Theme song: PSA by Jay-Z We announced the testing version of skimr v2 onJune 19, 2018. After more than ayear of (admittedly intermittent) work, we’re thrilled to be able to say thatthe package is ready to go to CRAN. So, what happened over the last year? Andwhy are we so excited for v2?Wait, what is a “skimr”? skimr is an R package for summarizing your data.

In early September, the version 2.0.0 of rmangal was approved byrOpenSci, four weeks later it made it to CRAN.

We want to know how you use rOpenSci packages and resources so we can give them, their developers, and your examples more visibility. It’s valuable to both users and developers of a package to see how it has been used “in the wild”. This goes a long way to encouraging people to keep up development knowing there are others who appreciate and build on their work.

Image processing is one of the core focus areas of rOpenSci.

The UCSC Xena platform provides an unprecedented resource for public omics data from big projects like The Cancer Genome Atlas (TCGA), however, it is hardfor users to incorporate multiple datasets or data types, integrate the selected data withpopular analysis tools or homebrewed code, and reproduce analysis procedures.

As part of our continuous effort to improve rOpenSci infrastructure, we are rolling out a new service to automatically build and host documentation for all rOpenSci packages.

We’ve been following rOpenSci’s work for a long time, and we use several packages on a daily basis for our scientific projects, especially taxize to clean species names, rredlist to extract species IUCN statuses or [treeio](many probs with this post) to work with phylogenetic trees.rOpensci is a perfect incarnation of a vibrant and diverse community where people learn and develop new ideas, especially regarding scientific packages.We’ve also

Introduction ramlegacy is a new R package to download, cache and read in all the different versions of the RAM Legacy Stock Assessment Database, a public database containing stock assessment results of commercially exploited marine populations from around the world.

NASA generates and provides heaps of data to the scientific community. Not allof it is looking out at the stars. Some of it is looking back at us here onEarth. NASA’s Earth science program observes, understands and models theEarth system ¹ . We can use these data to discover how our Earth is changing,to better predict change, and to understand the consequences for life on Earth.

rOpenSci is one of the first organizations in the R community I ever interacted with, when I participated in the 2016 rOpenSci unconf. I have since reviewed several rOpenSci packages and been so happy to be connected to this community, but I have never submitted or maintained a package myself. All that changed when I heard the call for a new maintainer for the qualtRics package. “IT’S GO TIME,” I thought.