filt.hierClust

: square correlation matrix with ids (can be used for also other than just samples)

mat.rho

: 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

: the number of samples in the resulting ordered matrix

size

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

plot

: default is 0.5 and is the filtering threshold to be applied

filt


This function takes as input a square similarity matrix and searches for clusters of samples with strong associations
and extracts the sub matrix with the closely related sampless. Only positive correlations are considered here.


'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.

filt.hierClust: filt.hierClust

Description

Usage

Arguments

Value

Details