lm_p_labs

Generate a dataframe of p-value labels based on p-values from linear regression

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

lm_p_labs function

<dl><dt>dat_in</dt>
<dd><code>data.frame</code> with year, season, min, mean, max columns</dd></dl>

Arguments

Author

P-Value labels for Plotting — lm_p_labs

<dl>

<dt>dat_in</dt>
<dd><code>data.frame</code> with year, season, min, mean, max columns</dd>

</dl>

P-Value labels for Plotting

lm_p_labs: P-Value labels for Plotting

Description

Usage

Value

Arguments

Author

Details

See Also