hierClust

: frequency matrix with gene_ids in the rownames

data

: the distance can be performed on the columns or on the rows

side

: the type of distance used. By default this is correlation based similarity

dist

: when correlation matrix, the default is spearman

cor.type

: the hierarchical clustering method, by default it is the ward method

hclust.method

: a vector of colors to be applied in the columns, usually depincting a class

side.col.c

: a vector of colors to be applied in the rows, usually depincting a class

side.col.r

: logical default TRUE. It will plot the heatmap of the similarity with the hierchical clustering

plot


This function computes the pairwise distance between samples and computes a hierarchical clustering
that is further depicted as a heatmap graphic


'MetaOMineR' suite is a set of R packages that offers many functions and modules needed for the analyses
of quantitative metagenomics data. 'momr' is the core package and contains routines for biomarker identification and exploration.
Developed since the beginning of field, 'momr' has evolved and is structured around the different modules
such as preprocessing, analysis, vizualisation, etc. See package help for more information.

hierClust: hierClust

Description

Usage

Arguments

Value

Details