List the objects within the file to find the data group you want to read: h5ls("path/to/file.h5") Read the HDF5 data: mydata <- h5read("path/to/file.h5", "/mygroup/mydata") And inspect the structure: str(mydata) (Note that multidimensional arrays may appear transposed). Also you can read groups, which will be named lists in R.
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Index of /CRAN/bin/windows/contrib/3.4 Name Last modified Size Description. Parent Directory - zyp_0.10-1.1.zip 26-Apr-2019 20:04 28K ztype_0.1.0.zip 26-Apr-2019 20 ...
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Index of /CRAN/bin/windows/contrib/r-release Name Last modified Size. Parent Directory - stats/ 2020-09-04 23:57 - check/ 2020-09-05 00:57 - corrcoverage_1.1.0.zip ...
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However comprehensive evaluations of these methods are lacking to provide practical guidelines. hdf5r Interface to the 39 HDF5 39 Binary Data Format 39 HDF5 39 is a data model library and file format for storing and managing large amounts of data. n scanpy. View the Project on GitHub hbc knowledgebase. 3.
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This package provides an interface between HDF5 and R. HDF5's main features are the ability to store and access very large and/or complex datasets and a wide variety of metadata on mass storage (disk) through a completely portable file format. The rhdf5 package is thus suited for the exchange of large and/or complex datasets between R and other software package, and for letting R applications ...