Software

New packages

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

Two blog posts and many new (and some old) papers cite rOpenSci packages:






Keep up with rOpenSci news

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



Footnotes

  1. Nishida, Kan. 2017. Making Maps for Canada’s Provisions and Census Divisions in R. https://blog.exploratory.io/making-maps-for-canadas-provisions-and-census-divisions-in-r-c189b88ccd8a#.gzi5khrh6 ↩

  2. Sonkkila, Tuja. 2017. Semi-automatic IT at work. https://blogs.aalto.fi/suoritin/2017/01/02/impact/ ↩

  3. Gilles, D., Zaiss, R., Blach-Overgaard, A., Catarino, L., Damen, T., Deblauwe, V., et al. (2016). RAINBIO: a mega-database of tropical African vascular plants distributions. PhytoKeys, 74, 1–18. https://doi.org/10.3897/phytokeys.74.9723 ↩

  4. Lundgren, M. R., & Christin, P.-A. (2016). Despite phylogenetic effects, C3-C4 lineages bridge the ecological gap to C4 photosynthesis. Journal of Experimental Botany, erw451. https://doi.org/10.1093/jxb/erw451 ↩

  5. Galata, V., Backes, C., Laczny, C. C., Hemmrich-Stanisak, G., Li, H., Smoot, L., et al. (2016). Comparing genome versus proteome-based identification of clinical bacterial isolates. Briefings in Bioinformatics, bbw122. https://doi.org/10.1093/bib/bbw122 ↩

  6. Hassall, C., Owen, J., & Gilbert, F. (2016). Phenological shifts in hoverflies (Diptera: Syrphidae): linking measurement and mechanism. Ecography. https://doi.org/10.1111/ecog.02623 ↩

  7. Hampton, S. E., Anderson, S. S., Bagby, S. C., Gries, C., Han, X., Hart, E. M., et al. (2015). The Tao of open science for ecology. Ecosphere, 6(7), art120. https://doi.org/10.1890/es14-00402.1 ↩

  8. Nguyen, N. T., Zhang, X., Wu, C., Lange, R. A., Chilton, R. J., Lindsey, M. L., & Jin, Y.-F. (2014). Integrative Computational and Experimental Approaches to Establish a Post-Myocardial Infarction Knowledge Map. PLoS Computational Biology, 10(3), e1003472. https://doi.org/10.1371/journal.pcbi.1003472 ↩

  9. Killen, S. S., Norin, T., & Halsey, L. G. (2016). Do method and species lifestyle affect measures of maximum metabolic rate in fishes? Journal of Fish Biology. https://doi.org/10.1111/jfb.13195 ↩

  10. Estrada-Peña, A., & de la Fuente, J. (2016). Species interactions in occurrence data for a community of tick-transmitted pathogens. Scientific Data, 3, 160056. https://doi.org/10.1038/sdata.2016.56 ↩

  11. Bauer, P. C., Barbera, P., & Munzert, S. (2016). The Quality of Citations: Towards Quantifying Qualitative Impact in Social Science Research. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2874549 ↩

  12. Mackinnon, M. J., Ndila, C., Uyoga, S., Macharia, A., Snow, R. W., Band, G., et al. (2016). Environmental Correlation Analysis for Genes Associated with Protection against Malaria. Molecular Biology and Evolution, 33(5), 1188–1204. https://doi.org/10.1093/molbev/msw004 ↩

  13. Söderholm, S. (2016). The Complex Genetics of Multiple Sclerosis: A preliminary study of MS-associated SNPs prior to a larger genotyping project. http://www.diva-portal.org/smash/record.jsf?pid=diva2%3A939390&dswid=-3564 ↩

  14. Kolb, J.-P. (2016). Visualizing GeoData with R. Austrian Journal of Statistics, 45(1), 45. https://doi.org/10.17713/ajs.v45i1.88 ↩