CODEWITHSUNDEEP
rhdf5
user174014
user174014

Reputation:

R and HDF5 Troubles

I am trying to load an hdf5 into R and running into some problems. Here are the steps I took to configure my environment:

I suspect the problem I am having relates to incompatibilities in my version of HDF5 and the one the R module expects. For completeness here is how I installed the R module:

R CMD INSTALL --configure-vars='CPPFLAGS=-I/opt/local/include' --configure-args='--with-hdf5=/opt/local' hdf5_1.6.9.tar.gz

This builds fine. The library seems to load without issue, but no data is returned when I try to load a file:

library(hdf5)

hdf5load("test.h5")

NULL

Yet,

osx:data scott$ h5dump test.h5 HDF5 "test.h5" { GROUP "/" { DATASET "dset" { DATATYPE H5T_STD_I32LE DATASPACE SIMPLE { ( 31 ) / ( 31 ) } DATA { (0): 1, 2, 4, 8, 16, 32, 64, 128, 256, 512, 1024, 2048, 4096, 8192, (14): 16384, 32768, 65536, 131072, 262144, 524288, 1048576, 2097152, (22): 4194304, 8388608, 16777216, 33554432, 67108864, 134217728, (28): 268435456, 536870912, 1073741824 } } } }

Any thoughts?

Thanks in advance.

Upvotes: 9

Views: 4293

Answers (2)

jimmyb
jimmyb

Reputation: 4387

You can also try the h5r package on CRAN. This package uses the new hdf5 libraries and provides more functionality than hdf5 library.

Upvotes: 6

rcs
rcs

Reputation: 68849

Use the verbosity argument in hdfload() and check your environment using ls(). hdfload() has a side effect, it loads the tables into the current environment, NULL is the default return value. If you use the argument load=TRUE the objects are returned as the components of a named list:

  • load: A logical value. If 'FALSE', the objects are returned as the components of a named list. If 'TRUE' (the default), the objects are loaded as individual variables with their own names - the function returns nothing in this case.

On my Mac everything works well with the same setup. 

R> rm(list=ls())
R> ls()
character(0)
R> hdf5load("TestHDF5.h5", verbosity=3)
hdf5_global_verbosity=3 load=1
Processing object: Dataset0 ...... its a dataset...Dataset has ID335544326
Dataset has tid 201326902
Dataset has space id 268435467
Dataset has rank 1
Dataset has dims/maxdims: 1 / 1 
Allocating vector with rank=1 dim=1
calling vector_io. Hangs here with big datsets
Setting buffer size in plist
About to read with bufsize = 50
in string_ref: count=1, size=25 srcbf=25
leaving string_ref
 Done read
in vector_io: permuting
in vector_io: tidying
Phew. Done it. calling iinfo->add
Rank > 1 or not VECSXP
Calling  hdf5_load_attributes 
back from  hdf5_load_attributes 
...Finished dataset 
Processing object: Table0 ...... its a dataset...Dataset has ID335544327
Dataset has tid 201326906
Dataset has space id 268435468
Dataset has rank 1
Dataset has dims/maxdims: 1 / 1 
Dataset has type = VECSXP and rank 1
Reading...
....done
in string_ref: count=1, size=25 srcbf=25
leaving string_ref
...Finished dataset 
NULL
R> ls()
[1] "Dataset0" "Table0"

Upvotes: 2

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