explore_zeros

Provides the proportion of zeros for a pair of variables (taxa) in table x and the proportion of samples
with zero in both variables. A bar plot with this information is also provided.
Results can be stratified by a categorical variable.

Functions for microbiome data analysis that take into account its compositional nature. Performs variable selection through penalized regression for both, cross-sectional and longitudinal studies, and for binary and continuous outcomes.

Toni Susin

coda4microbiome

Compositional Data Analysis for Microbiome Studies

Malu Calle

Meritxell Pujolassos

explore_zeros function

<dl><dt>x</dt>
<dd>abundance matrix or data frame (rows are samples, columns are variables (taxa))</dd>
<dt>id1</dt>
<dd>column number in x for the first taxa</dd>
<dt>id2</dt>
<dd>column number in x for the second taxa</dd>
<dt>strata</dt>
<dd>stratification variable (default = NULL)</dd></dl>

Arguments

Author

explore_zeros — explore_zeros

<dl>

<dt>x</dt>
<dd>abundance matrix or data frame (rows are samples, columns are variables (taxa))</dd>


<dt>id1</dt>
<dd>column number in x for the first taxa</dd>


<dt>id2</dt>
<dd>column number in x for the second taxa</dd>


<dt>strata</dt>
<dd>stratification variable (default = NULL)</dd>

</dl>

explore_zeros: explore_zeros

Description

Usage

Value

Arguments

Author

Examples