bigalgebra-package {bigalgebra} | R Documentation |

## Arithmetic routines for native R matrices and big.matrix objects.

### Description

This package provides arithmetic functions for native **R** matrices and
`big.matrix`

objects.

### Details

This package provides arithmetic functions for native **R** matrices and
`big.matrix`

objects.

The package defines a number of
global options that begin with `bigalgebra`

.
They include:

Option | Default value |

`bigalgebra.temp_pattern` | "matrix_" |

`bigalgebra.tempdir` | `tempdir` |

`bigalgebra.mixed_arithmetic_returns_R_matrix` | TRUE |

`bigalgebra.DEBUG` | FALSE |

The `bigalgebra.tempdir`

option must be a function that returns
a temporary directory path used to big matrix results of BLAS and
LAPACK operations. The deault value is simply the default R `tempdir`

function.

The `bigalgebra.temp_pattern`

is a name prefix for file names of generated
big matrix objects output as a result of BLAS and LAPACK operations.

The `bigalgebra.mixed_arithmetic_returns_R_matrix`

option determines
whether arithmetic operations involving an R matrix or vector and a big.matrix
matrix or vector return a big matrix (when the option is `FALSE`

), or
return a normal R matrix (`TRUE`

).

The package is built, by default, with **R**'s native BLAS libraries, which use
32-bit signed integer indexing. The default build is limited to vectors of at
most 2**31 - 1 entries and matrices with at most 2**31 - 1 rows and 2**31 - 1
columns (note that standard R matrices are limtied to 2**31 - 1 total entries).

The package includes a reference BLAS implementation that supports 64-bit integer indexing, relaxing the limitation on vector lengths and matrix row and column limits. Installation of this package with the 64-bit reference BLAS implementation may be performed from the command-line install:

`REFBLAS=1 R CMD INSTALL bigalgebra`

where "`bigalgebra`

" is the source package (for example,
`bigalgebra_0.8.4.tar.gz`

).

The package may also be build with user-supplied external BLAS and LAPACK libraries, in either 32- or 64-bit varieties. This is an advanced topic that requires additional Makevars modification, and may include adjustment of the low-level calling syntax depending on the library used.

Feel free to contact us for help installing and running the package.

### Author(s)

Frédéric Bertrand, Michael J. Kane, Bryan Lewis, John W. Emerson

Maintainer: Frédéric Bertrand <frederic.bertrand@utt.fr>

### References

https://www.netlib.org/lapack/

### See Also

### Examples

```
# Testing the development of the user-friendly operators:
# if you have any problems, please email us! - Jay & Mike 4/29/2010
library("bigmemory")
A <- big.matrix(5,4, type="double", init=0,
dimnames=list(NULL, c("alpha", "beta")))
B <- big.matrix(4,4, type="double", init=0,
dimnames=list(NULL, c("alpha", "beta")))
C <- A
D <- A[]
print(C - D) # Compare the results (subtraction of an R matrix from a
# big.matrix)
# The next example illustrates mixing R and big.matrix objects. It returns by
# default (see # options("bigalgebra.mixed_arithmetic_returns_R_matrix")
D <- matrix(rnorm(16),4)
E <- A
```

*bigalgebra*version 1.1.1 Index]