To install this package, start R and enter:

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

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

flowCHIC

 

Analyze flow cytometric data using histogram information

Bioconductor version: Release (3.1)

A package to analyze flow cytometric data of complex microbial communities based on histogram images

Author: Joachim Schumann <joachim.schumann at ufz.de>, Christin Koch <christin.koch at ufz.de>, Ingo Fetzer <info.fetzer at stockholmresilience.su.se>, Susann Müller <susann.mueller at ufz.de>

Maintainer: Author: Joachim Schumann <joachim.schumann at ufz.de>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("flowCHIC")

 

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

Details

biocViews CellBasedAssays, Clustering, FlowCytometry, Software, Visualization
Version 1.2.0
In Bioconductor since BioC 3.0 (R-3.1) (1 year)
License GPL-2
Depends R (>= 3.1.0)
Imports methods, flowCore, EBImage, vegan, hexbin, ggplot2, grid
LinkingTo
Suggests
SystemRequirements
Enhances
URL http://www.ufz.de/index.php?en=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 flowCHIC_1.2.0.tar.gz
Windows Binary flowCHIC_1.2.0.zip
Mac OS X 10.6 (Snow Leopard) flowCHIC_1.2.0.tgz
Mac OS X 10.9 (Mavericks) flowCHIC_1.2.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/flowCHIC/tree/release-3.1
Package Short Url http://bioconductor.org/packages/flowCHIC/
Package Downloads Report Download Stats

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