plot_missing_values

Create a simple plot of missing values.

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 Molecular Data

Calico Life Sciences LLC 

plot_missing_values function

<dl><dt>tomic</dt>
<dd>Either a <code>tidy_omic</code> or <code>triple_omic</code> object</dd>
<dt>value_var</dt>
<dd>the measurement variable to check for missingness (NA or no entry)</dd></dl>

Arguments

Plot Missing Values — plot_missing_values

<dl>

<dt>tomic</dt>
<dd>Either a <code>tidy_omic</code> or <code>triple_omic</code> object</dd>


<dt>value_var</dt>
<dd>the measurement variable to check for missingness (NA or no entry)</dd>

</dl>

plot_missing_values: Plot Missing Values

Description

Usage

Value

Arguments

Examples