Monthly Archives: October 2011

Hot Spot Mapping in R: Illustrating Relative Seasonal Risk

October 5, 2011
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Hot Spot Mapping in R: Illustrating Relative Seasonal Risk

In recent months, IDV has taken steps to incorporate the powerful statistical engine, R, as a viable connection to Visual Fusion.  R has a robust and growing set of libraries and a community that is constantly thumping away on improvements.  ...

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Calling Google Maps API from R

October 5, 2011
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Calling Google Maps API from R

Hi, Related to Julyan’s previous post, I want to share an easy way to access Google Maps API through R. And then we’ll stop about Google, otherwise it’ll look like we’re just looking for jobs. My problem was the following: … Continue reading →

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New release with Batch processing

October 5, 2011
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This week we rolled out a new release at cloudnumbers.com which implements two new main features: cloudnumbers.com now supports Batch processing. Due to some changes in the architecture we were able to reduce our system requirements. In detail, we do not need that much open ports in your firewall. Please check our updated System Requirements

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Modelling with R: part 3

October 5, 2011
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The previous posts, part 1 and part 2, detailed the procedure to successfully import the data and transform the data so that we can extract some useful information from them. Now it's time to get our hands dirty with some predictive modelling. The dependent variable here is a binary variable taking values "0" and "1", indicating whether the customer...

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Drawing maps using shapefiles and R

October 4, 2011
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Drawing maps using shapefiles and R

Sometimes a student may use a self explained chart, instead of a boring table for showing outcomes in a research paper. Yet, graphs are efficient in showing the broad picture of an issue and also for present results. In political science, you can getting into this topic reading Kastellec and Leoni (2007), for instance. I

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Interactive charts with googleVis package and R

October 4, 2011
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Interactive charts with googleVis package and R

Examples at the link below illustrate interactive charts created with the googleVis package and R. http://code.google.com/p/google-motion-charts-with-r/wiki/GadgetExamples Some amazing features are: a motion chart shows the changes over time, an AnnotatedTimeLine shows zoom-in/zoom-out view of time series, a TreeMap supports drill-down … Continue reading →

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GEE using Stata vs. R

October 4, 2011
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I am running GEE logistic regression model for my fetal loss paper. As usual, I compare results between Stata and R and make sure they are consistent. To my surprise, the models assuming independent correlation structure give similar results but the mo...

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Introduction to PloTA library in the Systematic Investor Toolbox

October 4, 2011
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Introduction to PloTA library in the Systematic Investor Toolbox

PloTA ( plot + ta ) library in the Systematic Investor Toolbox is a simple plot interface to charting Time Series and Technical Analysis plots. I created it as an alternative to charting functionality in quantmod package. It is designed to mimic default plot interface and works with xts objects. PloTA implements following methods: plota

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Bayesian Computation with R – Albert (2009)

October 4, 2011
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Bayesian Computation with R – Albert (2009)

Title: Bayesian Computation with RAuthor(s): Jim AlbertPublisher/Date: Springer/2009Statistics level: High Programming level: Low Overall recommendation: Recommended Bayesian Computation with R focuses primarily on providing the reader with a basic understanding of Bayesian thinking and the relevant analytic tools included in R. It does not explore either of those areas in detail, though it does hit The post Bayesian...

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Bayesian Computation with R – Albert (2009)

October 4, 2011
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Title: Bayesian Computation with RAuthor(s): Jim AlbertPublisher/Date: Springer/2009Statistics level: High Programming level: Low Overall recommendation: Recommended Bayesian Computation with R focuses primarily on providing the reader with a basic un...

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