bdblockmult_sparse_hdf5: Block matrix multiplication

In BigDataStatMeth: Statistical Methods and Algorithms for Big Data

Block matrix multiplication

Description

This function performs a block matrix-matrix multiplication with numeric matrix

Usage

bdblockmult_sparse_hdf5(filename, group, A, B, outgroup = NULL)

Arguments

filename	string file name where dataset to normalize is stored
group	string Matrix
A,	string with dataset name where matrix is stored
B,	string with dataset name where matrix is stored
outgroup	string with de group name under the matrix will be stored

Value

list with filename and the group and dataset name under the results are stored

Examples

library(Matrix)
library(BigDataStatMeth)

k <- 1e3
set.seed(1)
x_sparse <- sparseMatrix(
    i = sample(x = k, size = k),
    j = sample(x = k, size = k),
    x = rnorm(n = k)
)
set.seed(2)
y_sparse <- sparseMatrix(
    i = sample(x = k, size = k),
    j = sample(x = k, size = k),
    x = rnorm(n = k)
)

if( isTRUE(file.exists('BasicMatVect.hdf5'))) {
     file.remove('BasicMatVect.hdf5')
}
bdCreate_hdf5_matrix_file("BasicMatVect.hdf5", as.matrix(x_sparse), "SPARSE", "x_sparse")
bdAdd_hdf5_matrix(as.matrix(y_sparse), "BasicMatVect.hdf5", "SPARSE", "y_sparse")

d <- bdblockmult_sparse_hdf5("BasicMatVect.hdf5", "SPARSE", "x_sparse", "y_sparse")

# Remove file (used as example)
if (file.exists("BasicMatVect.hdf5")) {
  # Delete file if it exist
  file.remove("BasicMatVect.hdf5")
}

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