Introduction Few months ago, I embarked on a full stack spatial data project at work. The project kicked off amazingly, until I was almost backed to the wall when I discovered that some of the data sources were served via a GraphQL API. Before now, I haven’t worked with GraphQL. But, I have heard a lot about it and how amazing it is for querying data.

With this blog post, I show how to use the mcbette R packagein an informal way.A more formal introduction on mcbettecan be found in the Journal of Open Source Science ¹ .After introducing a concrete problem, I will show how mcbettecan be used to solve it. After discussing mcbette, I will conclude withwhy I think rOpenSci is important and how enjoyablemy experiences have been so far.The problem Imagine you are a field biologist.

At rOpenSci, we encourage R package developers to take advantage of Continuous Integration services to automatically check the package on different platforms, with different versions of R. The rOpenSci dev guide dedicates chapter 2 to the topic of Continuous Integration Best Practices , and recommends a few common CI vendors, including Travis CI. Travis CI has been a pioneer in free public CI services, and made the concept popular in the

fulltext is a package I maintain for text-mining the scholarly literature (package docs). You can search for articles, fetch article metadata and abstracts, and fetch full text of some articles. Text-mining the scholarly literature is a research tool used across disciplines. Full text of articles (entire article, not just the abstract) is the gold standard in text-mining in most cases.

Emerging viruses might be on everyone’s mind right now, but as an epidemiologist and disease ecologist I’ve always been interested in how and why pathogens move from animal hosts to humans.The current pandemic of the disease we call COVID-19 is caused by Severe acute respiratory syndrome (SARS) coronavirus 2 (SARS-CoV-2), a virus that has emerged from wildlife like SARS coronavirus and Middle East respiratory syndrome (MERS) coronavirus

Background & motivation medRxiv, as the preprint repository for papers in the medical, clinical, and related health sciences, ¹ has become a central source of new studies related to the COVID-19 pandemic.

mapscanner It is sometimes easy in the midst of the cutting-edge world of uniquesoftware development that is rOpenSci to forget that even though oursoftware might be freely available from anywhere in the world, access toadequate hardware is often restricted.

The data.table package enables high-performance extended functionality for data tables in R. treedata.table is a wrapperfor data.table for phylogenetic analyses that matches a phylogeny to the data.table, and preserves matching during data.table operations.Using the data.table package greatly increases analysis reproducibility and the efficiency of data manipulation operations over other ways of performing similar tasks inbase R, enabling

This post describes a few different aspects behind the scenes of the development of dittodb which recently went through the rOpenSci peer review process and was released to CRAN on 24 July 2020.This isn’t an introduction to the package itself (that’s available on dittodb’s site), but rather a look behind the scenes of the conceiving of the idea, the inspiration for, some of the development of, and history behind dittodb.The idea The idea for

In March we held a Community Call discussing the maintenance of R packages.This call included a starting presentation by Julia Silge followed by a discussion featuring panelists with a wide variety of backgrounds: Elin Waring, Erin Grand, Leonardo Collado-Torres and Scott Chamberlain.