Monthly Archives: September 2013

analyze the home mortgage disclosure act (hmda) microdata with r and monetdb

September 23, 2013
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back in 1975, congress had it up to here with discriminatory lending practices and decided to require financial organizations originating home mortgages to report some basic operational statistics publicly.  the home mortgage disclosure act mandat...

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Exploratory Data Analysis: Quantile-Quantile Plots for New York’s Ozone Pollution Data

Exploratory Data Analysis: Quantile-Quantile Plots for New York’s Ozone Pollution Data

Introduction Continuing my recent series on exploratory data analysis, today’s post focuses on quantile-quantile (Q-Q) plots, which are very useful plots for assessing how closely a data set fits a particular distribution.  I will discuss how Q-Q plots are constructed and use Q-Q plots to assess the distribution of the “Ozone” data from the built-in

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MCMSki IV, Jan. 6-8, 2014, Chamonix (news #9)

September 22, 2013
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MCMSki IV, Jan. 6-8, 2014, Chamonix (news #9)

This a reminder about the October 15 deadlines for MCMSki IV: First, the early bird rate for the registration ends up on October 15. Second, the young investigator travel support can only be requested up to October 15 as well. Be sure to book your hotel or rental place early too as Chamonix is quite popular in

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Preview of my book – Modeling data with functional programming in R

September 21, 2013
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Preview of my book – Modeling data with functional programming in R

As some of you know, I’ve been writing a book (to be published by CRC Press/Chapman & Hall and released …Continue reading »

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A few gotchas with R date-time classes

September 21, 2013
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Date and time handling is essential to many modelling and analysis exercises, in R and other languages used for scientific computing. Over the past few months I tackled the mapping of date-time concepts between R and the .NET framework as part of the w...

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Guns are cool

September 21, 2013
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Guns are cool

Reddit has a subreddit Guns are cool which in turn contains the MASS SHOOTINGS IN 2013 page. I pulled those data to see if there was anything of interest to plot or examine. I ended with modelling the frequency of shootings (once a day, Poisson distribution), and number of victims per shootings, a mixture of distributions, 2% of shootings...

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Creating your personal, portable R code library with GitHub

September 21, 2013
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Creating your personal, portable R code library with GitHub

As I discussed in a previous post, I have a few helper functions I’ve created that I commonly use in my work. Until recently, I manually included these functions at the start of my R scripts by either the tried and true copy-and-paste method, or by extracting them from a local file with the <code>source()</code> The post Creating...

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Calling R functions through AJAX using opencpu.js

September 21, 2013
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Calling R functions through AJAX using opencpu.js

The opencpu.js library builds on jQuery to call R functions through AJAX, straight from the browser. This makes it easy to embed R based computation or graphics in apps. Moreover, asynchronous requests (which are native in Javascript) make parallelization a natural part of the application. This post introduces some of...

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Calling R functions through AJAX using opencpu.js

September 21, 2013
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Calling R functions through AJAX using opencpu.js

The opencpu.js library builds on jQuery to call R functions through AJAX, straight from the browser. This makes it easy to embed R based computation or graphics in apps. Moreover, asynchronous requests (which are native in Javascript) make parallelization a natural part of the application. This post introduces some of...

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Network visualization – part 4: 3D networks

September 20, 2013
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In the fourth and final part of my graph visualization series, I’ll show how to create 3D network plots. 3D plots are more than just pretty plots – they allow you to rotate, scale, and zoom in and out of … Continue reading →

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