To install this package, start R and enter:

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

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

AnalysisPageServer

   

This package is for version 3.2 of Bioconductor; for the stable, up-to-date release version, see AnalysisPageServer.

A framework for sharing interactive data and plots from R through the web.

Bioconductor version: 3.2

AnalysisPageServer is a modular system that enables sharing of customizable R analyses via the web.

Author: Brad Friedman <friedman.brad at gene.com>, Adrian Nowicki, Hunter Whitney <hunter at hunterwhitney.com>, Matthew Brauer <brauer.matthew at gene.com>

Maintainer: Brad Friedman <friedmab at gene.com>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("AnalysisPageServer")

 

HTML 0. AnalysisPageServer
HTML 1. Making Static Content Interactive with AnalysisPageServer
HTML 2. Embedding APS datasets in other documents
HTML 3. AnalysisPageServer Interactivity
HTML 4. Non-interactive servers and Rook Deployment
HTML 5. Interactive Apps AnalysisPageServer
HTML 6. Apache Deployment
HTML 7. FastRWeb Deployment
HTML 8. Condition Trapping
HTML 8. Licenses
PDF   Reference Manual
Text   NEWS
Text   INSTALL

Details

biocViews DataRepresentation, GUI, Software, Visualization
Version 1.4.1
In Bioconductor since BioC 3.1 (R-3.2) (1 year)
License Artistic-2.0
Depends
Imports log4r, tools, rjson, Biobase, graph
LinkingTo
Suggests RUnit, XML, SVGAnnotation, knitr
SystemRequirements
Enhances Rook (>= 1.1), fork, FastRWeb, ggplot2
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source AnalysisPageServer_1.4.1.tar.gz
Windows Binary AnalysisPageServer_1.4.1.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) AnalysisPageServer_1.4.0.tgz
Mac OS X 10.9 (Mavericks) AnalysisPageServer_1.4.1.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/AnalysisPageServer/tree/release-3.2
Package Short Url http://bioconductor.org/packages/AnalysisPageServer/
Package Downloads Report Download Stats

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