This package implements an extension of principal component analysis (PCA) tailored to handle multiple data tables. It can handle Big Data in the sense that the variation in massive data can be described by intervals [a, b] and multiple tables.
| Version: | 0.1.0 |
| Depends: | scatterplot3d, sqldf |
| Published: | 2013-09-15 |
| Author: | Brahim Brahim and Sun Makosso-Kallyth |
| Maintainer: | Brahim Brahim <brahim.brahim at bigdatavisualizations.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | GPCSIV results |
| Reference manual: | GPCSIV.pdf |
| Package source: | GPCSIV_0.1.0.tar.gz |
| Windows binaries: | r-devel: GPCSIV_0.1.0.zip, r-release: GPCSIV_0.1.0.zip, r-oldrel: GPCSIV_0.1.0.zip |
| macOS binaries: | r-release: GPCSIV_0.1.0.tgz, r-oldrel: GPCSIV_0.1.0.tgz |
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