I just updated my R for Business Analytics site (http://rforanalytics.wordpress.com/ ). Additions are as below you can go to http://rforanalytics.wordpress.com/ for the complete list- What I am trying to do is build a kind of Task View dedicated to Business Analytics (aimed at Business Analyst and Data Scientists) with slightly better HTML ( maybe Markdown later on) and some visual appeal.

—————ADDITIONS TO R FOR ANALYTICS COMPANION SITE

Interviews with R Community

http://rforanalytics.wordpress.com/interviews-with-r-community/

Developers

Jeroen Ooms (OpenCPU)

https://decisionstats.com/2013/03/18/interview-jeroen-ooms-opencpu-rstats/

Christian (Statace)

https://decisionstats.com/2013/11/18/interview-christian-mladenov-ceo-statace-excellent-and-hot-rstats-startup/

Ian Fellows (Deducer)

https://decisionstats.com/2013/04/03/interview-dr-ian-fellows-fellstat-com-rstats-deducer/

Jeff Allen (Trestle)

https://decisionstats.com/2013/02/02/interview-jeff-allen-trestle-technology-rstats-rshiny/

Gergely Darcozi (RApporter)

https://decisionstats.com/2013/01/04/the-making-of-a-r-startup-part-1-rstats/

ODBC /Databases for R (including Hadoop and NoSQL)

http://rforanalytics.wordpress.com/useful-links-for-r/odbc-databases-for-r/

R with MongoDB

http://cran.r-project.org/web/packages/rmongodb/rmongodb.pdf

This R package provides an interface to the NoSQL MongoDB database
using the MongoDB C-driver version 0.8

ps-

R with JSON

http://cran.r-project.org/web/packages/jsonlite/index.html

This package is a fork of the RJSONIO package

R with CouchDB

https://github.com/wactbprot/R4CouchDB

R with MonetDB

http://cran.r-project.org/web/packages/MonetDB.R/index.html

MonetDB.R: Connect MonetDB to R

Allows to pull data from MonetDB into R

Cassandra with R

http://cran.r-project.org/web/packages/RCassandra/RCassandra.pdf

Neo4j with R

http://things-about-r.tumblr.com/post/47392314578/venue-recommendation-a-simple-use-case-connecting-r

# Function for querying Neo4j from within R 
# from http://stackoverflow.com/questions/11188918/use-neo4j-with-r
query <- function(querystring) {
    h = basicTextGatherer()
    curlPerform(url = "localhost:7474/db/data/ext/CypherPlugin/graphdb/execute_query", 
        postfields = paste("query", curlEscape(querystring), 
        sep = "="), writefunction = h$update, verbose = FALSE)
    result <- fromJSON(h$value())
    data <- data.frame(t(sapply(result$data, unlist)))
    names(data) <- result$columns
    return(data)
}

# -------------------------------------- 
# import all data into neo4j
# --------------------------------------
nrow(venueDataset)  # number of venues

https://github.com/RevolutionAnalytics/RHadoop/wiki

RHadoop consists of the following packages:

NEW! plyrmr – higher level plyr-like data processing for structured data, powered by rmr
rmr – functions providing Hadoop MapReduce functionality in R
rhdfs – functions providing file management of the HDFS from within R
rhbase – functions providing database management for the HBase distributed database from within R

R with Spark

http://amplab-extras.github.io/SparkR-pkg/

SparkR is an R package that provides a light-weight frontend to use Apache Spark from R. SparkR exposes the Spark API through the RDD class and allows users to interactively run jobs from the R shell on a cluster.

R with Hive

http://nexr.github.io/RHive/

RHive is an R extension facilitating distributed computing via HIVE query. RHive allows easy usage of HQL(Hive SQL) in R, and allows easy usage of R objects and R functions in Hive.

http://cran.r-project.org/web/packages/RHive/index.html