Divide and Recombine for Large, Complex Data

Methods for dividing data into subsets, applying analytical methods to the subsets, and recombining the results. Comes with a generic MapReduce interface as well. Works with key-value pairs stored in memory, on local disk, or on HDFS, in the latter case using the R and Hadoop Integrated Programming Environment (RHIPE).


datadr: Divide and Recombine in R

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datadr is an R package that leverages RHIPE to provide a simple interface to division and recombination (D&R) methods for large complex data.

To get started, see the package documentation and function reference located here.

Visualization tools based on D&R can be found here.

Installation

# from CRAN:
install.packages("datadr")

# from github:
devtools::install_github("delta-rho/datadr")

License

This software is currently under the BSD license. Please read the license document.

Acknowledgement

datadr development is sponsored by:

  • U.S. Department of Defense Advanced Research Projects Agency, XDATA program
  • U.S. Department of Homeland Security, Science and Technology Directorate, Homeland Security Advanced Research Projects Agency (HSARPA)
  • Pacific Northwest National Laboratory, operated by Battelle for the U.S. Department of Energy, LDRD Program, Signature Discovery and Future Power Grid Initiatives

Reference manual

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install.packages("datadr")

0.8.6.1 by ORPHANED, 8 years ago


http://deltarho.org/docs-datadr


Browse source code at https://github.com/cran/datadr


Authors: Ryan Hafen [aut, cre] , Landon Sego [ctb]


Documentation:   PDF Manual  


BSD_3_clause + file LICENSE license


Imports data.table, digest, codetools, hexbin, parallel, magrittr, dplyr, methods

Suggests testthat, roxygen2, Rhipe, lattice


See at CRAN