To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("flowStats")

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

flowStats

Statistical methods for the analysis of flow cytometry data

Bioconductor version: 3.1

Methods and functionality to analyse flow data that is beyond the basic infrastructure provided by the flowCore package.

Author: Florian Hahne, Nishant Gopalakrishnan, Alireza Hadj Khodabakhshi, Chao-Jen Wong, Kyongryun Lee

Maintainer: Greg Finak <gfinak at fhcrc.org> and Mike Jiang <wjiang2 at fhcrc.org>

Citation (from within R, enter citation("flowStats")):

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("flowStats")

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

browseVignettes("flowStats")

biocViews	CellBasedAssays, FlowCytometry, Software
Version	3.26.0
In Bioconductor since	BioC 2.4 (R-2.9) (6.5 years)
License	Artistic-2.0
Depends	R (>= 2.10), flowCore, fda (>= 2.2.6), mvoutlier, cluster, flowWorkspace
Imports	BiocGenerics, MASS, flowViz, flowCore, fda (>= 2.2.6), Biobase, methods, grDevices, graphics, stats, utils, KernSmooth, lattice, ks
LinkingTo
Suggests	xtable
SystemRequirements
Enhances	RBGL, ncdfFlow, graph
URL
Depends On Me	flowVS
Imports Me	openCyto, plateCore
Suggests Me	flowCore, flowQ, flowViz
Build Report

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

Package Source	flowStats_3.26.0.tar.gz
Windows Binary	flowStats_3.26.0.zip
Mac OS X 10.6 (Snow Leopard)	flowStats_3.26.0.tgz
Mac OS X 10.9 (Mavericks)	flowStats_3.26.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/flowStats/tree/release-3.1
Package Short Url	http://bioconductor.org/packages/flowStats/
Package Downloads Report	Download Stats

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