pasolli_et_al

(Data) Data frame of covariate information about pasolli_et_al.

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

pasolli_et_al function

A data frame with 4930 rows and 9 variables:<dl>
 <dt>SGB.ID</dt>
<dd>sample ID</dd> <dt>AverageAbundance</dt>
<dd>average abundance in the sample</dd> <dt>std</dt>
<dd>standard deviation</dd> <dt>q1</dt>
<dd>first quartile</dd> <dt>MedianAbundance</dt>
<dd>median abundance</dd> <dt>q3</dt>
<dd>third quartile</dd> <dt>min</dt>
<dd>minimum</dd> <dt>max</dt>
<dd>maximum</dd> <dt>#.Samples</dt>
<dd>number of samples</dd> ...</dl>

Format

(Data) Data frame of covariate information about pasolli_et_al. — pasolli_et_al

A data frame with 4930 rows and 9 variables:<dl>
 <dt>SGB.ID</dt>
<dd>sample ID</dd>

 <dt>AverageAbundance</dt>
<dd>average abundance in the sample</dd>

 <dt>std</dt>
<dd>standard deviation</dd>

 <dt>q1</dt>
<dd>first quartile</dd>

 <dt>MedianAbundance</dt>
<dd>median abundance</dd>

 <dt>q3</dt>
<dd>third quartile</dd>

 <dt>min</dt>
<dd>minimum</dd>

 <dt>max</dt>
<dd>maximum</dd>

 <dt>#.Samples</dt>
<dd>number of samples</dd>

 ...

</dl>

pasolli_et_al: (Data) Data frame of covariate information about pasolli_et_al.

Description

Usage

Arguments

Format