otu_mini_multi

<p>A dataset containing relatives abundances of OTUs for human stool samples</p>

datasets

An interface to build machine learning models for
classification and regression problems. 'mikropml' implements the ML
pipeline described by Topçuoğlu et al. (2020)
<doi:10.1128/mBio.00434-20> with reasonable default options for data
preprocessing, hyperparameter tuning, cross-validation, testing, model
evaluation, and interpretation steps.  See the website
<https://www.schlosslab.org/mikropml/> for more information,
documentation, and examples.

Kelly Sovacool

mikropml

User-Friendly R Package for Supervised Machine Learning
Pipelines

Begüm Topçuoğlu

Zena Lapp

Evan Snitkin

Jenna Wiens

Patrick Schloss

Nick Lesniak

Courtney Armour

Sarah Lucas

otu_mini_multi function

<p>A data frame
The <code>dx</code> column is the colorectal cancer diagnosis: adenoma, carcinoma, normal.
All other columns are OTU relative abundances.</p>

Format

Mini OTU abundance dataset with 3 categorical variables — otu_mini_multi

Mini OTU abundance dataset with 3 categorical variables

otu_mini_multi: Mini OTU abundance dataset with 3 categorical variables

Description

Usage

Arguments

Format