To install this package, start R and enter:

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

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

flowQB

 

   

Automated Quadratic Characterization of Flow Cytometer Instrument Sensitivity: Q, B and CV instrinsic calculations

Bioconductor version: Release (3.4)

flowQB is a fully automated R Bioconductor package to calculate automatically the detector efficiency (Q), optical background (B) and intrinsic CV of the beads.

Author: Josef Spidlen, Faysal El Khettabi, Wayne Moore, David Parks, Ryan Brinkman

Maintainer: Josef Spidlen <jspidlen at bccrc.ca>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("flowQB")

 

PDF R Script flowQB package
PDF   Reference Manual
Text   NEWS

Details

biocViews FlowCytometry, MultiChannel, OneChannel, PeakDetection, QualityControl, Regression, Software
Version 2.2.0
In Bioconductor since BioC 2.11 (R-2.15) (4.5 years)
License Artistic-2.0
Depends
Imports methods, flowCore(>= 1.32.0), stats, extremevalues
LinkingTo
Suggests flowQBData, FlowRepositoryR, xlsx, RUnit, BiocGenerics
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me flowQBData
Build Report  

Package Archives

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

Package Source flowQB_2.2.0.tar.gz
Windows Binary flowQB_2.2.0.zip
Mac OS X 10.9 (Mavericks) flowQB_2.2.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/flowQB/tree/release-3.4
Package Short Url http://bioconductor.org/packages/flowQB/
Package Downloads Report Download Stats

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