Description Details Author(s) References See Also Examples

This package extends the bigmemory package with various analytics. In addition
to the more obvious summary statistics (see `colmean`

, etc...),
biganalytics offers `biglm.big.matrix`

,
`bigglm.big.matrix`

, `bigkmeans`

,
`binit`

, and `apply`

for `big.matrix`

objects. Some of the functions may be used with native **R** objects, as well,
providing gains in speed and memory-efficiency.

Package: | biganalytics |

Type: | Package |

Version: | 1.1.3 |

Date: | 2012-09-08 |

License: | LGPL-3 | Apache License 2.0 |

Copyright: | (C) 2014 John W. Emerson and Michael J. Kane |

URL: | http://www.bigmemory.org |

LazyLoad: | yes |

The bigmemory package contains the core `big.matrix`

support; biganalytics contains tools for exploratory data analysis as well as
more advanced analytics on `big.matrix`

objects. Sister packages synchronicity,
bigtabulate, and bigalgebra provide additional functionality.

John W. Emerson and Michael J. Kane

Maintainer: Michael J. Kane <[email protected]>

The Bigmemory Project: http://www.bigmemory.org/.

For example, see
`big.matrix`

, `biglm`

,
`bigkmeans`

, `binit`

, `colmean`

.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | ```
# Our examples are all trivial in size, rather than burning huge amounts
# of memory simply to demonstrate the package functionality.
library(bigmemory)
x <- big.matrix(5, 2, type="integer", init=0,
dimnames=list(NULL, c("alpha", "beta")))
x
x[,]
x[,1] <- 1:5
x[,]
mean(x)
colmean(x)
summary(x)
apply(x, 1, mean)
``` |

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