sk_tidy

Tidy results from <code>kendallSeasonalTrendTest</code>

Tools for performing routine analysis and plotting tasks with environmental
data from the System Wide Monitoring Program of the National Estuarine
Research Reserve System <https://cdmo.baruch.sc.edu/>. This package builds
on the functionality of the 'SWMPr' package <https://cran.r-project.org/package=SWMPr>,
which is used to retrieve and organize the data. The combined set of tools
address common challenges associated with continuous time series data
for environmental decision making, and are intended for use in annual reporting activities.
References:
Beck, Marcus W. (2016) <ISSN 2073-4859><https://journal.r-project.org/archive/2016-1/beck.pdf>
Rudis, Bob (2014) <https://rud.is/b/2014/11/16/moving-the-earth-well-alaska-hawaii-with-r/>.
United States Environmental Protection Agency (2015) <https://cfpub.epa.gov/si/si_public_record_Report.cfm?Lab=OWOW&dirEntryId=327030>.

Matt Dornback

SWMPrExtension

Functions for Analyzing and Plotting Estuary Monitoring Data

Julie Padilla

Marcus Beck

Kimberly Cressman

Dave Eslinger

Kirk Waters

Bob Rudis

Davis Vaughan

sk_tidy function

<dl><dt>data</dt>
<dd>a <code>htest</code> object produced by <code>kendallSeasonalTrendTest</code></dd>
<dt>station</dt>
<dd>chr string sampling station</dd>
<dt>param</dt>
<dd>chr string of variable to plot</dd>
<dt>stat</dt>
<dd>chr, label to be used for statistic used to group data</dd>
<dt>alpha</dt>
<dd>num, significance level. Defaults to 0.05</dd></dl>

Arguments

Author

Tidy Seasonal Kendall Results — sk_tidy

<dl>

<dt>data</dt>
<dd>a <code>htest</code> object produced by <code>kendallSeasonalTrendTest</code></dd>


<dt>station</dt>
<dd>chr string sampling station</dd>


<dt>param</dt>
<dd>chr string of variable to plot</dd>


<dt>stat</dt>
<dd>chr, label to be used for statistic used to group data</dd>


<dt>alpha</dt>
<dd>num, significance level. Defaults to 0.05</dd>

</dl>

Tidy Seasonal Kendall Results

sk_tidy: Tidy Seasonal Kendall Results

Description

Usage

Value

Arguments

Author

Details