toy_metadata

(Data) Data frame of covariate information about toy_otu_table.

datasets

Understanding the drivers of microbial diversity is an important frontier of microbial ecology, and investigating the diversity of samples from microbial ecosystems is a common step in any microbiome analysis. 'breakaway' is the premier package for statistical analysis of microbial diversity. 'breakaway' implements the latest and greatest estimates of species richness, described in Willis and Bunge (2015) <doi:10.1111/biom.12332>, Willis et al. (2017) <doi:10.1111/rssc.12206>, and Willis (2016) <arXiv:1604.02598>, as well as the most commonly used estimates, including the objective Bayes approach described in Barger and Bunge (2010) <doi:10.1214/10-BA527>.

Amy D Willis

breakaway

Species Richness Estimation and Modeling

Bryan D Martin

Pauline Trinh

Sarah Teichman

David Clausen

Kathryn Barger

John Bunge

toy_metadata function

A data frame with 143 rows and 4 variables:<dl>
 <dt>Years</dt>
<dd>Year of sampling</dd> <dt>bloom2</dt>
<dd>Did the sample correspond to a bloom event?</dd> <dt>Period</dt>
<dd>What season was sampled?</dd> <dt>Site</dt>
<dd>Where was the sample taken from?</dd> ...</dl>

Format

(Data) Data frame of covariate information about toy_otu_table. — toy_metadata

A data frame with 143 rows and 4 variables:<dl>
 <dt>Years</dt>
<dd>Year of sampling</dd>

 <dt>bloom2</dt>
<dd>Did the sample correspond to a bloom event?</dd>

 <dt>Period</dt>
<dd>What season was sampled?</dd>

 <dt>Site</dt>
<dd>Where was the sample taken from?</dd>

 ...

</dl>

toy_metadata: (Data) Data frame of covariate information about toy_otu_table.

Description

Usage

Arguments

Format