organizeServer

Server components for the organize input 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 

organizeServer function

<dl><dt>id</dt>
<dd>An ID string that corresponds with the ID used to call the module's
UI function.</dd>
<dt>tidy_omic</dt>
<dd>an object of class tidy_omic produced by
<code>create_tidy_omic</code></dd>
<dt>feature_vars</dt>
<dd>variables available for arranging features</dd>
<dt>sample_vars</dt>
<dd>variables available for arrange samples</dd>
<dt>value_var</dt>
<dd>An abundance value to use with <code>hclust</code></dd></dl>

Arguments

Organize Servers — organizeServer

<dl>

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


<dt>tidy_omic</dt>
<dd>an object of class tidy_omic produced by
<code>create_tidy_omic</code></dd>


<dt>feature_vars</dt>
<dd>variables available for arranging features</dd>


<dt>sample_vars</dt>
<dd>variables available for arrange samples</dd>


<dt>value_var</dt>
<dd>An abundance value to use with <code>hclust</code></dd>

</dl>

organizeServer: Organize Servers

Description

Usage

Value

Arguments