3795 search results for "GIS"

Feature Selection 3 – Swarm Mentality

June 6, 2013
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Feature Selection 3 – Swarm Mentality

"Bees don't swarm in a mango grove for nothing. Where can you see a wisp of smoke without a fire?" - Hla Stavhana In the last two posts, genetic algorithms were used as feature wrappers to search for more effective subsets of predictors. Here, I will do the same with another type of search algorithm: particle swarm optimization....

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Intro to Parallel Random Number Generation with RevoScaleR

June 6, 2013
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Intro to Parallel Random Number Generation with RevoScaleR

by Joseph Rickert Random number generation is fundamental to doing computational statistics. As you might expect, R is very rich in random number resources. The R base code provides several high quality random number generators including: Wichmann-Hill, Marsaglia-Multicarry, Super-Duper, Mersenne-Twister, Knuth-TAOCP-2002 and L’Ecuyer-CMRG. (See Random for details.) And, there are at least three packages, rspring, rlecuyer, and rstream for...

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Inputting Data in Matrix Format

June 6, 2013
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Matrix in R is formed using matrix, rbind, or cbind function. These functions have the following descriptions:matrix - used to transform a concatenated data into matrix form of compatible dimensions. rbind - short for row bind, that binds a conca...

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Major League Baseball run scoring trends with R’s Lahman package

June 4, 2013
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Major League Baseball run scoring trends with R’s Lahman package

The statistical software R has an ever-expanding array of packages that provide pre-programmed functions and datasets. One such package is named Lahman, bundling the contents of the Lahman database into a quick-and-easy resource for R users. In addition to the data tables, the package resources also contain a variety of analyses and graphics undertaken using...

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Collecting geocoded tweets with R and Java

June 4, 2013
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Collecting geocoded tweets with R and Java

Number of tweets in different languages posted around GermanyThere are many thing one can do with tweets (sentiment analysis, maps, ...). This entry shows you how you can access the publicly available API using Java and how to analyse the data using R....

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IntR – Interactive GUI for performing geostatistical analysis in R

June 4, 2013
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IntR – Interactive GUI for performing geostatistical analysis in R

In 2011 I presented at the UseR conference, held in Warwick (UK), a piece of software for easing the learning curve of R for geostatistical analysis. It is a very simple attempt to create an interactive interface in R, by using Python as GUI. F...

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Plotting Oracle RMAN backup durations with R

June 3, 2013
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Plotting Oracle RMAN backup durations with R

  How long does your Oracle RMAN backup take to complete?  How does this vary over time?  Are there patterns by week, week of month, or day of week?   The gist below can help you evaluate questions like these.… Read more ›

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Creating a zoomable map of tweets with R

June 3, 2013
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Creating a zoomable map of tweets with R

Languages tweeted around Germany: red, blue, green, yellow, grey are for German, French, English, Dutch and other  respectively. See here for a zoomable version.Motivated by the project twitter languages of New York I wanted to...

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Grid Search for Free Parameters with Parallel Computing

June 1, 2013
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Grid Search for Free Parameters with Parallel Computing

In my previous post (http://statcompute.wordpress.com/2013/05/25/test-drive-of-parallel-computing-with-r) on 05/25/2013, I’ve demonstrated the power of parallel computing with various R packages. However, in the real world, it is not straight-forward to utilize these powerful tools in our day-by-day computing tasks without carefully formulate the problem. In the example below, I am going to show how to use the

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Flotsam 12: early June linkathon

June 1, 2013
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A list of interesting R/Stats quickies to keep the mind distracted: A long draft Advanced Data Analysis from an Elementary Point of View by Cosma Shalizi, in which he uses R to drive home the message. Not your average elementary point of view. Good notes by Frank Davenport on starting using R with data from

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