All posts (Page 94 of 121)
Like every R user who uses summary statistics (so, everyone), our team has to rely on some combination of summary functions beyond summary() and str(). But we found them all lacking in some way because they can be generic, they don’t always provide easy-to-operate-on data structures, and they are not pipeable. What we wanted was a frictionless approach for quickly skimming useful and tidy summary statistics as part of a pipeline. And so at rOpenSci #unconf17, we developed skimr....
rOpenSci’s mission is to promote a culture of open, transparent, and reproducible research across various research domains. Everything we do, from developing high-quality open-source software for data science and, software review, to building community through events like our community calls and annual unconference are all geared toward lowering barriers to reproducible, open science.
The rOpenSci Fellowship presents a unique opportunity for researchers who are engaged in open source to have a bigger voice in their communities. These fellowships are designed to support individual researchers and collaborative efforts to help them do better science, build community around projects or best practices, or develop some tools as part of ongoing research that could impact one or more research domains. Two areas that are of particular interest to us are:
...We, Alicia Schep and Miles
McBain, drove the webrockets project
at #runconf17.
To make progress we solicited code, advice, and entertaining anecdotes
from a host of other attendees, whom we humbly thank for helping to make
our project possible.
This post is divided into two sections: First up we’ll relate our
experiences, prompted by some questions we wrote for
one another. Second, we’ll put the webrockets
package into context and walk you
through a fun example where you can live plot streaming sensor data from
a mobile device.
We are pleased to welcome our Postdoctoral Fellow, Dr. Dan Sholler. Dan is an expert in qualitative research (yes, you read that correctly) and studies digital infrastructure creation, growth, and maintenance efforts. Through this research interest, he was drawn to the open science community and its ongoing development of tools and communities to support sustainable, reproducible, high-quality research. With rOpenSci, he intends to investigate what drives scientists to engage with or resist open science tools and communities....
Before everybody made their way to the unconf via LAX and Lyft, attendees discussed potential project ideas online. The packagemetrics package was our answer to two related issues.
The first proposal centered on creating and formatting tables in a reproducible workflow. After many different package suggestions started pouring in, we were left with a classic R user conundrum: “Which package do I choose?”
With over 10,000 packages on CRAN - and thousands more on GitHub and Bioconductor - a useR needs a way to navigate this wealth of options. There are many existing tools to categorize and facilitate searching of R packages such as CRAN TaskViews, RSeek, Rdocumentation, Crantastic!, METACRAN and CRANberries. GitHub also provides lots of great metrics for individual packages developed there.
...
