explore_endpoints

Open an interactive app in a browser. Using this
function is a quick and convenient way
to explore data. For more customization, the R-code to
produce each graph and table is displayed in the app. That is
a good starting-point for a custom analysis.

Data analysis package for estimating potential biological effects from chemical concentrations in environmental samples. Included are a set of functions to analyze, visualize, and organize measured concentration data as it relates to user-selected chemical-biological interaction benchmark data such as water quality criteria. The intent of these analyses is to develop a better understanding of the potential biological relevance of environmental chemistry data. Results can be used to prioritize which chemicals at which sites may be of greatest concern. These methods are meant to be used as a screening technique to predict potential for biological influence from chemicals that ultimately need to be validated with direct biological assays. A description of the analysis can be found in Blackwell (2017) <doi:10.1021/acs.est.7b01613>.

Laura DeCicco

toxEval

Exploring Biological Relevance of Environmental Chemistry
Observations

Steven Corsi

Daniel Villeneuve

Brett Blackwell

Gerald Ankley

Alison Appling

Dalma Martinovic

explore_endpoints function

<dl><dt>browse</dt>
<dd>Logical. Use browser for running Shiny app.</dd></dl>

Arguments

Explore data in the Shiny Application — explore_endpoints

<dl>

<dt>browse</dt>
<dd>Logical. Use browser for running Shiny app.</dd>

</dl>

explore_endpoints: Explore data in the Shiny Application

Description

Usage

Arguments