To install this package, start R and enter:

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

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

plateCore

 

Statistical tools and data structures for plate-based flow cytometry

Bioconductor version: Release (3.1)

Provides basic S4 data structures and routines for analyzing plate based flow cytometry data.

Author: Errol Strain, Florian Hahne, and Perry Haaland

Maintainer: Errol Strain <estrain at gmail.com>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("plateCore")

 

PDF R Script An R Package for Analysis of High Throughput Flow Cytometry Data
PDF   Reference Manual

Details

biocViews CellBasedAssays, FlowCytometry, Infrastructure, Software
Version 1.26.0
In Bioconductor since BioC 2.5 (R-2.10) (6 years)
License Artistic-2.0
Depends R (>= 2.10), flowCore, flowViz, lattice, latticeExtra
Imports Biobase, flowCore, graphics, grDevices, lattice, MASS, methods, robustbase, stats, utils, flowStats
LinkingTo
Suggests gplots
SystemRequirements
Enhances
URL http://www.bioconductor.org
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source plateCore_1.26.0.tar.gz
Windows Binary plateCore_1.26.0.zip
Mac OS X 10.6 (Snow Leopard) plateCore_1.26.0.tgz
Mac OS X 10.9 (Mavericks) plateCore_1.26.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/plateCore/tree/release-3.1
Package Short Url http://bioconductor.org/packages/plateCore/
Package Downloads Report Download Stats

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