sp_dendextend: Hierarchical cluster diagram

In Tong-Chen/ImageGP: For ImageGP cloud platform (https://www.bic.ac.cn/BIC)

Hierarchical cluster diagram

Description

Hierarchical cluster diagram

Usage

sp_dendextend(
  data,
  group_variable = NULL,
  branch_order = NULL,
  method = "complete",
  k = k,
  labels_size = 0.5,
  shape = "tree",
  pic_title = NULL,
  pic_flip = TRUE,
  node_size = 0.007,
  legend_site = "topleft",
  saveplot = NULL,
  ...
)

Arguments

data	A data frame.
group_variable	Specifies a column as group.
branch_order	Specify branch order.
method	The agglomeration method to be used. This should be (an unambiguous abbreviation of) one of "ward.D", "ward.D2", "single", "complete", "average" (= UPGMA), "mcquitty" (= WPGMA), "median" (= WPGMC) or "centroid" (= UPGMC).
k	Number of groups.
labels_size	Labels size.
shape	Tree or circles.
pic_title	Title of the graph.
pic_flip	TRUE for horizontal, FALSE for vertical. Default TRUE.
node_size	Node size.
legend_site	Legend site. Optional, "bottomright", "bottom", "bottomleft", "left", "topleft", "top", "topright", "right" and "center".
...

Examples

data<-matrix(rnorm(200),nrow = 50)
rownames(data)<- paste0("dendextend", 1:50)
colnames(data)<- paste0("zhou", 1:4)
sp_dendextend(data = data,k = 3,labels_size = 0.3)


data<- data.frame(ID = letters[1:5], apple = runif(50), banana = runif(50), watermelon = runif(50))
sp_dendextend(data = data, k = 5, method = "single", shape = "circle")

Tong-Chen/ImageGP documentation built on April 14, 2025, 12:54 p.m.