Monthly Archives: April 2013

R 3.0.0 and Raring Ringtail (Ubuntu 13.04)

April 29, 2013
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New .deb packages for R 3.0.0 on Raring Ringtail (13.04) are available on both CRAN and my Launchpad PPA. Some notes for this release. The initial build for Raring Ringtail did not come with Tcl/Tk being supported. This issue has been addressed and...

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…about R, for beginners

April 29, 2013
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…about R, for beginners

These days I was remembering my beginnings as a linux user few years ago, and how I found R (possibly in a very unlikely way: searching for a SPSS alternative in Linux). For two years, R had been almost impossible … Sigue leyendo →

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Feature Selection Strikes Back (Part 1)

April 29, 2013
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Feature Selection Strikes Back (Part 1)

In the feature selection chapter, we describe several search procedures ("wrappers") that can be used to optimize the number of predictors. Some techniques were described in more detail than others. Although we do describe genetic algorithms and how they can be used for reducing the dimensions of the data, this is the first of series of blog posts that...

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A Brief Tour of the Trees and Forests

April 29, 2013
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A Brief Tour of the Trees and Forests

Tree methods such as CART (classification and regression trees) can be used as alternatives to logistic regression. It is a way that can be used to show the probability of being in any hierarchical group. The following is a compilation of many of the key R packages that cover trees and forests.  The goal here

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Poor man’s integration – a simulated visualization approach

April 29, 2013
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Poor man’s integration – a simulated visualization approach

Every once in a while I encounter a problem that requires the use of calculus. This can be quite bothersome since my brain has refused over the years to retain any useful information related to calculus. Most of my formal training in the dark arts was completed in high school and has not been covered

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d3 <- R with rCharts and slidify

April 29, 2013
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I believe that the NY Times interactive feature 512 Paths to the White House is one of the best visualizations of all time.  It is even better when we have details on the process of creating this marvel.   Although the graphic is not suited for other data sources (please tell me if this is not...

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How UpStream uses R for Attribution Analysis

April 29, 2013
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Major retailers like Williams Sonoma use UpStream Software for marketing analytics, including revenue attribution, targeting, and optimization. In the video below Tess Nesbitt (senior statistician at UpStream) describes how she uses Revolution R Enterprise and Hadoop to figure out the impact on various marketing channels (for example direct mail, email offers, and catalogs) on consumer retail sales. (The slides...

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Webinar May 1: What’s new in Revolution R Enterprise 6.2

April 29, 2013
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Revolution R Enterprise 6.2 is now available, and includes many new features that enhance the performance, scalability and enterprise readiness of R. On May 1, product manager Thomas Dinsmore will give an overview of the new features in a 30-minute webinar. You can register for the webinar (and the post-webinar slides and replay) at the link below. Revolution Analytics...

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GSoC Proposal 2013: Biodiversity Visualizations using R

April 29, 2013
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GSoC Proposal 2013: Biodiversity Visualizations using R

I am applying for Google Summer of Code 2013 with this “Biodiversity Visualizations using R” proposal. I am posting this idea to get feedback and suggestions from Biodiversity Informatics community.

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GSoC Proposal 2013: Biodiversity Visualizations using R

April 29, 2013
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GSoC Proposal 2013: Biodiversity Visualizations using R

I am applying for Google Summer of Code 2013 with this “Biodiversity Visualizations using R” proposal. I am posting this idea to get feedback and suggestions from Biodiversity Informatics community.

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