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Update README.md
add links to code of conduct and contribution guidelines
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README.md

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Please refer to the [documentation](https://acclab.github.io/DABEST-python-docs).
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## How to cite
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**Moving beyond P values: Everyday data analysis with estimation plots**
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[https://doi.org/10.1101/377978](https://doi.org/10.1101/377978)
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## Matlab version
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## Bugs
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There is also a [Matlab version](https://github.com/ACCLAB/DABEST-Matlab) of DABEST.
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Please report any bugs on the [Github issue tracker](https://github.com/ACCLAB/DABEST-python/issues/new).
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## R version
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## Contributing
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R users can install [dabestr](https://github.com/ACCLAB/dabestr).
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All contributions are welcome; please read the [Guidelines for contributing](https://github.com/ACCLAB/DABEST-python/blob/master/CONTRIBUTING.md) first.
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We also have a [Code of Conduct](https://github.com/ACCLAB/DABEST-python/blob/master/CODE_OF_CONDUCT.md) to foster an inclusive and productive space.
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## Testing
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Run `pytest` in the root directory of the source distribution. This runs the test suite in the folder `dabest/tests`. The test suite will ensure that the bootstrapping functions and the plotting functions perform as expected.
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## Bugs
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## Matlab version
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Please report any bugs on the [Github issue tracker](https://github.com/ACCLAB/DABEST-python/issues/new).
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There is also a [Matlab version](https://github.com/ACCLAB/DABEST-Matlab) of DABEST.
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## Contributing
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## R version
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R users can install [dabestr](https://github.com/ACCLAB/dabestr).
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All contributions are welcome. Please fork the [Github repo](https://github.com/ACCLAB/DABEST-python) and open a pull request.

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