569 search results for "sql"

R String processing

July 2, 2009
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R String processing

Here's a little vignette of data munging using the regular expression facilities of R (aka the R-project for statistical computing). Let's say I have a vector of strings that looks like this:> coords "chromosome+:157470-158370" "chromosome+:1583...

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How to plot a graph in R

June 2, 2009
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How to plot a graph in R

Here's a quick tutorial on how to get a nice looking graph out of R (aka the R Project for Statistical Computing). Don't forget that help for any R command can be displayed by typing the question mark followed by the command. For example, to see help o...

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Simple Approach to Converting GRASS DB-backends

May 23, 2009
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  Premise: The current default database back-end used by the GRASS vector model is DBF (as of GRASS 6.5), however this is probably going to be changed (to SQLite) in GRASS 7. The DBF back-end works OK, however it tends to be very sensitive (i.e. breaks) when reserved words occur in column names or...

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Baby steps with RSRuby in Rails

May 20, 2009
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Baby steps with RSRuby in Rails

Plotting and charting libraries for Ruby (on Rails) abound. However, few are sophisticated enough for scientists and many are not actively maintained. Plotting in R, on the other hand, is about as sophisticated as it comes. Can we bridge Ruby and R? Yes we can, thanks to Alex Gutteridge’s RSRuby. The next

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Analytic Infrastructure – Three Trends

May 11, 2009
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Analytic Infrastructure – Three Trends

This is a post about systems, applications, services and architectures for building and deploying analytics. Sometimes this is called analytic infrastructure. In this post, we look at several trends impacting analytic infrastructure. Trend 1. Open source analytics has reached Main Street. R, which was first released in 1996, is now

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Analytic Infrastructure – Three Trends

May 11, 2009
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Analytic Infrastructure – Three Trends

This is a post about systems, applications, services and architectures for building and deploying analytics. Sometimes this is called analytic infrastructure. In this post, we look at several trends impacting analytic infrastructure. Trend 1. Open source analytics has reached Main Street. R, which was first released in 1996, is now

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Analytic Infrastructure – Three Trends

May 11, 2009
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This is a post about systems, applications, services and architectures for building and deploying analytics. Sometimes this is called analytic infrastructure. In this post, we look at several trends impacting analytic infrastructure. Trend 1. Open source analytics has reached Main Street. R, which was first released in 1996, is now

Read more »

How Google and Facebook are using R

February 19, 2009
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How Google and Facebook are using R

(March 26th Update: Video now available) Last night, I moderated our Bay Area R Users Group kick-off event with a panel discussion entitled “The R and Science of Predictive Analytics”, co-located with the Predictive Analytics World conference here in SF. The panel comprised of four recognized R users from industry: Bo Cowgill, Google Itamar Rosenn,

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How do you measure a major league slugger?

September 1, 2008
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How do you measure a major league slugger?

I gave a talk last month at SAP Labs in Palo Alto, along with Jim Porzak of ResponSys, introducing the R Statistical Language to a Business Intelligence interest group.  The goal was to highlight how open source tools, like R, can be used to build predictive models.  The example I gave centered around baseball and

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