Package: racir 2.0.0

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.

Authors:Joseph Stinziano [aut, cre]

racir_2.0.0.tar.gz
racir_2.0.0.zip(r-4.5)racir_2.0.0.zip(r-4.4)racir_2.0.0.zip(r-4.3)
racir_2.0.0.tgz(r-4.4-any)racir_2.0.0.tgz(r-4.3-any)
racir_2.0.0.tar.gz(r-4.5-noble)racir_2.0.0.tar.gz(r-4.4-noble)
racir_2.0.0.tgz(r-4.4-emscripten)racir_2.0.0.tgz(r-4.3-emscripten)
racir.pdf |racir.html
racir/json (API)
NEWS

# Install 'racir' in R:
install.packages('racir', repos = c('https://jstinzi.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/jstinzi/racir/issues

On CRAN:

4.00 score 2 stars 5 scripts 135 downloads 7 exports 0 dependencies

Last updated 4 years agofrom:3850ebf0fa. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 19 2024
R-4.5-winOKNov 19 2024
R-4.5-linuxOKNov 19 2024
R-4.4-winOKNov 19 2024
R-4.4-macOKNov 19 2024
R-4.3-winOKNov 19 2024
R-4.3-macOKNov 19 2024

Exports:racircalracircal_advancedracircalbatchracircalbatch_advancedracircalcheckracircalcheck_advancedread_6800

Dependencies:

racir - Rapid A/Ci response analysis

Rendered fromracir_teach.Rmdusingknitr::rmarkdownon Nov 19 2024.

Last update: 2020-07-28
Started: 2018-09-17