Prepare, Analyze, and Visualize Covid-19 Wastewater Data

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.


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Covid19 Wastewater Analysis Package

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This is an R package of utilities to perform wastewater data analysis for pathogenic surveillance and monitoring.

This project is a collaboration between the University of Wisconsin-Madison Data Science Institute (DSI), the Wisconsin Department of Health Services (DHS), and the State Lab of Hygiene (SLH).

Getting started

View our getting started guide to learn more about this R package, or follow the steps below to install, view examples, and get help inside your favorite R interpreter.

Installation

Install from CRAN using this command

install.packages("Covid19Wastewater")

Otherwise, we have comprehensive instructions here.

After installation, view our vignettes

vignette(package = "Covid19Wastewater")

or get help.

help(package = "Covid19Wastewater")

Examples

We've included a set of instructional examples to make this package easy to learn and understand.

Documentation

vignette(package = "Covid19Wastewater")
  • Look at all package functionality with:
help(package = "Covid19Wastewater")

Package Application

We applied this package to Covid-19 data from Wisconsin in our analysis repository here.

License

Distributed under the MIT License. See the license for more information.

Team

Email:

Repos:

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("Covid19Wastewater")

1.0.1 by Marlin Lee, 3 years ago


https://github.com/UW-Madison-DSI/Covid19Wastewater


Browse source code at https://github.com/cran/Covid19Wastewater


Authors: Marlin Lee [aut, cre] , Kyllan Wunder [aut] , Abe Megahed [aut]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports data.table, dplyr, forecast, ggplot2, grDevices, gridExtra, methods, partykit, patchwork, plotly, plyr, randomForest, RcppRoll, reshape2, rlang, rsample, scales, signal, stats, tidyr, tidyselect, zoo

Suggests knitr, rmarkdown


See at CRAN