Blog Archives

Notes from A Recent Spatial R Class I Gave

June 19, 2012
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Below is a link to a pdf (compiled with the amazing knitr package) and some accompanying data for a recent short course I gave on basic spatial data import/analysis/visualization in R. The class was only two hours and some of the participants were bein...

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The Epic Search for the Perfect R Text Editor

May 8, 2012
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  I can never seem to get exactly what I want from an R text editor. Let me correct that, I can never seem to get exactly what I want from an R text editor on a MAC. I used to use Tinn-R  which met most  my needs: Free,lightweight with ...

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R in the CPB and the role of Open Source in Promoting Transparency and Austerity

April 12, 2012
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The Revolution blog links to an O'Reilly  interview with two CIO's from the Consumer Protection Bureau. The gist of the interview is "Open Source is Great, we are using it for everything; R and Big Data are the next hot thing, et cetera".  I ...

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R Structure Explained

April 4, 2012
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This post by Suraj Gupta explains it all. This is the firs time I have seen a  concise and accessible explanation of the R environment structure and why it matters.   Addendum: This one by Digithead is also pretty good

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Plotting forecast() objects in ggplot part 2: Visualize Observations, Fits, and Forecasts

March 21, 2012
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Plotting forecast() objects in ggplot part 2: Visualize Observations, Fits, and Forecasts

In my last post I presented a function for extracting data from a forecast() object and formatting the data so that it can be plotted in ggplot.  The scenario is that you are fitting a model to a time series object with training data, then forecas...

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Plotting forecast() objects in ggplot part 1: Extracting the Data

March 13, 2012
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Lately I've been using Rob J Hyndman's excellent forecast package. The package comes with some built in plotting functions but I found I wanted to customize and make my own plots in ggplot. In order to do that, I need a generalizable function that will...

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