hdf5 {hdf5} | R Documentation |
hdf5save
and hdf5load
provide an experimental interface
to the NCSA HDF5 library.
hdf5save(fileout, ...) hdf5load(file, load = TRUE, verbosity = 0, tidy = FALSE) hdf5cleanup(fid)
hdf5save(fileout, ...) hdf5load(file, load = TRUE, verbosity = 0, tidy = FALSE)
fileout |
the name of the file in which the objects will be stored. |
... |
the names of the objects to be saved. |
file |
The name of an HDF5 file to be read in. |
load |
A logical value. If |
verbosity |
An integer controlling the verbosity. With |
tidy |
A logical value. If |
hdf5save
writes a
representation of R objects to the specified file in a form which
can be read by software which understands the HDF5 format.
The objects can be read back from the file at a later
date by using the function hdf5load
.
Not all R types are supported and it probably doesn't make sense to put some of them into an HDF file (e.g. closures). However, lists, strings, vectors, matrices, and higher-dimensional arrays work. Lists map to HDF groups. Vectors and matrices map to datasets.
This capability is only available on machines which have the HDF5 library, version 1.2 or higher (freely available from the reference below).
Marcus G. Daniels mgd@swarm.org, Hugh C. Pumphrey H.C.Pumphrey@ed.ac.uk, Philippe Grosjean phgrosjean@sciviews.org
(m <- cbind(A = 1, diag(4))) ll <- list(a=1:10, b=letters[1:8]); l2 <- list(C="c", l=ll); PP <- pi hdf5save("ex1.hdf", "m","PP","ll","l2") rm(m,PP,ll,l2) # and reload them: hdf5load("ex1.hdf",verbosity=3) m # read from "ex1.hdf"; buglet: dimnames dropped str(ll) str(l2)