R for big data

Add by webbedfeet | May 27, 2013 17:21  57339 |  3953
R for big data
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R for big data
1 Basic stack
1.1 MASS
1.2 Hmisc
1.3 plyr
1.4 data.table
1.5 reshape2
1.6 ggplot2
1.7 caret
1.8 party
1.9 tm
2 Integrated platforms
2.1 RStudio
2.1.1 RStudio Server
2.1.2 Shiny Server
3 Visualization
3.1 lattice
3.2 hexbin
3.2.1 Bioconductor
3.3 ash
3.3.1 Bioconductor
3.4 scagnostics
3.5 bigvis
3.6 igraph
3.7 iplots
3.8 rgl
4 Data formats
4.1 Flat text
4.1.1 readLines
4.1.2 read.table
4.1.3 read.fwf
4.1.4 sqldf
4.2 HDF5
4.2.1 hdf5
4.3 SQL
4.3.1 sqldf
4.3.2 RODBC
4.3.3 Rmysql
4.3.4 RJDBC
4.3.5 ROracle
4.4 NoSQL
4.4.1 MongoDB
4.4.1.1 rmongodb
4.4.1.2 RMongo
4.4.2 CouchDB
4.4.2.1 R4CouchDB
4.5 JSON
4.5.1 RJSONIO
4.5.2 rjson
4.6 XML
4.6.1 XML
4.7 HBase
4.7.1 rhbase (Revolution)
5 Large & out-of-memory data
5.1 ff
5.2 bigmemory
5.3 biglm
5.4 biglars
5.5 bigrf
6 Hadoop
6.1 RHIPE
6.2 rmr
6.3 HadoopStreaming

framework for use in Hadoop Streaming

6.4 Revolution Analytics
6.4.1 rhbase
6.4.2 rhdfs
7 Glue
7.1 Rgraphviz
7.1.1 Graphviz
7.2 Rcpp
7.3 rJava
7.4 rPython
8 As backend
8.1 Rserve
8.1.1 Python
8.1.1.1 pyrserve
8.1.2 Web
8.2 Python
8.2.1 rpy2
8.2.2 pyper
8.3 Perl
8.3.1 Statistics::useR
8.4 Web
8.4.1 FastRWeb
8.4.2 Rserve
8.4.3 Shiny Server
8.5 SAS
8.5.1 PROC IML (version 9.22+)
8.5.2 PROC_R macro
9 GPU
9.1 gputools
10 in-database analytics
10.1 Teradata
10.1.1 TeradataR
10.2 Oracle
10.2.1 Advanced Analytics
10.3 Netezza
10.4 SAP HANA
10.4.1 RHANA
11 Parallel
11.1 parallel
11.2 Rmpi
11.3 foreach
11.3.1 doMC
11.3.2 doSNOW
11.3.3 doMPI
12 Efficiency
12.1 C API
12.2 Rcpp
13 Packages
13.1 CRAN
13.1.1 4501 packages
13.1.2 Growth
A1 CRAN Task Views

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