Monthly Archives: February 2010

Mexico’s Economy

February 22, 2010
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Mexico’s Economy

Yesterday the INEGI released the GDP figures for 2009, and since it was an annus horribilis for Mexico, I thought I'd put up a couple of charts. Looking through the Banco de Información Económica I found two series of historical seasonally adjusted GDP data available:GDP in 1993 pesos going from 1980 to 2007 GDP in 2003 pesos going...

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Mexico’s Economy

February 22, 2010
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Mexico’s Economy

Yesterday the INEGI released the GDP figures for 2009, and since it was an annus horribilis for Mexico, I thought I'd put up a couple of charts. Looking through the Banco de Información Económica I found two series of historical seasonally adjusted GDP data available: GDP in 1993 pesos going from 1980 to 2007 GDP in 2003 pesos going...

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Time Series Calendar Heat Maps Using R

February 22, 2010
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Time Series Calendar Heat Maps Using R

I came across an interesting blog that showcased Charting time series as calendar heat maps in R . It is based upon a great algorithm created by Paul Bleicher,CMO of Humedica. I'll let you link to the other blog to see more details on the background ...

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A quicky..

February 22, 2010
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If you’re (and you should) interested in principal components then take a good look at this. The linked post will take you by hand to do everything from scratch. If you’re not in the mood then the dollowing R functions will help you. An example. # Generates sample matrix of five discrete clusters that have

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Sudoku via simulated annealing

February 22, 2010
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Sudoku via simulated annealing

The Sudoku puzzle in this Sunday edition of Le Monde was horrendously difficult, so after spending one hour with only 4 entries filled, I decided to feed it to the simulated annealing R program I wrote while visiting SAMSI last year. The R program reached the exact (and only) solution in about 6000 iterations, as

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Siegel-Tukey: a Non-parametric test for equality in variability (R code)

February 22, 2010
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Daniel Malter just shared on the R mailing list (link to the thread) his code for performing the Siegel-Tukey (Nonparametric) test for equality in variability. Excited about the find, I contacted Daniel asking if I could republish his code here, and he kindly replied “yes”. From here on I copy his note at full. p.s: (The R function can be downloaded from...

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Speeding up R code: A case study

February 22, 2010
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On his Psychology and Statistics blog, Jeromy Anglim tells how he was analyzing some data from a skill acquisition experiment. Needing to run a custom R function across 1.3 million data points, Jeromy estimated it would take several hours for the computation to complete. So, Jeromy set out to optimise the code. First, he used the Rprof function, which...

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ggplot2 (qplot) text size

February 22, 2010
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I'm trying to learn qplot in ggplot2, and I'm having a difficult time adjusting text sizes. Well, difficult doesn't descibe it - I can't do it at all. The manual tells me I can use cex just like in plot, but it's not working...

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Time-Space Cloud with R

February 22, 2010
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Time-Space Cloud with R

Here comes another option to analyze a TimeSpace-Track with R. A lattice cloud plots every recorded trackpoint into a 3d-time-space-cube. As the data (planar point pattern) is marked with the daytime, cluster of everyday routines become visible. Here the direct comparison between a function of density and the time-space-cloud. Code example: cloud(time_hours ~ PPP_selection$x *

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Post hoc analysis for Friedman’s Test (R code)

February 22, 2010
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Post hoc analysis for Friedman’s Test  (R code)

My goal in this post is to give an overview of Friedman’s Test and then offer R code to perform post hoc analysis on Friedman’s Test results. (The R function can be downloaded from here) Preface: What is Friedman’s Test Friedman test is a non-parametric randomized block analysis of variance. Which is to say it is a non-parametric version of...

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