sgolaySmoothMod

sgolaySmoothMod
Add a column of the smoothed values using sgolayfilt

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

sgolaySmoothMod function

<dl><dt>DF</dt>
<dd>dataframe containing the columns specified below</dd>
<dt>InVar</dt>
<dd>The column to be smoothed</dd>
<dt>OutVar</dt>
<dd>The name of the new column</dd>
<dt>poly</dt>
<dd>The degree of the polynomial fit</dd>
<dt>n</dt>
<dd>The number of points per polynomial fed into sgolayfilt. 
if it equals "guess" then it is found using parameterGuess</dd>
<dt>Filter</dt>
<dd>Prefilter using the value of a Filter col</dd></dl>

Arguments

sgolaySmoothMod
Add a column of the smoothed values using sgolayfilt — sgolaySmoothMod

<dl>

<dt>DF</dt>
<dd>dataframe containing the columns specified below</dd>


<dt>InVar</dt>
<dd>The column to be smoothed</dd>


<dt>OutVar</dt>
<dd>The name of the new column</dd>


<dt>poly</dt>
<dd>The degree of the polynomial fit</dd>


<dt>n</dt>
<dd>The number of points per polynomial fed into sgolayfilt. 
if it equals "guess" then it is found using parameterGuess</dd>


<dt>Filter</dt>
<dd>Prefilter using the value of a Filter col</dd>

</dl>

sgolaySmoothMod: sgolaySmoothMod Add a column of the smoothed values using sgolayfilt

Description

Usage

Value

Arguments

Examples