To install this package, start R and enter:

## try http if https is not available
source("https://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: 3.1

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:

## try http if https is not available
source("https://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	1.4.0
In Bioconductor since	BioC 2.14 (R-3.1) (1.5 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

Package Archives

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

Package Source	flowCyBar_1.4.0.tar.gz
Windows Binary	flowCyBar_1.4.0.zip
Mac OS X 10.6 (Snow Leopard)	flowCyBar_1.4.0.tgz
Mac OS X 10.9 (Mavericks)	flowCyBar_1.4.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/flowCyBar/tree/release-3.1
Package Short Url	http://bioconductor.org/packages/flowCyBar/
Package Downloads Report	Download Stats

Documentation »

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