rOpenSci Unconference

From 25-26 May, we’re having our fourth annual rOpenSci unconference https://ropensci.org/blog/blog/2017/02/02/unconf2017 in Los Angeles, CA.

If you’d like to attend, it only takes a few minutes to nominate yourself. Submissions close Wednesday, February 22, 2017 at midnight Pacific Time. Hashtag for the event is #runconf17. If you have any questions, contact us at info at ropensci org



rOpenSci Community Calls

Our 14th community call is coming up in March. The topic is How to ask questions so they get answered! Possibly by yourself!, with special guests Jenny Bryan and JD Long. Check out community call #14 for details.



Software

Releases



Onboarding

We accept community contributed packages via our onboarding system - a software review system, sorta like scholarly paper review, but way better. We’ll highlight new packages here that have come through this system. A huge thanks to our reviewers, who do a lot of work reviewing (see the blog post on our review system), and the authors of the packages!

If you want to be a reviewer we have a new form you can fill out, and we’ll ping you when there’s a submission that fits in your area of expertise.

The following package was recently submitted to our onboarding process and is undergoing review:



Use Cases

A thesis, three papers, and a book chapter use/cite rOpenSci packages:






Keep up with rOpenSci news

There are a number of ways to keep up with what rOpenSci is doing:



Footnotes

  1. Baker, M. (2017). Scientific computing: Code alert. Nature, 541(7638), 563–565. https://doi.org/10.1038/nj7638-563a 

  2. Mayor, J. R., Sanders, N. J., Classen, A. T., Bardgett, R. D., Clément, J.-C., Fajardo, A., et al. (2017). Elevation alters ecosystem properties across temperate treelines globally. Nature, 542(7639), 91–95. https://doi.org/10.1038/nature21027 

  3. Szöcs, E. (2017). Statistical eco (-toxico) logy: improving the utilisation of data for environmental risk assessment (Doctoral dissertation, Dissertation, Landau, Universität Koblenz-Landau, Campus Landau, 2017). https://portal.dnb.de/opac.htm?method=simpleSearch&cqlMode=true&query=idn%3D1124465774 

  4. Réjou-Méchain, M., Tanguy, A., Piponiot, C., Chave, J., & Hérault, B. (2017). BIOMASS: An R Package for estimating aboveground biomass and its uncertainty in tropical forests. Methods in Ecology and Evolution. https://doi.org/10.1111/2041-210x.12753 

  5. Puschmann, C., & Ausserhofer, J. (2017). Social Data APIs. http://cbpuschmann.net/pubs/social_data_apis.pdf