Thanks to Ontario Open Data, a survey dataset was recently made public containing peoples’ responses to questions about Ontario’s Long Term Energy Plan (LTEP).  The survey did fairly well in terms of raw response numbers, with 7,889 responses in total … Continue reading → [Read more...]

Today, I'm going to finally dip my toe in the water of something I've wanted to do for a long time. I'd wanted to do this with Michael Caine film appearances- and I may yet- but tonight, it'll be a bit simpler. I'm going to draw a network graph, showing ... [Read more...]

While in Warwick last week, one evening after having exhausted my laptop battery, I tried the following Sudoku (from Libération): and could not even start. As it happened, this was a setting with no deterministic move, i.e. all free/empty entries had multiple possible values. So after trying ... [Read more...]

Email In my last post, I looked at the success rates for EPSRC Fellowship applications using funnel plots. As luck would have it, Alex Hulkes and Derek Gillespie from EPSRC then got it touch to say that they had done a similar internal analysis and would I be interested in ... [Read more...]

by Joseph Rickert For a knitty gritty look at what’s new with R there is no better place to start than Dirk Eddelbuettel’s CRANberries site. Since 2007, the site has been reliably providing near real-time status on CRAN packages. Now, every two hours, CRANberries displays updated information on new ... [Read more...]

Last week I taught part of a workshop for the Minnesota Chapter of the American Fisheries Society on “Analyzing Age Data in R” (materials are here). I like doing these workshops because they give me ideas for improving the FSA … Continue reading → [Read more...]

[Read more...]

While dealing with the data analytics projects, there are some fixed tasks that should be followed to get the expected output. So here we are going to build a data analytics project cycle, which will be a set of standard data-driven processes to lead data to insights effectively. The defined ... [Read more...]

I don't know how often Michael Caine appeared in a Shakespearean work, but I'm sure that he has and I'm sure that he was excellent. A bit pressed for time today, so just a simple word cloud featuring the full text of King Lear. I found the text at a ... [Read more...]

Tomorrow at 11AM Pacific Time, Revolution Analytics' Chief Scientist Mario Inchiosa will present a live webinar on Scalable Cross-Platform R-Based Predictive Analytics. Here's the abstract: In this webinar we will take a quick tour through an end-to-end predictive analytics session. We will start by exploring our data with summaries and ... [Read more...]

If you want to learn R, or improve your current R skills, join me for two workshops that I’m offering through Revolution Analytics in January and April. If you already know another analytics package, the workshop, Intro to R for … Continue reading → [Read more...]

The Independent Factor Autoregressive Conditional Density (IFACD) model of Ghalanos, Rossi and Urga (2014) uniquely, in its class of parametric models, generates time varying higher co-moment forecasts, as a consequence of the ACD specification of the conditional density of the standardized innovations. In this short note I discuss in more detail ... [Read more...]

It was several time I was thinking about developing a web application with R and Shiny. In these days I realize my first application with Shiny. You can find it at http://spark.rstudio.com/nsturaro/pyramid0/ The idea is very simple: I plot a … Continue reading → [Read more...]

How often is someone nominated for an academy award? Who has been nominated most often? Is there a difference between leading and supporting roles? Important questions. To answer them, I'm making use of a list of academy award nominees and winners. I've obtained the data from aggdata.com which has ... [Read more...]

Creating custom CDF for Affy chips in R / Bioconductor What? For those who don't know, CDF files are chip definition format files that define which probes belong to which probesets, and are necessary to use any of the standard summarization methods such as RMA, and others. Why? Because we can, ... [Read more...]

I want to wrap this series up on the breast cancer data set and move on to other topics.  Here I will include the random forest technique and evaluate all three modeling techniques together, including the conditional inference tree and bootstrap a... [Read more...]

In case you missed them, here are some articles from October of particular interest to R users: A recap of the Strata Hadoop World conference, including presentations from Monsanto and eHarmony on their use of R. How to rank and chart the most frequent hashtags of Twitter users with R. ... [Read more...]

Measuring the Power of Product Features to Generate Increased DemandProduct management requires more from feature prioritization than a rank ordering. It is simply not enough to know the "best" feature if that best does not generate increased demand. W... [Read more...]

Writing papers using R Markdown I have been watching the activity in RStudio and knitr for a while, and have even been using Rmd (R markdown) files in my own work as a way to easily provide commentary on an actual dataset analysis. Yihui has proposed writing papers in markdown ... [Read more...]

A new Armadillo release 3.930 came out a few days ago, with a very nice set of changes (see below). I rolled this into RcppArmadillo 0.3.930.0. However, one of these changes revealed that R shipped only the standard SVD for complex-valued matrices, and not the more performant divide-and-conquer approach. So in R ... [Read more...]