externalFormats | 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.
Note that these formats do not know anything about
dimnames
, hence these are dropped by writeMM()
.
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.
https://math.nist.gov/MatrixMarket/
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")))
## https://math.nist.gov/MatrixMarket/data/Harwell-Boeing/counterx/counterx.htm
str(jgl <- readMM(system.file("external/jgl009.mtx" , package = "Matrix")))
## 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 untar step:
u. <- url("https://www.cise.ufl.edu/research/sparse/RB/Boeing/msc00726.tar.gz")
str(sm <- readHB(gzcon(u.)))
}
data(KNex, package = "Matrix")
## Store as MatrixMarket (".mtx") file, here inside temporary dir./folder:
(MMfile <- file.path(tempdir(), "mmMM.mtx"))
writeMM(KNex$mm, file=MMfile)
file.info(MMfile)[,c("size", "ctime")] # (some confirmation of the file's)
## very simple export - in triplet format - to text file:
data(CAex, package = "Matrix")
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))
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