Monthly Archives: December 2012

Shiny released to CRAN; Shiny Server coming soon

December 5, 2012
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The shiny package, the R package from RStudio that makes it easy to build simple interactive interfaces for R scripts, is now available on CRAN. This will make it easier for R programmers to install and use shiny, and to run the interfaces they create from a local web browser. The next step is to be able to publish...

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Loading Big files in R

December 5, 2012
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Loading Big files in R

Far as I remember, today was the first day in my life I succeed to load a text file bigger than 1.5 Gb into R (~ 5 million lines and 18 columns). My computer is not a small stuff, I’m using a Macbook Pro with rough 8GB of RAM, but the issue why I couldn’t

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Speed up your map plotting in R

December 5, 2012
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Speed up your map plotting in R

I have been forever annoyed at how long it takes to plot data on a large shapefile. And this is a domain where doesn’t matter if you’re working with MapInfo or R. Just zooming the figure takes ages. But a … Continue reading →

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Apple Compared to Others with ggthemes

December 5, 2012
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Apple Compared to Others with ggthemes

For a happy person delightfully concentrated in Apple, I wanted to show Apple’s performance versus Microsoft and Cisco in decades 1(1990-2000) and 2 (2000-2012).  I thought this would give me a good chance to try out the very interesting work be...

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write.table with proper column number in the header

December 5, 2012
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Did you notice that the file generated from write.table() in R has missed a tab (\t) in the top-left corner, when row.names=T (by default)?I found the solution here:http://stackoverflow.com/questions/2478352/write-table-in-r-screws-up-header-when-has-r...

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Forbes Graph Makeover Contest Entry #1

December 5, 2012
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Forbes Graph Makeover Contest Entry #1

Naomi Robbins is running a graph makeover challenge over at her Forbes blog and this is my entry for the B2B/B2C Traffic Sources one (click for larger version): And, here’s the R source for how to generate it: library(ggplot2)   df = read.csv("b2bb2c.csv")   ggplot(data=df,aes(x=Site,y=Percentage,fill=Site)) + geom_bar(stat="identity") + facet_grid(Venue ~ .) + coord_flip() + opts(legend.position

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Population dynamics using INLA

December 5, 2012
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Population dynamics using INLA

Summary: Two methods of inferring (effective) population dynamics from genetic variation are compared: (i) Markov chain Monte Carlo (MCMC; using BEAST); and (ii) integrated nested Laplace approximation (INLA; using R interface of that name). INLA runs >1000 times faster than … Continue reading →

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Bottom-up creation of data-driven capabilities: show don’t tell

December 5, 2012
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Bottom-up creation of data-driven capabilities: show don’t tell

I’ve been writing lately on what to do when people who make decisions in an organization say they want data-driven capabilities but then ignore or attack the results of data-driven analysis for not saying what they think the data ought to say. Some of the most productive things you can do in that situation include

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APSRtable: Getting Tables from R to \( \LaTeX \)

December 5, 2012
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APSRtable: Getting Tables from R to \( \LaTeX \)

Oftentimes you might be writing in LaTeX and trying to push your results from R into your .tex file. This, at times, can be very frustrating. Luckily, there’s apsrtable, an R package that automatically produces the LaTeX code for your  R model ...

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Modis QC Bits

December 5, 2012
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Modis QC Bits

In the course of working through my MODIS  LST project and reviewing the steps that Imhoff and Zhang took as well has the data preparations other researchers have taken ( Neteler ) the issue of MODIS Quality control bits came up.  Every MODIS  HDF file comes with multiple SDS or multiple layers of data. For

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