if(as.vector(tree$node.label[i])>0.51 & (as.vector(tree$node.label[i]) < 0.76)){
col[i]<-'#18D8F7'
} else if(as.vector(tree$node.label[i])>0 & (as.vector(tree$node.label[i]) < 0.50)){
col[i]<-'#1B72DB'
}
}
p<-ggtree(tree,size=0.5,branch.length="none") +geom_tiplab(size = 2, col ="black") + geom_nodepoint(color=col, alpha=1, size=1.5, show.legend = TRUE)+
geom_treescale(x=30, y=1)
为了根据引导级别获取点颜色,我使用了这部分:geom_nodepoint(color=col, alpha=1, size=1.5, show.legend = TRUE)
其中 col
是一个变量,例如:
> col
[1] "#CB1414" "#FC0002" "#FA0004" "#F70007" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414"
[15] "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#F0F014" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414"
[29] "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414"
[43] "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#F0F014" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#098527" "#CB1414"
[57] "#CB1414" "#18D8F7" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414"
[71] "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#F0F014" "#098527" "#098527" "#CB1414"
[85] "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#F0F014" "#CB1414" "#098527" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#1B72DB"
[99] "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414" "#CB1414"
我根据这个变量中的数字制作:
> tree$node.labe
[1] "1" "" "" "0.99" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1"
[21] "1" "0.97" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1"
[41] "1" "1" "1" "1" "1" "1" "1" "1" "1" "0.98" "1" "1" "1" "1" "0.89" "1" "1" "0.64" "1" "1"
[61] "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1"
[81] "0.92" "0.8" "0.77" "1" "1" "1" "1" "1" "0.96" "1" "0.84" "1" "1" "1" "1" "1" "1" "0.48" "1" "1"
[101] "1" "1" "1" "1" "1" "1" "1" "1" "1" "1"
但选项 show.legend = TRUE
对此不起作用。
有人有想法吗?我还尝试添加 p + theme(legend.position="right")
但仍然没有图例。
感谢您的帮助。
这是代表(树)
最佳答案
树中的节点数为 221,最终点有 111 个。因此,您的 col
向量需要有 221 个元素;前 111 个指定最终点的颜色。
以下是从 tree$node.label
开始创建正确 col
向量的方法:
x <- c(rep(NA,111), as.numeric(tree$node.label)*100)
col <- cut(x, breaks=c(0,50,75,90,99,100))
col <- factor(col, levels=rev(levels(col)))
col <- factor(col, labels=c("100%","91-99%","76-90%","51-75%","0-50%"))
节点点可以使用颜色
美学来着色:
library(ggtree)
library(ggplot2)
p <- ggtree(tree, size=0.5,branch.length="none") +
geom_tiplab(size = 2, col ="black") +
geom_point(aes(color=col), alpha=1, size=1.5, show.legend = TRUE) +
geom_treescale(x=30, y=1) +
theme(legend.position="right") +
scale_colour_manual(na.translate = F, name="Bootstrap support",
values=c("#CB1414","#F0F014","#098527","#18D8F7","#1B72DB")) +
guides(color = guide_legend(override.aes = list(size = 5)))
p
关于r - 将图例添加到 ggtree (ggplot) R,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/55722055/