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racir: Rapid A/Ci Response (RACiR) Data Analysis

Contains functions useful for reading in Licor 6800 files, correcting and analyzing rapid A/Ci response (RACiR) data. Requires some user interaction to adjust the calibration (empty chamber) data file to a useable range. Calibration uses a 1st to 5th order polynomial as suggested in Stinziano et al. (2017) <doi:10.1111/pce.12911>. Data can be processed individually or batch processed for all files paired with a given calibration file. RACiR is a trademark of LI-COR Biosciences, and used with permission.

Version: 2.0.0
Depends: R (≥ 4.0.0)
Imports: utils, stats, graphics
Suggests: knitr, rmarkdown, testthat
Published: 2020-08-03
Author: Joseph Stinziano ORCID iD [aut, cre]
Maintainer: Joseph Stinziano <josephstinziano at gmail.com>
BugReports: https://github.com/jstinzi/racir/issues
License: MIT + file LICENSE
URL: https://github.com/jstinzi/racir
NeedsCompilation: no
Citation: racir citation info
Materials: README NEWS
CRAN checks: racir results

Documentation:

Reference manual: racir.pdf
Vignettes: racir - Rapid A/Ci response analysis

Downloads:

Package source: racir_2.0.0.tar.gz
Windows binaries: r-devel: racir_2.0.0.zip, r-release: racir_2.0.0.zip, r-oldrel: racir_2.0.0.zip
macOS binaries: r-release (arm64): racir_2.0.0.tgz, r-oldrel (arm64): racir_2.0.0.tgz, r-release (x86_64): racir_2.0.0.tgz, r-oldrel (x86_64): racir_2.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=racir to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.