getQRbyBlocks: QR by blocks

In BigDataStatMeth: Statistical Methods and Algorithms for Big Data

QR by blocks

Description

This function is an application of the BigDataStatMeth functions to generate new methods. This function perform a QR from two matrices stored in hdf5 data file. This function applies matrix partitioning, merge bloks to create a full matrix, apply a function to different blocks...

Usage

getQRbyBlocks(strdataset, file, mblocks, center, scale, bcols, overwrt)

Arguments

strdataset	string, dataset path within the hdf5 data file from which we want to calculate the QR
file	string file name where dataset to normalize is stored
mblocks	number of blocks in which we want to partition the matrix to perform the calculations
center,	boolean, if true, dataset is centered to perform calculus
scale,	boolean, if true, dataset is centered to perform calculus
bcols	boolean if bcols = TRUE matrix it´s splitted by columns if bcols = FALSE, then matrix or dataset is splitted by rows.
overwrt,	boolean, if true, datasets existing inside a file must be overwritten if we are using the same names

Value

hdf5 data file with CCA results,

Examples

   print ("Example in vignette")

BigDataStatMeth documentation built on March 30, 2022, 1:07 a.m.