import: Read External Matrix Formats
In spam: SPArse Matrix

import

R Documentation

Read External Matrix Formats

Description

Read matrices stored in the Harwell-Boeing or MatrixMarket formats.

Usage

read.HB(file)
read.MM(file)

Arguments

file

the name of the file to read, as a character scalar.

Alternatively, read.HB and read.MM accept connection objects.

Details

The names of files storing matrices in the Harwell-Boeing format usually end in ".rua" or ".rsa". Those storing matrices in the MatrixMarket format usually end in ".mtx".

Currently, only real assembled Harwell-Boeing can be read with read.HB. Reading MatrixMarket formats is more flexible. However, as entries of spam matrices are of mode double, integers matrices are coerced to doubles, patterns lead to matrices containing ones and complex are coerced to the real part thereof. In these aforementioned cases, a warning is issued.

MatrixMarket also defines an array format, in which case a (possibly) dense spam object is return (retaining only elements which are larger than options('spam.eps'). A warning is issued.

Value

A sparse matrix of class spam.

Note

The functions are based on readHB and readMM from the library Matrix to build the connection and read the raw data. At present, read.MM is more flexible than readMM.

Author(s)

Reinhard Furrer based on Matrix functions by Douglas Bates bates@stat.wisc.edu and Martin Maechler maechler@stat.math.ethz.ch

References

https://math.nist.gov/MatrixMarket/

https://sparse.tamu.edu/

Examples


## Not run: 
image(read.MM(gzcon(url(
  "ftp://math.nist.gov/pub/MatrixMarket2/Harwell-Boeing/bcspwr/bcspwr01.mtx.gz"))))

## End(Not run)

## Not run: 
## Datasets supplied within Matrix
str(read.MM(system.file("external/pores_1.mtx",package = "Matrix")))
str(read.HB(system.file("external/utm300.rua", package = "Matrix")))
str(read.MM(system.file("external/lund_a.mtx", package = "Matrix")))
str(read.HB(system.file("external/lund_a.rsa", package = "Matrix")))

## End(Not run)

spam documentation built on Oct. 23, 2023, 5:07 p.m.