externalFormats {Matrix} | R Documentation |
Read matrices stored in the Harwell-Boeing or MatrixMarket formats
or write sparseMatrix
objects to one of these
formats.
readHB(file) readMM(file) writeMM(obj, file, ...)
obj |
a real sparse matrix |
file |
for Alternatively, |
... |
optional additional arguments. Currently none are used in any methods. |
The readHB
and readMM
functions return an object that
inherits from the "Matrix"
class. Methods for the
writeMM
generic functions usually return
NULL
and, as a side effect, the matrix obj
is
written to file
in the MatrixMarket format (writeMM).
The Harwell-Boeing format is older and less flexible than the
MatrixMarket format. The function writeHB
was deprecated and
has now been removed. Please use writeMM
instead.
A very simple way to export small sparse matrices S
, is to use
summary(S)
which returns a data.frame
with
columns i
, j
, and possibly x
, see summary
in
sparseMatrix-class
, and an example below.
http://math.nist.gov/MatrixMarket
http://www.cise.ufl.edu/research/sparse/matrices
str(pores <- readMM(system.file("external/pores_1.mtx", package = "Matrix"))) str(utm <- readHB(system.file("external/utm300.rua", package = "Matrix"))) str(lundA <- readMM(system.file("external/lund_a.mtx", package = "Matrix"))) str(lundA <- readHB(system.file("external/lund_a.rsa", package = "Matrix"))) ## Not run: ## NOTE: The following examples take quite some time ## ---- even on a fast internet connection: if(FALSE) # the URL has been corrected, but we need an un-tar step! str(sm <- readHB(gzcon(url("http://www.cise.ufl.edu/research/sparse/RB/Boeing/msc00726.tar.gz")))) str(jgl009 <- readMM(gzcon(url("ftp://math.nist.gov/pub/MatrixMarket2/Harwell-Boeing/counterx/jgl009.mtx.gz")))) ## End(Not run) data(KNex) writeMM(KNex$mm, "mmMM.mtx") ## very simple export - in triplet format - to text file: data(CAex) s.CA <- summary(CAex) s.CA # shows (i, j, x) [columns of a data frame] message("writing to ", outf <- tempfile()) write.table(s.CA, file = outf, row.names=FALSE) ## and read it back -- showing off sparseMatrix(): str(dd <- read.table(outf, header=TRUE)) ## has columns (i, j, x) -> we can use via do.call() as arguments to sparseMatrix(): mm <- do.call(sparseMatrix, dd) stopifnot(all.equal(mm, CAex, tolerance=1e-15))