基于标签重新排序和颜色树状图

Question

我正在尝试控制树状图的顺序和颜色。显然，树状图的重点是按相似性排序，但在分支中，我想设置一个有意义的顺序（字母数字）。

library(vegan)
library(stats) 

x <-data.frame(data = c(1:10)) 
y = data.frame(type = c("A","B","C","A","C","D","A","B","C","B"), site_name = c("A1","B1","C1","A2","C2","D1","A3","B2","C3","B3"))  
row.names(x) = y$site_name 
dis = vegdist(x) 
hc <- hclust(dis) 
dd <- as.dendrogram(hc) 
plot(dd)

我的数据标签是文本，但它们确实在变量中列出了固定顺序

site_order = c("A1","A2","A3","B1","B2","B3","C1","C2","C3","D1")

1) 我想找到一个解决方案，根据分支内的site_order 对树状图进行排序。

例如A1,B1,A2,C1,C2,D2,A3,B2,B3,C3

我还想使用 site_type 为标签着色和形状 例如（A=红色圆圈，B=蓝色方块，C=绿色三角形，D=黄色十字）

这可能吗？

Answer 1

最好使用来自dendextend 的rotate 函数来完成这项工作。

library(vegan)
library(stats) 

x <-data.frame(data = c(1:10)) 
y = data.frame(type = c("A","B","C","A","C","D","A","B","C","B"), site_name = c("A1","B1","C1","A2","C2","D1","A3","B2","C3","B3"))  
row.names(x) = y$site_name 
dis = vegdist(x) 
hc <- hclust(dis) 
dd <- as.dendrogram(hc) 

par(mfrow = c(1,2))
plot(dd, main = "orig")

library(dendextend)
dd2 <- rotate(dd, sort(labels(dd)) )
plot(dd2, main = "as sorted as possible \n(under the constraints)")

输出：

您可以从the online vignettes 了解更多关于dendextend 包的信息。