windowingQuantFunc

Takes 1 time series dataframe and adds a some columns specifying the 
rolling quantile and rolling mean of the selected column.

internal

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

windowingQuantFunc function

<dl><dt>DF</dt>
<dd>dataframe containing columns:
date: date variable communicating the day the measurement is from
window: singular type column saying what window the rolling function
 should use
quant: singular value column saying what quantile to return
*column: DF needs to contain a column with the same name as the string
in the variable column</dd>
<dt>column</dt>
<dd>what column to use for the rolling quantile and mean functions</dd></dl>

Arguments

create rolling quantile column based on date — windowingQuantFunc

<dl>

<dt>DF</dt>
<dd>dataframe containing columns:
date: date variable communicating the day the measurement is from
window: singular type column saying what window the rolling function
 should use
quant: singular value column saying what quantile to return
*column: DF needs to contain a column with the same name as the string
in the variable column</dd>


<dt>column</dt>
<dd>what column to use for the rolling quantile and mean functions</dd>

</dl>

windowingQuantFunc: create rolling quantile column based on date

Description

Usage

Value

Arguments