Monthly Archives: November 2013

Analyzing the DVI Indicator

November 30, 2013
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Analyzing the DVI Indicator

The DVI indicator is a well-known indicator, created by David Varadi from CSS Analytics. It was introduced in 2009 as a good predictor for the S&P 500 over the past 30 years. Its performance on the S&P 500 has been studied in the blogosphere comprehensively. None of these studies, however, contained everything I was looking

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R Syntax for Ranked Choice Voting

November 30, 2013
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I have gotten several requests for the R syntax I used to analyze the ranked-choice voting data and create the animated GIF. Rather than just posting the syntax, I thought I might write a detailed post describing the process. Reading … Continue reading →

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Logistic Regression with R: step by step implementation part-1

November 30, 2013
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Logistic Regression with R: step by step implementation part-1

Very warm welcome to first part of my series blog posts. In previous blog post, we discussed about concept of the linear regression and its mathematical model representation.  We also tried to implement linear regression in R step by step. In this post I will discuss about the logistic regression  and how to implement the The post Logistic...

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The attendants of useR! 2013 around the world

November 30, 2013
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The attendants of useR! 2013 around the world

Alex and I had a great time in Albacete this summer, where the annual useR! conference took place. Of course we were really interested in the exciting news on R development, new packages and other related topics that we hoped to hear about there, and we also wanted to present what we have created with our R packages...

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RcppCNPy 0.2.2

November 30, 2013
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Right on the heels of release 0.2.1 of RcppCNPy, a new version 0.2.2 is now on CRAN. RcppCNPy uses the CNPY library by Carl Rogers to provide R with easy read and write access to NumPy files. The reason for the new version that I had experimented ...

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Le Monde puzzle [#842]

November 29, 2013
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Le Monde puzzle [#842]

An easily phrased (and solved?) Le Monde mathematical puzzle that does not require an R code: The five triplets A,B,C,D,E are such that and Given that find the five triplets. Adding up both sets of equations shows everything solely depends upon E1… So running an R code that checks for all possible values of

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Introducing CrimeMap – A Web App Powered by ShinyApps!

November 29, 2013
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Introducing CrimeMap – A Web App Powered by ShinyApps!

A few months ago I did a mini project using open crime data and R to create crime visualisations. At that time, I was already thinking about a web app using Shiny but I couldn't justify the time to develop the app and then set up a server etc. Not unti...

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Unusual timing shows how random mass murder can be (or even less)

November 29, 2013
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Unusual timing shows how random mass murder can be (or even less)

This post follows the original one on the headline of the USA Today I read during my flight to Toronto last month. I remind you that the unusual pattern was about observing four U.S. mass murders happening within four days, “for the first time in at least seven years”. Which means that the difference between

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Weisberg Growth Model

November 28, 2013
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Weisberg Growth Model

A fishR user asked me if I had Weisberg Linear Growth Model (LGM) vignette.  In the past, the Weisberg LGM referred to the fixed-effects models described in Weisberg (1993) and implemented in software that was written in XLISP-STAT and distributed … Continue reading →

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RcppCNPy 0.2.1

November 28, 2013
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Version 0.2.1 of RcppCNPy is now on CRAN earlier. This version is a minor upgrade with a few small changes as detailed in the NEWS file: Changes in version 0.2.1 (2013-11-28) Synchronized code with the cnpy repository Added new function to ...

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