All posts (Page 65 of 121)
The ssh package provides a native ssh client for R. You can connect to a remote server over SSH to transfer files via SCP, setup a secure tunnel, or run a command or script on the host while streaming stdout and stderr directly to the client. The intro vignette provides a brief introduction.
This week version 0.4 has been released, so you can install it directly from CRAN:
install.packages("ssh")
The NEWS file shows that this is mostly a bugfix release:
...We tend to know a good open source research software project when we see it: The code is well-documented, users contribute back to the project, the software is licensed and citable, and the community interacts and co-produces in a healthy, productive fashion. The academic literature 1 and community discourse 2 around research software development offer insight into how to promote the technical best-practices needed to produce some of these project attributes; however, the management of non-technical, social components of software projects are less visible and therefore less often discussed in best-practice pieces. In a recent community call, I discussed some of these components through the lens of my research on open source research software project governance....
This week version 2.0 of the V8 package has been released to CRAN. Go get it now!
install.packages("V8")
The V8 package provides an embedded JavaScript engine that can be used inside of R. You can use it interactively as a JavaScript console, but it is mostly useful for wrapping JavaScript libraries in R packages. Some cool examples include jsonld, jsonvalidate, and daff.
This major and much anticipated upgrade brings a new version of the JavaScript engine, effectively upgrading the JavaScript language. This opens up a lot of new possibilities, but it can also introduce some subtle behavioral changes, so read on carefully.
...rOpenSci’s suite of packages is comprised of contributions from staff engineers and the wider R community, bringing considerable diversity of skills, expertise and experience to bear on the suite. How do we ensure that every package is held to a high standard? That’s where our software review system comes into play: packages contributed by the community undergo a transparent, constructive, non adversarial and open review process. For that process relying mostly on volunteer work, associate editors manage the incoming flow and ensure progress of submissions; authors create, submit and improve their package; reviewers, two per submission, examine the software code and user experience....
We are pleased to welcome Brooke Anderson and Melina Vidoni to our team of Associate Editors for rOpenSci Software Peer Review. They join Scott Chamberlain, Anna Krystalli, Lincoln Mullen, Karthik Ram, Noam Ross and Maëlle Salmon. With the addition of Brooke and Melina, our editorial board now includes four women and four men, located in North America, South America and Europe.
Our open Software Peer Review system for community-contributed R tools is a key component of our mission to create technical infrastructure that lowers barriers to working with data sources on the web. Editors manage the review process, performing initial package checks, identifying reviewers, and moderating the process until the package is accepted by reviewers and transferred to rOpenSci. The number of packages submitted for review has increased every year, resulting in an increased workload for Editors and the need to expand the team.
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