Monthly Archives: July 2012

Health Care Costs – Part 2, "Unhealthy Things Not Related to the Problem"

July 11, 2012
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Health Care Costs – Part 2, "Unhealthy Things Not Related to the Problem"

Lighting Up Way back in the day, folks believed that smoking was not only cool but also completely safe. As Marcel Danesi states in his book Of Cigarettes, High Heels, and Other Interesting Things, Second Edition: An Introduction to Semiotics ...

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In case you missed it: June 2012 Roundup

July 11, 2012
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In case you missed them, here are some articles from June of particular interest to R users. The FDA goes on the record that it's OK to use R for drug trials. A review of talks at the useR! 2012 conference. Using the negative binomial distribution to convert monthly fecundity into the chances of having a baby in a...

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Getting numpy data into R — Take Two

July 10, 2012
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A couple of days ago, I had posted a short Python script to convert numpy files into a simple binary format which R can read quickly. Nice, but still needing an extra file. Shortly thereafter, I found Carl Rogers cnpy library which makes reading and writing numpy files from C++ a breeze, and I quickly wrapped this up into a new package...

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This is *huge*: SAScii package

July 10, 2012
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http://blog.revolutionanalytics.com/2012/07/importing-public-data-with-sas-instructions-into-r.html Q: How do you make a hairless primate? Answer 1: Take a hairy primate, wait a few million years and see if Darwin was right. Answer 2: Make them work i...

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Importing public data with SAS instructions into R

July 10, 2012
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Many public agencies release data in a fixed-format ASCII (FWF) format. But with the data all packed together without separators, you need a "data dictionary" defining the column widths (and metadata about the variables) to make sense of them. Unfortunately, many agencies make such information available only as a SAS script, with the column information embedded in a PROC...

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introduction to R: learning by doing (part 2: plots)

July 10, 2012
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introduction to R: learning by doing (part 2: plots)

Lets go one with the second part of learning R by doing R (you will find the first part here. As we have used vectors, matrices and loops in the first part, we will concentrate on graphics in this one. but first we will need data to plot: Sometimes you will need several plots in

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simulation, an ubiquitous tool

July 10, 2012
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simulation, an ubiquitous tool

(This article was first published on Xi'an's Og » R, and kindly contributed to R-bloggers) After struggling for quite a walk on that AMSI public lecture talk, and dreading its loss with the problematic Macbook, I managed to complete a first draft last night in Adelaide, downloading a final set of images from the Web...

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Visualizing Graphical Models

July 10, 2012
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Visualizing Graphical Models

I'm anticipating presenting research of mine based on Bayesian graphical models to an audience that might not be familiar with them. When presenting ordinary regression results, there's already the sort of statistical sniper questions along the lines o...

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SAS Beats R on July 2012 TIOBE Rankings

July 10, 2012
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SAS Beats R on July 2012 TIOBE Rankings

The TIOBE Community Programming Index ranks the popularity of programming languages, but from a programming language perspective rather than as analytical software (http://www.tiobe.com). It extracts measurements from blogs, entries in Wikipedia, books on Amazon, search engine results, etc. and combines them into a single index. … Continue reading →

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2nd CFP: the 10th Australasian Data Mining Conference (AusDM 2012)

July 10, 2012
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2nd CFP: the 10th Australasian Data Mining Conference (AusDM 2012)

The Tenth Australasian Data Mining Conference (AusDM 2012) Sydney, Australia, 5-7 December 2012 http://ausdm12.togaware.com/ The Australasian Data Mining Conference has established itself as the premier Australasian meeting for both practitioners and researchers in data mining. This year’s conference, AusDM’12, co-hosted … Continue reading →

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