removeOutliers

Add column with NA values where the data was flagged

Intended to make the process of
analyzing epidemiological wastewater data easier and more insightful.
Includes tools for preparing, analyzing, and visualizing data. It
additionally includes Wisconsin's Covid19 data.

Marlin Lee

Covid19Wastewater

Prepare, Analyze, and Visualize Covid-19 Wastewater Data

Kyllan Wunder

Abe Megahed

removeOutliers function

<dl><dt>DF</dt>
<dd>DF containing the columns Measure and Filtcol</dd>
<dt>Messure</dt>
<dd>The original measurement we want to keep inliers for</dd>
<dt>Filtcol</dt>
<dd>the column containing the Boolean info needed to remove outliers</dd>
<dt>outputColName</dt>
<dd>the name for the clean column</dd></dl>

Arguments

Add column with NA values where the data was flagged — removeOutliers

<dl>

<dt>DF</dt>
<dd>DF containing the columns Measure and Filtcol</dd>


<dt>Messure</dt>
<dd>The original measurement we want to keep inliers for</dd>


<dt>Filtcol</dt>
<dd>the column containing the Boolean info needed to remove outliers</dd>


<dt>outputColName</dt>
<dd>the name for the clean column</dd>

</dl>

removeOutliers: Add column with NA values where the data was flagged

Description

Usage

Value

Arguments

Examples