lm_p_labs

<p><code>data.frame</code> with year, season, min, mean, max columns</p>

dat_in

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

Tools for performing routine analysis and plotting tasks with environmental
data from the System Wide Monitoring Program of the National Estuarine
Research Reserve System <http://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>.
United States Environmental Protection Agency (2012) <http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.646.1973&rep=rep1&type=pdf>.

Dave Eslinger

SWMPrExtension

Functions for Analyzing and Plotting Estuary Monitoring Data

Julie Padilla

Marcus Beck

Kimberly Cressman

Bob Rudis

lm_p_labs function

P-Value labels for Plotting — lm_p_labs

P-Value labels for Plotting

lm_p_labs: P-Value labels for Plotting

Description

Usage

Arguments

Value

Details

See Also