show_hcluster: Perform hclustering analysis

In ProfessionalFarmer/loonR: Common function in bioinformatics analysis

Perform hclustering analysis

Description

Perform hclustering analysis

Usage

show_hcluster(
  df,
  group = NULL,
  dist.method = "euclidean",
  hclust.method = "ward.D2",
  color.pla = "npg",
  main = "",
  cutree = 0
)

Arguments

df	row is gene, col is sample
dist.method	Default euclidean. This must be one of "euclidean", "maximum", "manhattan", "canberra", "binary" or "minkowski". Any unambiguous substring can be given.
hclust.method	Default ward.D2. 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).
color.pla	Default npg
main	Title
cutree	Number of clusters

Examples

data(LIRI)
loonR::show_hcluster(t(LIRI[,3:5]), LIRI$status)

ProfessionalFarmer/loonR documentation built on Oct. 9, 2024, 9:56 p.m.