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Programming Language :: R [Remove This Filter]
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Topic :: High Performance Computing :: Large Memory [Remove This Filter]
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3 projects in result set.
0. Plot manageable subsets of data - Plotting a large data set is difficult if it does not fit into memory as a data frame, so we introduce more efficient data structures and alternative plot functions that work with large data. | |
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Activity Percentile: 0.00 Registered: 2009-09-29 11:02 |
1. Large objects for R - Package 'ff' supports fast on-disk objects: standard and packed atomics, ffdf data.frames, csv import/export, chunking and indexing. Integrated package 'bit' supports fast in-memory booleans: 'bit' (1-bit boolean), 'bitwhich' (asymetric booleans). | |
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Activity Percentile: 0.00 Registered: 2009-07-19 10:21 |
2. colbycol - This is a package intended for reading huge text data files into R by processing columns one by one individually. | |
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Activity Percentile: 0.00 Registered: 2009-05-18 10:18 |