To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("flowCyBar")

In most cases, you don't need to download the package archive at all.

flowCyBar

Analyze flow cytometric data using gate information

Bioconductor version: Release (3.0)

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")):

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("flowCyBar")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("flowCyBar")

 

PDF R Script Analyze flow cytometric data using gate information
PDF   Reference Manual

Details

biocViews CellBasedAssays, Clustering, FlowCytometry, Software, Visualization
Version 1.2.1
In Bioconductor since BioC 2.14 (R-3.1)
License GPL-2
Depends R (>= 3.0.0)
Imports gplots, vegan, methods
Suggests
System Requirements
URL http://www.ufz.de/index.php?de=16773
Depends On Me
Imports Me
Suggests Me

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source flowCyBar_1.2.1.tar.gz
Windows Binary flowCyBar_1.2.1.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) flowCyBar_1.2.1.tgz
Mac OS X 10.9 (Mavericks) flowCyBar_1.2.1.tgz
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