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我是R新手,我试图使用dist()和hclust()构建水平和垂直标记的树状图。我已经构建了六种不同的类型,但似乎无法添加标签。谢谢,如果有人有任何建议。标记垂直和水平树状图
我试过用as.dendrogram(),colnames(),rownames()和label()来标记这些树状图没有成功的许多不同方法。但是,输出树状图具有无意义的标签。我试图用“家庭” - “X22”,“X4”,“X75”,“X87”来标记树形图。以下是应用的不同方法,无效。
这里是数据帧:
Family SBI.CV.mean
1 X22 59.25926
2 X4 57.40741
3 X75 56.19918
4 X87 59.97886
library(dendextend)
family1$Family <- as.factor(family1$Family)
class(family1$Family)
str(family1)
family2 <- ddply(family1,.(Family), summarise,
SBI.CV.mean = mean(SBI.CV))
family2
class(family2)
par(mfrow = c(3,3))
x_dist <- dist(x=family2$SBI.CV, method="euclidean")
x_dist
class(x_dist)
x_dist <- read.table(header=T, text=c("X22", "X4", "X75", "X87"))
x_dist2=as.matrix(x_dist2, labels=TRUE,)
colnames(x_dist) <- rownames(x_dist) <- x_dist2[["X22","X4","X75","X87"]]
x_dist2
此代码生成该矩阵。然而,它没有标记
1 2 3
2 1.851852
3 3.060077 1.208225
4 0.719598 2.571450 3.779675
这是我的尝试,据我了解,你问两个问题添加标签
require(graphics)
labs=paste(c("X22", "X4", "X75", "X87"), 1:4, sep="")
x_dist2 <- x_dist
x_dist2
colnames(x_dist2) <- labs
Dendro.data <- hclust(dist(x_dist2), "euclidean")
plot(as.dendrogram(Dendro.data), horiz=T)
require(graphics)
labs=paste(c("X22", "X4", "X75", "X87"), 1:4, sep="")
x_dist3 <- x_dist
colnames(x_dist3) <- labs
Dendro.data <- hclust(dist(x_dist3), "ave")
plot(as.dendrogram(x_dist3), hang=-1)
str(Dendro.data)
hc <- hclust(dist(family2$SBI.CV), "ave")
plot(hc)
plot(as.dendrogram(hc, hang=0.02), horiz = TRUE)
dend1 <- as.dendrogram(Dendro.data)
dend1
dend1_mod_01 <- dend1
dend1_mod_01 <- colour_branches(dend1_mod_01, k=2)
col_for_labels <- c("purple","purple","orange","purple",
"orange","dark green")
dend_mod_01 <- color_labels(dend1_mod_01,col=col_for_labels)
plot(Dendro.data)
plot(dend1_mod_01)
谢谢塔尔,你是一个很好的帮助。 –