Working together to push science forward
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🔗 What is rrricanes 🔗 Why Write rrricanes? There is a tremendous amount of weather data available on the internet. Much of it is in raw format and not very easy to obtain. Hurricane data is no different. When one thinks of this data they may be inclined to think it is a bunch of map coordinates with some wind values and not much else. A deeper look will reveal structural and forecast data....
🔗 Why care about patents? 1. Patents play a critical role in incentivizing innovation, without which we wouldn’t have much of the technology we rely on everyday What does your iPhone, Google’s PageRank algorithm, and a butter substitute called Smart Balance all have in common? …They all probably wouldn’t be here if not for patents. A patent provides its owner with the ability to make money off of something that they invented, without having to worry about someone else copying their technology....
The R package ecosystem now contains more than 10K packages, and several flagship packages belong under the rOpenSci suite. Some of these are: magick for image manipulation, plotly for interactive plots, and git2r for interacting with git. rOpenSci is a community of people making software to facilitate open and reproducible science/research. While the rOpenSci team continues to develop and maintain core infrastructure packages, an increasing number of packages in our suite are contributed by members of the extended R community....
It all started January 26th this year when I signed up to volunteer as a reviewer for R packages submitted to rOpenSci. My main motivation for wanting to volunteer was to learn something new and to contribute to the R open source community. If you are wondering why the people behind rOpenSci are doing this, you can read How rOpenSci uses Code Review to Promote Reproducible Science. Three months later I was contacted by Maëlle Salmon asking whether I was interested in reviewing the R package patentsview for rOpenSci....
We have started working on a new rOpenSci package called writexl. This package wraps the very powerful libxlsxwriter library which allows for exporting data to Microsoft Excel format. The major benefit of writexl over other packages is that it is completely written in C and has absolutely zero dependencies. No Java, Perl or Rtools are required. 🔗 Getting Started The write_xlsx function writes a data frame to an xlsx file....
Happy rOpenSci users can be found at