A new version of the RcppCNPy package arrived on CRAN a few days ago. RcppCNPy provides R with read and write access to NumPy files thanks to the cnpy library by Carl Rogers. This new release reflects all the suggestions and comments I received durin... [Read more...]

I have posted a new R data animation video. It’s an example animation of modeled historical and projected global temperature change from 1850 - 2100. The data prep, analysis, full processing and generation of all sets of still frames for each layer in the video are done using R. Typically an ... [Read more...]

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I am pleased to announce the release of curry - a small package I’ve developed as part of improving my meta-programming skills. curry is yet another attempt at providing a native currying/partial application mechanism in R. Other examples of imple... [Read more...]

R for beginners:  Using R Commander in introductory statistics courses A tutorial by D. M. Wiig As with previous tutorials in this series this document is an embedded Word documents.  To view the document full screen click on the icon in the lower r... [Read more...]

In Joseph Sirosh's keynote presentation at the Data Science Summit on Monday, Wee Hyong Took demonstrated using R in SQL Server 2016 to detect fraud in real-time credit card transactions at a rate of 1 million transactions per second. The demo (which starts at the 17:00 minute mark) used a gradient-boosted tree model ... [Read more...]

The Simpsons needs no introduction. At 27 seasons and counting, it’s the longest-running scripted series in the history of American primetime television. The show’s longevity, and the fact that it’s animated, provides a vast and relatively unchanging universe of characters to study. It’s easier for an animated ... [Read more...]

Organize your data manipulation tasks in a standard way, write clean and efficient code, and build reproducible data management processes, using the most modern R tools: tidyr, dplyr and lubridate. The post Efficient Data Manipulation with R Course | Milan appeared first on MilanoR. [Read more...]

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Earlier this week, I published a post about song lyrics and how different U.S. states are mentioned at different rates, and at different rates relative to their populations. That was a very fun post to work on, but you can tell from that paragraph near the end that I ... [Read more...]

Warsaw R and Data Analytics Enthusiast group is an effort that aims at integrating users of the R language in Warsaw, Poland. Our group has over 970 members at its meetup page. In this post I provide a summary of our group, our last 2 meetups before t... [Read more...]

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This blog hands you the R code needed to create a choropleth heatmap on top of a Google Maps plot of Amsterdam. With this plot you can easily compare the conversion rates of each of the neighbourhoods (postal code areas) of Amsterdam. [Read more...]

At the 2016 EARL London conference senior data-visualisation journalist John Burn-Murdoch, described how the Financial Times uses R to produce high-quality, striking data visualisations. Until recently, charts were the realm of an information designer using tools like Adobe Illustrator: the output was beautiful, but the process was a long and winding ... [Read more...]

We are thrilled to announce our first batch of speakers for EARL Boston in November 2016. Keynotes Jenny Bryan and Ricardo Bion Jenny is the Associate Professor of Statistics at the University of British Columbia and part of the leadership … Continue reading → [Read more...]

This year’s conference was a great opportunity to catch up with friends and meet new people who are eager to talk about their work with R. We enjoyed the sessions we attended and thought that the presenters were entertaining as … Continue reading → [Read more...]

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sjmisc-package: Working with labelled data A major update of my sjmisc-package was just released an CRAN. A major change (see changelog for all changes )is the support of the latest release from the haven-package, a package to import and export SPSS, SAS or Stata files. The sjmisc-package mainly addresses three ... [Read more...]

Data manipulation works like a charm in R when using a library like dplyr. An often overlooked feature of this library is called Standard Evaluation (SE) which is also described in the vignette about the related Non-standard Evaluation. It basically al... [Read more...]