PDF4PRO ⚡AMP

Modern search engine that looking for books and documents around the web

Example: marketing

The bigmemory Package: Handling Large Data Sets in R …

JSS Journal of Statistical Software MMMMMM YYYY, Volume VV, Issue II. The R Package bigmemory : Supporting Efficient Computation and Concurrent Programming with Large Data Sets. John W. Emerson Michael J. Kane Yale University Yale University Abstract Multi-gigabyte data sets challenge and frustrate R users even on well-equipped hard- ware. C/C++ and Fortran programming can be helpful, but is cumbersome for interactive data analysis and lacks the flexibility and power of R's rich statistical programming envi- ronment. The new package bigmemory bridges this gap, implementing massive matrices in memory (managed in R but implemented in C++) and supporting their basic manipu- lation and exploration.

2 The bigmemory Package The new package bigmemory bridges the gap between R and C++, implementing massive matrices in memory and supporting their basic manipulation and exploration.

Loading..

Tags:

  Packages, Bigmemory package, Bigmemory

Information

Domain:

Source:

Link to this page:

Please notify us if you found a problem with this document:

Spam in document Broken preview Other abuse

Transcription of The bigmemory Package: Handling Large Data Sets in R …

Related search queries