RStorm: Simulate and Develop Streaming Processing in [R]

While streaming processing provides opportunities to deal with extremely large and ever growing data sets in (near) real time, the development of streaming algorithms for complex models is often cumbersome: the software packages that facilitate streaming processing in production environments do not provide statisticians with the simulation, estimation, and plotting tools they are used to. Developers of streaming algorithms would thus benefit from the flexibility of [R] to create, plot and compute data while developing streaming algorithms. Package RStorm implements a streaming architecture modeled on Storm for easy development and testing of streaming algorithms in [R]. RStorm is not intended as a production package, but rather a development tool for streaming algorithms.

Install the latest version of this package by entering the following in R:
AuthorMaurits Kaptein
Date of publication2013-08-28 12:25:31
MaintainerMaurits Kaptein <>

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AddBolt Man page
AddFinalize Man page
Bolt Man page
ChangeSpout Man page
Emit Man page
GetHash Man page
GetHashList Man page
GetHashNames Man page
GetTrack Man page
GetTrackNames Man page
is.Bolt Man page
is.RStorm Man page
is.Topology Man page
is.Tuple Man page
plot.RStorm Man page
plot.Topology Man page
print.RStorm Man page
print.Topology Man page
RStorm Man page
RStorm.env Man page
RStorm-package Man page
sentences Man page
SetHash Man page
ShowFinalize Man page
Topology Man page
TrackRow Man page
Tuple Man page

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