# rhdf5

This R/Bioconductor 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 work on datasets that are larger than the available RAM.

## Current Status

| GitHub Actions | Bioconductor Build Sysytem | Test Coverage |
| ------------- |-------------| ----- |
| [![Package Checks](https://github.com/grimbough/rhdf5/actions/workflows/main.yml/badge.svg)](https://github.com/grimbough/rhdf5/actions/workflows/main.yml) | [![BioC Status](https://bioconductor.org/shields/build/devel/bioc/rhdf5.svg)](http://bioconductor.org/checkResults/devel/bioc-LATEST/rhdf5/) | [![Codecov](http://img.shields.io/codecov/c/github/grimbough/rhdf5.svg)](https://codecov.io/gh/grimbough/rhdf5) |

## Contact

For bug reports, please register an [issue](https://github.com/grimbough/rhdf5/issues) here on Github. For usage queries please post a question on the [Bioconductor Support Forum](https://support.bioconductor.org/p/new/post/?tag_val=rhdf5).

## Funding

Funding for continued development and maintenance of this package has been provided by the German Network for Bioinformatics Infrastructure & the Chan Zuckerberg Initiative.

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