Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
BioConductor
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Results 1 - 6 of 6 found.
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binit (Package: biganalytics) : Count elements appearing in bins of one or two variables

Provides preliminary counting functionality to eventually support graphical exploration or as an alternative to table. Note the availability of bigtabulate.
● Data Source: CranContrib
● Keywords:
● Alias: binit
● 0 images

colmin (Package: biganalytics) : Basic summary statistics for ``big.matrix'' objects

Functions operate on columns of a big.matrix object
● Data Source: CranContrib
● Keywords:
● Alias: colmax, colmax,big.matrix-method, colmean, colmean,big.matrix-method, colmin, colmin,big.matrix-method, colmin,min,colmax,max,colprod,prod,colsum,sum,colrange,range,colmean,mean,colvar,var,colsd,sd,colna,summary, colna, colna,big.matrix-method, colprod, colprod,big.matrix-method, colrange, colrange,big.matrix-method, colsd, colsd,big.matrix-method, colsum, colsum,big.matrix-method, colvar, colvar,big.matrix-method, max,big.matrix-method, mean,big.matrix-method, min,big.matrix-method, prod,big.matrix-method, range,big.matrix-method, sum,big.matrix-method, summary,big.matrix-method
● 0 images

apply,big.matrix-method (Package: biganalytics) : apply() for big.matrix objects

apply for big.matrix objects. Note that the performance may be degraded (compared to apply with regular R matrices) because of S4 overhead associated with extracting data from big.matrix objects. This sort of limitation is unavoidable and would be the case (or even worse) with other "custom" data structures. Of course, this would only be partically significant if you are applying over lengthy rows or columns.
● Data Source: CranContrib
● Keywords:
● Alias: apply,big.matrix-method
● 0 images

bigkmeans (Package: biganalytics) : Memory-efficient k-means cluster analysis

k-means cluster analysis without the memory overhead, and possibly in parallel using shared memory.
● Data Source: CranContrib
● Keywords:
● Alias: bigkmeans
● 0 images

biganalytics-package (Package: biganalytics) : Utilities for big.matrix objects of package bigmemory

Extend 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.
● Data Source: CranContrib
● Keywords: package
● Alias: biganalytics, biganalytics-package
● 0 images

bigglm.big.matrix (Package: biganalytics) : Use Thomas Lumley's ``biglm'' package with a ``big.matrix''

This is a wrapper to Thomas Lumley's biglm package, allowing it to be used with massive data stored in big.matrix objects.
● Data Source: CranContrib
● Keywords:
● Alias: bigglm.big.matrix, biglm.big.matrix
● 0 images