hawaii

(Data) Frequency count table of soil microbes in Hawaii.

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

hawaii function

A data frame with 198 rows and 2 variables:<dl>
 <dt>index</dt>
<dd>an index variable</dd> <dt>frequency</dt>
<dd>number of taxa that were observed with this frequency</dd> ...</dl>

Format

(Data) Frequency count table of soil microbes in Hawaii. — hawaii

A data frame with 198 rows and 2 variables:<dl>
 <dt>index</dt>
<dd>an index variable</dd>

 <dt>frequency</dt>
<dd>number of taxa that were observed with this frequency</dd>

 ...

</dl>

hawaii: (Data) Frequency count table of soil microbes in Hawaii.

Description

Usage

Arguments

Format

References