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iRfcb  

Tools for Managing Imaging FlowCytobot (IFCB) Data
View on CRAN: Click here


Download and install iRfcb package within the R console
Install from CRAN:
install.packages("iRfcb")

Install from Github:
library("remotes")
install_github("cran/iRfcb")

Install by package version:
library("remotes")
install_version("iRfcb", "0.7.0")



Attach the package and use:
library("iRfcb")
Maintained by
Anders Torstensson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-03-15
Latest Update: 2025-04-22
Description:
A comprehensive suite of tools for managing, processing, and analyzing data from the IFCB. I R FlowCytobot ('iRfcb') supports quality control, geospatial analysis, and preparation of IFCB data for publication in databases like <https://www.gbif.org>, <https://www.obis.org>, <https://emodnet.ec.europa.eu/en>, <https://shark.smhi.se/>, and <https://www.ecotaxa.org>. The package integrates with the MATLAB 'ifcb-analysis' tool, which is described in Sosik and Olson (2007) <doi:10.4319/lom.2007.5.204>, and provides features for working with raw, manually classified, and machine learning–classified image datasets. Key functionalities include image extraction, particle size distribution analysis, taxonomic data handling, and biomass concentration calculations, essential for plankton research.
How to cite:
Anders Torstensson (2025). iRfcb: Tools for Managing Imaging FlowCytobot (IFCB) Data. R package version 0.7.0, https://cran.r-project.org/web/packages/iRfcb. Accessed 06 Jun. 2026.
Previous versions and publish date:
0.4.3 (2025-03-15 18:20), 0.5.0 (2025-04-15 21:30), 0.5.1 (2025-04-22 17:50), 0.5.2 (2025-09-03 07:30), 0.6.0 (2025-11-20 11:10), 0.7.0 (2026-01-08 00:00), 0.8.0 (2026-02-27 19:20)
Other packages that cited iRfcb R package
View iRfcb citation profile
Other R packages that iRfcb depends, imports, suggests or enhances
Complete documentation for iRfcb
Functions, R codes and Examples using the iRfcb R package
Full iRfcb package functions and examples
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