microbial0.0.22 package

Do 16s Data Analysis and Generate Figures

betadiv

calcaute beta diversity

betatest

PERMANOVA test for phyloseq

biomarker

Identify biomarker by using randomForest method

buildTree

contruction of plylogenetic tree (extreme slow)

data-physeq

The physeq data was modified from the (Data) Global patterns of 16S rR...

difftest

Calculate differential bacteria with DESeq2

distcolor

distinguish colors for making figures

do_aov

do anova test and return results as data.frame

do_ttest

do t.test

do_wilcox

do wilcox test

dot-checkfile

check file format

dot-getstar

replace p value with star

dot-lda.fun

LEfse function

glmr

Do the generalized linear model regression

ldamarker

Identify biomarker by using LEfSe method

lightcolor

light colors for making figures

normalize

Normalize the phyloseq object with different methods

otu_table

extract otu table

phy_tree

Retrieve phylogenetic tree (phylo-class) from object.

plotalpha

plot alpha diversity

plotbar

plot bar for relative abundance for bacteria

plotbeta

plot beta diversity

plotdiff

plot differential results

plotLDA

plot LEfSe results from ldamarker function

plotmarker

plot the biomarker from the biomarker function with randomForest

plotquality

plot the quality for the fastq file

prefilter

filter the phyloseq

preRef

Download the reference database

processSeq

Perform dada2 analysis

psmelt

Melt phyloseq data object into large data.frame

richness

calculat the richness for the phyloseq object

sample_data

extract sample information

subset_samples

Subset the phyloseq based on sample

subset_taxa

Subset species by taxonomic expression

tax_table

extract taxonomy table

Provides functions to enhance the available statistical analysis procedures in R by providing simple functions to analysis and visualize the 16S rRNA data.Here we present a tutorial with minimum working examples to demonstrate usage and dependencies.

  • Maintainer: Kai Guo
  • License: GPL-3
  • Last published: 2025-10-06