impute_zeros

Simple imputation: When the abundance table contains zeros, a positive value is added
to all the values in the table. It adds 1 when the minimum of table is larger than 1 (i.e. tables of counts) or
it adds half of the minimum value of the table, otherwise.

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

impute_zeros function

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

Arguments

Author

impute_zeros — impute_zeros

<dl>

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

</dl>

impute_zeros: impute_zeros

Description

Usage

Value

Arguments

Author

Examples