5 Things I Learned Making a Package to Work with Hydrometric Data in R

  Sam Albers   | JANUARY 16, 2018

One of the best things about learning R is that no matter your skill level, there is always someone who can benefit from your experience. Topics in R ranging from complicated machine learning approaches to calculating a mean all find their relevant audiences. This is particularly true when writing R packages. With an ever evolving R package development landscape (R, GitHub, external data, CRAN, continuous integration, users), there is a strong possibility that you will be taken into regions of the R world that you never knew existed.

Announcing a New rOpenSci Software Review Collaboration

  MaĆ«lle Salmon   |   Noam Ross   |   Scott Chamberlain   |   Karthik Ram   | NOVEMBER 29, 2017

rOpenSci is pleased to announce a new collaboration with the Methods in Ecology and Evolution (MEE), a journal of the British Ecological Society, published by Wiley press 1. Publications destined for MEE that include the development of a scientific R package will now have the option of a joint review process whereby the R package is reviewed by rOpenSci, followed by fast-tracked review of the manuscript by MEE. Authors opting for this process will be recognized via a mark on both web and print versions of their paper.

ochRe - Australia themed colour palettes

  Holly Kirk   |   Di Cook   |   Alicia Allan   |   Ross Gayler   |   Roger Peng   |   Elle Saber   | NOVEMBER 21, 2017

The second rOpenSci OzUnConf was held in Melbourne Australia a few weeks ago. A diverse range of scientists, developers and general good-eggs came together to make some R-magic happen and also learn a lot along the way. Before the conference began, a huge stack of projects were suggested on the unconf GitHub repo. For six data-visualisation enthusiasts, one issue in particular caught their eye, and the ochRe package was born.

Data from Public Bicycle Hire Systems

  Mark Padgham   | OCTOBER 17, 2017

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.

googleLanguageR - Analysing language through the Google Cloud Machine Learning APIs

  Mark Edmondson   | OCTOBER 3, 2017

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.

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