hclust_methods: Hierarchical clustering method comparison

In lisaschneider0509/lipidomeComparisonR:

Description

'hclust_methods' takes a data frame and prints three dendrograms, one each for average linkage, single linkage and complete linkage.

Usage

hclust_methods(
  input_df,
  labs = row.names(input_df),
  title = "Hierarchical clustering method comparison",
  dist_method = "euclidean",
  out_path = "none"
)

Arguments

input_df	data frame.
labs	vector. Labels of dendrogram. Default: rownames(input_df)
title	string. Plot title. Default = "Hierarchical clustering method comparison".
dist_method	string. MEthod for distance function. = c("euclidean", "manhattan")
out_path	string. Path to save plot to png. Default = to device.

Details

This function takes a data frame and transforms it into a matrix. The given matrix is then used to perform hiererchical clustering with the average, single and complete linkage methods. The three clustering methods are then displayed as dendrograms. This plot is ment as a help to find ozt which clustering method should be used.

lisaschneider0509/lipidomeComparisonR documentation built on Aug. 12, 2020, 12:52 a.m.