# Monthly Archives: January 2010

## Typos in Chapter 4

January 9, 2010
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Chapter 4 of “Introducing Monte Carlo Methods with R” has four typos (so far) in the exercises: – In Exercise 4.5, the should not be in bold fonts (!) – In Exercise 4.9, I commented too many lines when revising and thus the variance terms vanished. It should read – In Exercise 4.13, following the removal of

## sequential ideal point estimates

January 9, 2010
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Out of curiosity, I produced a “sequential” set of ideal point estimate for the (current) 111th U.S. Senate, plotting the results in the graph attached below (click on the thumbnail); as is conventional, red is Republican and blue is Democratic. The analysis uses all 373 non-unanimous roll calls in the 111th Senate thus far. Each

January 9, 2010
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In further support of the claim that a lot of deaths are partly self-induced, here’s a fascinating piece by Wired on the extraordinary rise in the percent of deaths among the young caused by their own poor decisions. It’s remarkable that, for the young, modern science has already made the world so safe that humanity,

## Because it’s Friday: Gravity Wells

January 8, 2010
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It's a little strange to see a web comic come up with such interesting visualizations, but xkcd has followed up on their movie timelines charts with this illustration of the gravitational attraction of the various bodies in the solar system. The gravitational force at the surface of the planet or moon determines how high you'd need to jump in...

## External pointers with Rcpp

January 8, 2010
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pre{ border: 1px solid black ; font-size: x-small; } One of the new features of Rcpp is the XPtr class template, which lets you treat an R external pointer as a regular pointer. For more information on external pointers, see Writing R extensions...

## Example 7.21: Write a function to simulate categorical data

January 8, 2010
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In example 7.20, we showed how to simulate categorical data. But we might anticipate needing to do that frequently. If a SAS function weren't built in and an equivalent R function not available in a package, we could build them from scratch.SASThe SAS code is particularly tortured, since we must parse the parameter string to extract the...

## Learning R via Python…or the other way around (with video!)

January 8, 2010
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Last night I was one of five speakers at the NYC R Statistical Programming Meetup. The topic last night was dubbed the R Rosetta Stone, and the intent was to show how R as a language translated into several other analytical platforms and programming languages. Other speakers covered MATLAB, SAS, SQL/Postges and Clojure/Incanter—I

## R Tutorial Series: ANOVA Tables

January 8, 2010
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The commonly applied analysis of variance procedure, or ANOVA, is a breeze to conduct in R. This tutorial will explore how R can be used to perform ANOVA to analyze a single regression model and to compare multiple models.Tutorial FilesBefore we begin,...

## Codecogs – Open-Source library of numerical components

January 8, 2010
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The Codecogs website provides an Open-source library of functions for numerical analysis. One interesting component available on the website is the LaTeX equation editor which can be used to create graphics files of equations to include on webpages. The webpage describe this component as a A web-based LaTeX equation editor that generates graphical images and HTML

## Review of ‘Computational Statistics: An Introduction to R’ in JSS

January 7, 2010
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Somehow missed during the the end-of-year switchover was the fact that my review of Guenther Sawitzki's Computational Statistics: An Introduction to R (CRC / Chapman \& Hall, 2009) is now up on the Journal of Statistical Software website.