All posts (Page 91 of 123)
This week we released version 3.0 of the curl R package to CRAN. You may have never used this package directly, but curl provides the foundation for most HTTP infrastructure in R, including httr, rvest, and all packages that build on it. If R packages need to go online, chances are traffic is going via curl.
This release introduces an important change for Windows users: we are switching from OpenSSL to Secure Channel on Windows 7 / 2008-R2 and up. Let me explain this in a bit more detail.
...A growing community of scientists from a variety of disciplines is moving the norms of scientific research toward open practices. Supporters of open science hope to increase the quality and efficiency of research by enabling the widespread sharing of datasets, research software source code, publications, and other processes and products of research. The speed at which the open science community seems to be growing mirrors the rapid development of technological capabilities, including robust open source scientific software, new services for data sharing and publication, and novel data science techniques for working with massive datasets. Organizations like rOpenSci harness such capabilities and deploy various combinations of these research tools, or what I refer to here as open science infrastructures, to facilitate open science....
One of the greatest assets human beings possess is the power of speech and language, from which almost all our other accomplishments flow. To be able to analyse communication offers us a chance to gain a greater understanding of one another.
To help you with this, googleLanguageR is an R package that allows you to perform speech-to-text transcription, neural net translation and natural language processing via the Google Cloud machine learning services.
One of rOpenSci’s aims is to build capacity of software users and developers and foster a sense of pride in their work. What better way to do that than to encourage you to participate in Hacktoberfest, a month-long celebration of open source software!
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It doesn’t take much to get involved
Beginners to experts. Contributors and package maintainers welcome. You can get involved by applying the label Hacktoberfest to issues in your rOpenSci repo (or any project) that are ready for contributors to work on. You can find already-labelled rOpenSci and ropenscilabs issues here. A contribution can be anything - fixing typos, improving documentation, writing tests, fixing bugs, or creating new features. Who better to improve a vignette than the person who’s using the package?!
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What is rrricanes
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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. An even deeper look will find millions of data points from hurricane reconnaissance, computer forecast models, ship and buoy observations, satellite and radar imagery, …
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