driftR: Drift Correcting Water Quality Data

A tidy implementation of equations that correct for instrumental drift in continuous water quality monitoring data. There are many sources of water quality data including private (ex: YSI instruments) and open source (ex: USGS and NDBC), each of which are susceptible to errors/inaccuracies due to drift. This package allows the user to correct their data using one or two standard reference values in a uniform, reproducible way. The equations implemented are from Hasenmueller (2011) <doi:10.7936/K7N014KS>.

Version: 1.0.0
Imports: dplyr, ggplot2, readr, stringr, rlang, tibble, magrittr, glue
Suggests: testthat, knitr, rmarkdown, covr
Published: 2017-12-18
Author: Andrew Shaughnessy [aut, cre], Christopher Prener [aut], Elizabeth Hasenmueller [aut]
Maintainer: Andrew Shaughnessy <andrew.shaughnessy at slu.edu>
BugReports: https://github.com/shaughnessyar/driftR/issues
License: GPL-3
URL: https://github.com/shaughnessyar/driftR
NeedsCompilation: no
Materials: README NEWS
CRAN checks: driftR results

Downloads:

Reference manual: driftR.pdf
Vignettes: Exploring Data in R
Using Data from other Sources
Tidy Evaluation in driftR
driftR
Package source: driftR_1.0.0.tar.gz
Windows binaries: r-prerel: driftR_1.0.0.zip, r-release: driftR_1.0.0.zip, r-oldrel: driftR_1.0.0.zip
OS X binaries: r-prerel: driftR_1.0.0.tgz, r-release: driftR_1.0.0.tgz

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