Monthly Archives: January 2013

Multiple Classification and Authorship of the Hebrew Bible

January 1, 2013
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Multiple Classification and Authorship of the Hebrew Bible

Sitting in my synagogue this past Saturday, I started thinking about the authorship analysis that I did using function word counts from texts authored by Shakespeare, Austen, etc.  I started to wonder if I could do something similar with the … Continue reading →

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Efficiecy of Extracting Rows from A Data Frame in R

January 1, 2013
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Efficiecy of Extracting Rows from A Data Frame in R

In the example below, 552 rows are extracted from a data frame with 10 million rows using six different methods. Results show a significant disparity between the least and the most efficient methods in terms of CPU time. Similar to the finding in my previous post, the method with data.table package is the most efficient

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Polarisation and Mobilisation indicators

January 1, 2013
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Polarisation and Mobilisation indicators

This blog post makes available a set of indicators discussed in a forthcoming edition of Digital Icons. In brief, the script takes a text input and calculates polarisation and mobilisation indexes based on the number of pronouns featured.The hypothesised relationship between pronouns and polarisation is one discussed extensively by critical discourse analysts, social psychologists, and practitioners of critical linguistics....

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Standard Normal Variate (SNV: Other way)

January 1, 2013
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This is another way to pre-treat aspectra set with the SNV math-treatment (Standard Normal Variate). You can see the other one in the post : "Standard Normal Variate (SNV)".In this post, I use the R function "sweep".library(ChemometricsWithR)#in a...

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Unicode in R packages (not)

January 1, 2013
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Perhaps you are trying to add your nice new object as data for an R package. But wait. It has  foreign letters in its dimnames, so ’R CMD check’ will certainly complain. What you need is something to turn R’s natural Unicode-processing goodness into a relic from the early days of computing without inadvertently aliasing any words

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Sugar Functions head and tail

January 1, 2013
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The R functions head and tail return the first (last) n elements of the input vector. With Rcpp sugar, the functions head and tail work the same way as they do in R. Here we use std::sort from the STL and then tail to return the top n items (items wit...

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STL for_each and generalized iteration

January 1, 2013
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The STL contains a very general looping or sweeping construct in the for_each algorith. It can be used with function objects (such as the simple square function used here) but also with custom class which can be used to keep to keep state. #include <...

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