Monthly Archives: September 2009

Find the function you’re looking for in R

September 14, 2009
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Any R user no matter what level of experience has had trouble finding the package or the function to do what you want to do and then figuring out how to use it.  The sos package in R just made that a lot easier. First, fire up R, then install the sos package (don't omit the quotes): install.packages("sos") It'll ask you to...

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Chicago Half Marathon 2009

September 13, 2009
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Today it was once again time for the Chicago Half Marathon (which I have now been running in 2003, 2004, 2005, 2006, 2007 and 2008). Conditions were much much better than last year's very heavy rainfall---we were once again treated to a sunny and clear Chicago sky. It was however a little on the humid side and got...

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Finding an R function

September 13, 2009
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Suppose you want a function to fit a neural network. What’s the best way to find it? Here are three steps that help to find the elusive function relatively quickly. First, use help.search("neural") or the shorthand ??neural. This will search the help...

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New R package: sos

September 12, 2009
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Searching help pages of contributed packages just got easier with the release of the new sos package. This is a replacement for and substantial enhancement of the existing "RSiteSearch" package. To learn more about it, try vignette("sos") We hope...

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Aggregating SSURGO Data in R

September 10, 2009
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Aggregating SSURGO Data in R

  Premise SSURGO is a digital, high-resolution (1:24,000), soil survey database produced by the USDA-NRCS. It is one of the largest and most complete spatial databases in the world; and is available for nearly the entire USA at no cost. These data are distributed as a combination of geographic and text data, representing soil map units and their...

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Machine Learning in R

September 10, 2009
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Revolutions blog recently posted a link to R code by Joshua Reich with self-contained examples of using machine learning techniques in R, including various clustering methods (k-means, nearest neighbor, and kernel), recursive partitioning (CART), principle components analysis, linear discriminant analysis, and support vector machines.  This post also links to some slides that go over the basics

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brew: Creating Repetitive Reports

September 9, 2009
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brew: Creating Repetitive Reports

United Nations report World Population Prospects: The 2008 Revision (highlights available here) provides data about the historical and forecasted population of the country. In exploring the future and past population trends it is relatively easy to subset the dataset by your selected variable. > file <- c("UNdata_Population.csv") > population <- read.csv(file) > names(population) <- c("code", "country", "year", +

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search the graph gallery from R

September 8, 2009
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pre{ font-size:xx-small !important ; border: 1px black solid; } This is a short code snippet that is motivated by this thread on r-help yesterday. The gallery contains a search engine textbox (top-right) that can be used to search for content i...

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new R package : ant

September 8, 2009
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The ant package has been released to CRAN yesterday. As discussed in previous posts in this blog (here and here), the ant R package provides an R-aware version of the ant build tool from the apache project. The package contains an R script that c...

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Comparison between 15 different cities…

September 6, 2009
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Comparison between 15 different cities…

The other day I was thinking about how expensive will it be to live in London (as I'm going to live in London for almost one year), and also thinking about how expensive are the cities where some of my best friends live and I got a report by UBS called "Prices and Earnings 2009", it's all...

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