To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("rflowcyt")

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

rflowcyt

This package is for version 2.8 of Bioconductor; for the stable, up-to-date release version, see rflowcyt.

Statistical tools and data structures for analytic flow cytometry

Bioconductor version: 2.8

Provides basic S4 data structures and routines for analysing flow cytometry data.

Author: A.J. Rossini, J.Y. Wan, N. LeMeur and Zoe Moodie

Maintainer: N. LeMeur <nlemeur at fhcrc.org>

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

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("rflowcyt")

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

browseVignettes("rflowcyt")

PDF		rflowcyt.pdf
PDF		Reference Manual

biocViews	Bioinformatics, CellBasedAssays, Infrastructure, Software
Version	1.24.0
In Bioconductor since	BioC 1.6 (R-2.1) or earlier (> 11 years)
License	GPL-2
Depends	R (>= 2.3.0), fields, hexbin, lattice, locfit, methods, prada, rfcdmin(>= 0.9.0), splancs, stats, survival, xgobi, xtable
Imports	Biobase, KernSmooth, grDevices, graphics, hexbin, lattice, methods, prada, stats, survival, utils
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me	prada, rfcdmin
Build Report

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

Package Source	rflowcyt_1.24.0.tar.gz
Windows Binary	rflowcyt_1.24.0.zip
Mac OS X 10.6 (Snow Leopard)
Mac OS X 10.9 (Mavericks)
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/rflowcyt/tree/release-2.8
Package Short Url	http://bioconductor.org/packages/rflowcyt/
Package Downloads Report	Download Stats

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