I'm reviewing Bayes' theorem and related topics for the upcoming GDAT class. In its simplest form, Bayes' theorem is statement about conditional probabilities. The probability of A, given that B has occurred, is expressed as: \begin{equation} \Pr(A|B) = \dfrac{\Pr(B|A)\times\Pr(A)}{\Pr(B)} \label{... [Read more...]

An attractive feature of the package is the namespace.  The R language cannot write a function that has a limited scope.  But converting the same script to a package brings … Continue reading → [Read more...]

Two months to the day after the previous 0.3.0 release of RProtoBuf, we are happy to announce a maintenance release 0.3.1 which has now arrived on CRAN. RProtoBuf provides GNU R bindings for the Google Protobuf data encoding library used and release... [Read more...]

In the third part of “how to quickly visualize networks directly from R” series, I’ll write about the hive plots and “HiveR” package. The concept of hive plots is fundamentally different from the Cytoscape and Gephi plots. Cytoscape and Gephi … Continue reading → [Read more...]

The 2011 Census Open Atlas project has been put on hold recently as various other research projects have intervened - more on these soon. However, over the summer  Chris Brunsdon and I have taken a research trip to Ritsumeikan University (Japan) where we visited Keiji Yano and Tomoki Nakaya. As part ... [Read more...]

I find myself pasting urls and lots of little pieces together lately. Now paste is a standard go to guy when you wanna glue some stuff together. But often I find myself pasting and getting stuff like this: Rather than … Continue reading → [Read more...]

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Continuing from random coefficients part 1, it is time for the second part. To quote the SAS/STAT manual 'a random coefficients model with error terms that follow a nested structure'. The additional random variable is monthc, which is a factor con... [Read more...]

I love the idea of making non-R users playing with my datasets. Thanks to R Shiny package this is is now possible and I am going to post here my code for a simple web application.But first a few lines about Shiny package and my dataset. Okay…if you ... [Read more...]

Quite frequently, someone on the internet discovers the Monty Hall paradox, and become so enthusiastic that it becomes urgent to publish an article – or a post – about it. The latest example can be http://www.bbc.co.uk/news/magazine-24045598. I won’t blame them, I did the same a ... [Read more...]

In a recent post, I had hinted at big news for BCEA $-$ I thought it was pretty much a done deal, but because it wasn't yet set in stone, I didn't want to jinx it...But now I've sorted all the details with Springer, who have asked me to ... [Read more...]

A reposted item of news about MCMSki IV: as posted by Brad Carlin this afternoon to the Biometrics Section and Bayesian Statistical Science Section of the ASA, The fifth joint international meeting of the IMS (Institute of Mathematical Statistics) and ISBA (International Society for Bayesian Analysis), nicknamed “MCMSki IV”, will ... [Read more...]

by Joseph Rickert At Revolution Analytics our mission is to establish R as the driver for Enterprise level computational frameworks. In part, this means that a data scientist ought to be able to develop an R based application in one context, e.g. her local PC, and then get it ... [Read more...]

Data analysis is mostly focused on structured and standardized data, e. g. data from data bases, because these data can be used easily for analysis. Nevertheless even unstructured data offer chances to generate advantages. Concrete applications like content analysis or sentiment detection are discussed more and more frequently. Of course, ... [Read more...]

A short talk that I gave at the LIGHTS 2013 Conference (Johannesburg, 12 September 2013). The slides are relatively devoid of text because I like the audience to hear the content rather than read it. The central message of the presentation is that clustering lightning discharges into storms is not a trivial task, ... [Read more...]

Ensuring the quality and correctness of statistical or scientific software in general constitute as one for the main responsibilities of scientific software developers and scientists who provide a code to solve a specific computational task. Sometimes tasks could be mission critical. For example, in drug trails, clinical research or designing ... [Read more...]

Ensuring the quality and correctness of statistical or scientific software in general constitute as one fo the main responsibilities of scientific software developers and scientists who provide a code to solve a specific computational task. Sometimes t... [Read more...]

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I found a fun survey released to the Toronto Open Data website that investigates the travel/commuting behaviour of Torontonians, but with a special focus on E-bikes.  When I opened up the file, I found various demographic information, in addition to a … Continue reading → [Read more...]

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