Monthly Archives: June 2011

Environments in R

June 4, 2011
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Environments in R

One interesting thing about R is that you can get down into the insides fairly easily. You're allowed to see more of how things are put together than in most languages. One of the ways R does this is by having first-class environments. At first glance, environments are simple enough. An environment...

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Don Quijote — Word Statistics

June 4, 2011
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Don Quijote — Word Statistics

Using the Gutenberg Project’s free text of Don Quijote + Unix for Poets, here are the most used (non-short) words in Miguel de Cervantes’ famous work: 2167 Quijote 2145 Sancho 1331 porque 1053 respondió 1027 había  900 merced  813 vuestra  79...

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searching ITIS and fetching Phylomatic trees

June 3, 2011
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searching ITIS and fetching Phylomatic trees

I am writing a set of functions to search ITIS for taxonomic information (more databases to come) and functions to fetch plant phylogenetic trees from Phylomatic. Code at github.Also, see the examples in the demos folder on the Github site above.

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Visualizing small-scale paired data – combining boxplots, stripcharts, and confidence-intervals in R

June 3, 2011
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Visualizing small-scale paired data – combining boxplots, stripcharts, and confidence-intervals in R

Sometimes when working with small paired data-sets it is nice to see/show all the data in a structured form. For example when looking at pre-post comparisons, connected dots are a natural way to visualize which data-points belong together. In R this can be easily be combined with boxplots expressing the overall distribution of the data.  This

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Using R for Stata to CSV Conversion

June 3, 2011
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I recently found myself in the unpleasant situation of needing to read a Stata .dta file, but not having Stata readily available to me. Normally, I’d fire up a text editor and deconstruct the file, except Stata saves its data in a proprietary Binary format, meaning it garbles some of the content of the file.

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Example 8.39: calculating Cramer’s V

June 3, 2011
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Example 8.39: calculating Cramer’s V

Cramer's V is a measure of association for nominal variables. Effectively it is the Pearson chi-square statistic rescaled to have values between 0 and 1, as follows:V = sqrt(X^2 / )where X^2 is the Pearson chi-square, n...

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Simulating CMYK mis-registration printing

June 3, 2011
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Simulating CMYK mis-registration printing

I recently came across a poster advertising a children's production of Shakespeare's The Tempest where they purposely used an effect to mimic a mis-registration in CMYK printing. You have probably seen this before as a slight offset in one of t...

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The residuals of crime

June 3, 2011
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The residuals of crime

Real-estate search website Trulia has a new tool to help you in your choice of a new home: crime maps. With local police forces being much better about sharing data crime maps are nothing new, but Trulia takes it to the next level with a slick user interface for navigating US cities, a beautiful heat-map visualization of crime hot-spots...

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Always learn and never know

June 3, 2011
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Always learn and never know

I have been using R for about two years, with no previous coding background. So, I feel like the title says, “always learn and never know”. This time, I decided to use R to study a simple, non-statistical problem that came up some time ago. Suppose the exponential function 2^x and the parabola x^2. One

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Merge all files in a directory using R into a single dataframe

June 3, 2011
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Merge all files in a directory using R into a single dataframe

In this post, I provide a simple script for merging a set of files in a directory into a single, …Continue reading »

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