Release mongolite 1.0

March 10, 2017

By:   Jeroen Ooms

After 2.5 years of development, version 1.0 of the mongolite package has been released to CRAN. The package is now stable, well documented, and will soon be submitted for peer review to be onboarded in the rOpenSci suite. MongoDB in R and mongolite I started working on mongolite in September 2014, and it was first announced at the rOpenSci unconf 2015. At this time, there were already two Mongo clients on CRAN: rmongodb (no longer works) and RMongo (depends on Java).

Discover hydrological data using the hddtools R package

March 7, 2017

By:   Claudia Vitolo

I’ve worked for over 12 years in hydrology and natural hazard modelling and one of the things that still fascinates me is the variety of factors that come into play in trying to predict phenomena such as river floods. From local observations of meteorological and hydrological variables and their spatio-temporal patterns to the type and condition of soils and vegetation/land use as well as the geometry and state of river channels and engineering structures affecting the flow.

ropenaq, a breath of fresh air/R

February 21, 2017

By:   Maëlle Salmon

Do you fancy open data, R, and breathing? Then you might be interested in ropenaq which provides access to open air quality data via OpenAQ! Also note that in French, R and air are homophones, therefore we French speakers can make puns like the one in the title. Please re-read it with a French accent and don’t judge me. In this post I’ll motivate the existence of the package, then show you the basics of its use, and finally show off with some pretty figures.

Community Call v13 - How to ask questions so they get answered! Possibly by yourself!

February 17, 2017

By:   Stefanie Butland

Our Community Call on Tuesday, March 7th, 8-9 AM PST, will cover “How to ask questions so they get answered! Possibly by yourself!". Asking questions about programming is a skill you can develop - we’re not just born with it. The speakers will cover some of the background and skills you’ll need to increase your chances of having your questions answered by your peers or by a busy expert. Join the Call

From a million nested `ifelse`s to the plater package

February 6, 2017

By:   Sean Hughes

As a lab scientist, I do almost all of my experiments in microtiter plates. These tools are an efficient means of organizing many parallel experimental conditions. It’s not always easy, however, to translate between the physical plate and a useful data structure for analysis. My first attempts to solve this problem–nesting one ifelse call inside of the next to describe which well was which–were very unsatisfying. Over time, my attempts at solving the problem grew more sophisticated, and eventually, the plater package was born.

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