All posts (Page 88 of 121)
A new rOpenSci package provides access to data to which users may already have directly contributed, and for which contribution is fun, keeps you fit, and helps make the world a better place. The data come from using public bicycle hire schemes, and the package is called bikedata. Public bicycle hire systems operate in many cities throughout the world, and most systems collect (generally anonymous) data, minimally consisting of the times and locations at which every single bicycle trip starts and ends. The bikedata package provides access to data from all cities which openly publish these data, currently including London, U.K., and in the U.S.A., New York, Los Angeles, Philadelphia, Chicago, Boston, and Washington DC. The package will expand as more cities openly publish their data (with the newly enormously expanded San Francisco system next on the list)....
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<em>David Smith is a Blogger and Community Lead at Microsoft. I had the chance to interview David last May at rOpenSci unconf17. We spoke about his career, the process of working remote within a team, community development/outreach and his personal methods for discovering great content to share and write about.</em>
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KO: What is your name, job title, and how long have you been using R?
...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.
Working together to push science forward
Happy rOpenSci users can be found at
