This package extends the bigmemory package with various analytics. In addition
to the more obvious summary statistics (see
objects. Some of the functions may be used with native R objects, as well,
providing gains in speed and memory-efficiency.
|License:||LGPL-3 | Apache License 2.0|
|Copyright:||(C) 2014 John W. Emerson and Michael J. Kane|
The bigmemory package contains the core
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/.
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# 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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