ggBivOutput

UI components for the ggBivariate module.

Represents high-dimensional data as tables of features, samples and measurements, and a design list for tracking the meaning of individual variables. Using this format, filtering, normalization, and other transformations of a dataset can be carried out in a flexible manner. 'romic' takes advantage of these transformations to create interactive 'shiny' apps for exploratory data analysis such as an interactive heatmap.

Sean Hackett

romic

R for High-Dimensional Omic Data

Calico Life Sciences LLC 

ggBivOutput function

<dl><dt>id</dt>
<dd>An ID string that corresponds with the ID used to call the module's
UI function.</dd>
<dt>return_brushed_points</dt>
<dd>Return values selected on the plot</dd></dl>

Arguments

ggBivariate Output — ggBivOutput

<dl>

<dt>id</dt>
<dd>An ID string that corresponds with the ID used to call the module's
UI function.</dd>


<dt>return_brushed_points</dt>
<dd>Return values selected on the plot</dd>

</dl>

ggBivOutput: ggBivariate Output

Description

Usage

Value

Arguments