The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

lightr: Read Spectrometric Data and Metadata

Parse various reflectance/transmittance/absorbance spectra file formats to extract spectral data and metadata, as described in Gruson, White & Maia (2019) <doi:10.21105/joss.01857>. Among other formats, it can import files from 'Avantes' <https://www.avantes.com/>, 'CRAIC' <https://www.microspectra.com/>, and 'OceanInsight' (formerly 'OceanOptics') <https://www.oceaninsight.com/> brands.

Version: 1.7.1
Depends: R (≥ 3.6.0)
Imports: future.apply, progressr, xml2 (≥ 1.0.0)
Suggests: digest, knitr, lintr, pavo, rmarkdown, spelling, testthat (≥ 3.0.0), withr
Published: 2024-03-21
Author: Hugo Gruson ORCID iD [cre, aut, cph], Rafael Maia ORCID iD [aut, cph], Thomas White ORCID iD [aut, cph], Kotya Karapetyan [ctb, cph] (Author of the MATLAB script to read AvaSoft7 binary files (CC-BY))
Maintainer: Hugo Gruson <hugo.gruson+R at normalesup.org>
BugReports: https://github.com/ropensci/lightr/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://docs.ropensci.org/lightr/, https://github.com/ropensci/lightr
NeedsCompilation: no
Language: en-GB
Citation: lightr citation info
Materials: README NEWS
CRAN checks: lightr results

Documentation:

Reference manual: lightr.pdf
Vignettes: Batch import with 'lr_get_spec()' and 'lr_get_metadata()'
Renormalise spectral data with a custom reference
Real life example

Downloads:

Package source: lightr_1.7.1.tar.gz
Windows binaries: r-devel: lightr_1.7.1.zip, r-release: lightr_1.7.1.zip, r-oldrel: lightr_1.7.1.zip
macOS binaries: r-release (arm64): lightr_1.7.1.tgz, r-oldrel (arm64): lightr_1.7.1.tgz, r-release (x86_64): lightr_1.7.1.tgz, r-oldrel (x86_64): lightr_1.7.1.tgz
Old sources: lightr archive

Reverse dependencies:

Reverse imports: pavo

Linking:

Please use the canonical form https://CRAN.R-project.org/package=lightr 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.
Health stats visible at Monitor.