plot_16

This tool performs pairwise correlation analysis and estimate causality.
Particularly, it is useful for detecting the metabolites that would be altered by the gut bacteria.

Tomomi Sugiyama

CausCor

Calculate Correlations and Estimate Causality

plot_16 function

<dl><dt>a_mat</dt>
<dd>Matrix of measurements of A for each sample.</dd>
<dt>b_mat</dt>
<dd>Matrix of measurements of B for each sample.</dd>
<dt>list</dt>
<dd>List of results.</dd>
<dt>out_info</dt>
<dd>Output directory.</dd>
<dt>x_italic</dt>
<dd>Italicize the x-axis label of the plot. The default is False.</dd>
<dt>y_italic</dt>
<dd>Italicize the y-axis label of the plot. The default is True.</dd></dl>

Arguments

Save scatter plots — plot_16

<dl>

<dt>a_mat</dt>
<dd>Matrix of measurements of A for each sample.</dd>


<dt>b_mat</dt>
<dd>Matrix of measurements of B for each sample.</dd>


<dt>list</dt>
<dd>List of results.</dd>


<dt>out_info</dt>
<dd>Output directory.</dd>


<dt>x_italic</dt>
<dd>Italicize the x-axis label of the plot. The default is False.</dd>


<dt>y_italic</dt>
<dd>Italicize the y-axis label of the plot. The default is True.</dd>

</dl>

plot_16: Save scatter plots

Description

Usage

Arguments