To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("flowCyBar")
In most cases, you don't need to download the package archive at all.
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Bioconductor version: 3.2
A package to analyze flow cytometric data using gate information to follow population/community dynamics
Author: Joachim Schumann <joachim.schumann at ufz.de>, Christin Koch <christin.koch at ufz.de>, Susanne Günther <susanne.guenther at ufz.de>, Ingo Fetzer <ingo.fetzer at stockholmresilience.su.se>, Susann Müller <susann.mueller at ufz.de>
Maintainer: Joachim Schumann <joachim.schumann at ufz.de>
Citation (from within R,
enter citation("flowCyBar")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("flowCyBar")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("flowCyBar")
Analyze flow cytometric data using gate information | ||
Reference Manual |
biocViews | CellBasedAssays, Clustering, FlowCytometry, Software, Visualization |
Version | 1.6.0 |
In Bioconductor since | BioC 2.14 (R-3.1) (2 years) |
License | GPL-2 |
Depends | R (>= 3.0.0) |
Imports | gplots, vegan, methods |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | http://www.ufz.de/index.php?de=16773 |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | flowCyBar_1.6.0.tar.gz |
Windows Binary | flowCyBar_1.6.0.zip |
Mac OS X 10.6 (Snow Leopard) | flowCyBar_1.6.0.tgz |
Mac OS X 10.9 (Mavericks) | flowCyBar_1.6.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/flowCyBar/tree/release-3.2 |
Package Short Url | http://bioconductor.org/packages/flowCyBar/ |
Package Downloads Report | Download Stats |
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