Hi there,
I have a Java process that writes HDF5 files with the following
approximate structure:
group "xxx" {
group "yyy" {
dataset {}
dataset {}
}
group "zzz" {
dataset {}
dataset {}
}
}
where dataset is a rank one dataspace having a compound datatype defined as:
H5T_UNIX_TIME, float, float, float, float
I have tried R packages h5r and hdf5 in an attempt to read the file
but examining the source of h5r and reading documentation for hdf5
here: http://xweb.geos.ed.ac.uk/~hcp/Rhdf5.html leads me to believe
that compound datatypes are not supported by these packages. My guess
is that mapping arbitrary type definitions in HDF5 to available types
in R might be somewhat tricky. Incidentally, h5dump has trouble
displaying the data in the dataset but I think this is to do with the
time 'field':
DATASPACE SIMPLE { ( 33 ) / ( H5S_UNLIMITED ) }
DATA {
h5dump error: unable to print data
}
Since I am new to both HDF5 and R I wonder if there are better
approaches to storing the information I have that will allow me to use
either h5r or hdf5 packages unmodified. I expect I can contribute
changes to either of the packages that will allow me to do what I
describe but fall short of general compound datatype support.
Any comments or advice gratefully received.
Regards...Jeremy
[[alternative HTML version deleted]]
______________________________________________
R-devel@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-devel
