README.md

In epiviz/epivizr-tmp: R Interface to epiviz web app

epivizR

The epivizr Bioconductor package implements two-way communication between the R/Bioconductor environment and the epiviz web app for interactive data visualization. Objects in the R environment can be displayed as tracks or scatterplots on Epiviz. Epivizr uses Websockets for communication between the browser Javascript client and the R environment using the same technology underlying the popular Shiny system for authoring interactive web-based reports in R.

Installation and requirements

Epivizr is available as part of the Bioconductor project as of version 2.13 which requires R version 3.0.2. Make sure you install the proper version before continuing. To install epivizr:

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

Try it out

The easiest way to try epivizr out is to follow the package vignette:

require(epivizr)
browseVignettes("epivizr")

A quick tour

You can get a quick tour of epiviz here: http://youtu.be/099c4wUxozA

Development version

This github repository contains the latest and greatest version of epivizr and is tracked by the devel version in Bioconductor (see http://bioconductor.org/developers/how-to/useDevel/ for more info.

Non-blocking

Epivizr now supports a non-blocking workflow on UNIX-like systems where data is served to the webapp without blocking the R/bioc interactive session. This requires an updated version of the httpuv package. You can install that using

require(devtools)
install_github("httpuv", username="epiviz", ref="daemon-unix")

We are working with Rstudio to fold that into the main httpuv release

More info

Check out the epiviz project page on github

epiviz/epivizr-tmp documentation built on May 16, 2019, 8:19 a.m.