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by Joseph Rickert One of the greatest strengths of the R language is surely the base graphics capabilities. Grid graphics, lattice, ggplot2, bigvis and the many R packages that interface with javascript D3 graphics have added astounding capabilities, well beyond what can be achieved with base graphics alone. Nevertheless, the ... [Read more...]

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The last MilanoR meeting will be held on December 18, 2 [...] [Read more...]

A couple of months ago I spotted that the examples for the paste function weren’t very good, and actually, there were quite a few functions that new users of R are likely to encounter, that weren’t well explained. I’ve now managed to get some updated examples into ... [Read more...]

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In this post I’m going to describe how I pull together the visualization of The echo of a tragedy in Social Media. I used 3 different technologies to pull it together: PHP for data... [Read more...]

Don’t worry about the title of this post… I’m not going to talk about the atrocities we’ve seen in the last days in France. I’m not going to say anything about that, because almost... [Read more...]

It's been more than four years since I wrote the white paper R is Hot with the goal of introducing R to companies who need modern and flexible data analysis software. It's still the most-downloaded whitepaper on the Revolution Analytics website. But a lot has changed in the past four ... [Read more...]

Goals and Introduction Are speed cameras a tool increase safety? Or a revenue grab by local governments plugging budget deficits? With the implementation of a speed […] [Read more...]

I recently learned about the microbenchmark package while browsing through Hadley’s advanced R programming book. I’ve done some quick benchmarking using system.time() in a for loop and taking the average, but the microbenchmark function in the microbenchmark package makes this much easier. Hadley gives the example of ... [Read more...]

I’ve updated the mxmortalitydb package to include 2013 data. This data only package includes all injury intent deaths (accidents, homicides, suicides, and unspcified intent) that were registered in Mexico from 2004 to 2013. You can use the package to calculate changes and trends in homicide rates in the most violent metro areas (... [Read more...]

Dear R users, all chapters of Rabbit are now online. Ra […] [Read more...]

In December I found myself helping one of our graduate students with a data problem; for one of their thesis chapters they needed a lot of hourly climate data for a handful of stations around Saksatchewan. All of this data was and is available for download from the Government of ... [Read more...]

I recently read an article which showed how to download Option Chain data from Google Finance using R. Interestingly, that article appears to be a close adaption of another article which does the same thing using Python. While playing around with the code from these articles I noticed a couple ... [Read more...]

Welcome to the third part of series posts. In previous post, I discussed about the data points which we require to perform predictive analysis. In this post I will discuss about the solution approach along with required methodology and its implementation in R. Before we move ahead in this part, ... [Read more...]

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Last week, I wrote a blog post showing how to sessionize log data using standard SQL. The main idea of that post is that if your analytics platform supports window functions (like Postgres and Hive do), you can make quick work out of sessionizing logs. Here’s the winning query:... [Read more...]

Mango Solutions are pleased to announce the release of version 9.2 of Navigator Workbench, their leading pharmacometric model development and reporting platform.   New Features This release includes a large number of enhancements, including the following features: Support for NONMEM … Continue reading → [Read more...]

by Nick Elprin Co-Founder Domino Data Lab "R Notebooks" use the IPython Notebook UI to run R (rather than Python) in notebook cells, giving you an interactive R environment hosted on scalable servers, accessible through a web browser. This post describes how and why we built our "R Notebooks" feature. ... [Read more...]