【发布时间】:2015-09-05 00:11:00
【问题描述】:
我是 R 新手,我正在尝试使用 dist() 和 hclust() 构建一个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。如果有人有任何建议,谢谢。
我尝试了许多不同的方法来标记这些树状图,但都没有成功,使用 as.dendrogram()、colnames()、rownames() 和 label()。然而,输出的树状图有无意义的标签。我正在尝试按“家庭”-“X22”、“X4”、“X75”、“X87”来标记树状图。以下是应用的不同方法,但无济于事。
这是数据框:
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
此代码生成此矩阵。但是没有标注
1 2 3
2 1.851852
3 3.060077 1.208225
4 0.719598 2.571450 3.779675
这些是我添加标签的尝试
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)
【问题讨论】:
-
谢谢你,Tal,你帮了大忙。
标签: r dendrogram dendextend