Monthly Archives: July 2013

Zero to hero

July 13, 2013
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Zero to hero

Recently, I've been working on a paper, which I think is coming along nicely. The basic problem is like this: in a health economic evaluation, sometimes data are collected on a sample of individuals. Say, for example, that $n_0$ subjects are given a st...

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UseR! 2013 Highlights

July 13, 2013
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The conference was excellent this year. My highlights:Bojan Mihaljevic gave a great presentation on machine learning models built from network models. Their package isn't on CRAN yet, but I'm really looking forward to it. Jim Harner's presentation ...

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Science link goodness for the week of July 12th

July 13, 2013
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Science link goodness for the week of July 12th

Hello paleoposse! This week I bring you some of my favorite science articles from around the internet. In keeping with the podcast theme, I’ve divided it up into things that are science, things that are sort of science, and things that wish they were science. This week we cover everything from chondrules to volcanoes to

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Creating a Business Intelligence Dashboard with R and ASP.NET MVC: Part 1

July 13, 2013
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Creating a Business Intelligence Dashboard with R and ASP.NET MVC: Part 1

This is an extended version of the previous post and it can be found at  https://www.simple-talk.com/dotnet/asp.net/creating-a-business-intelligence-dashboard-with-r-and-asp.net-mvc-part-1/.

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GGPlot2 #1: Employee Job Satisfaction at Top Tech Companies

July 13, 2013
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GGPlot2 #1: Employee Job Satisfaction at Top Tech Companies

This is the first in a series of ongoing posts where I’ll take data on various topics and create simple visualizations of that data using the ggplot2 package in R. While my day job involves analyzing data, I rarely work on projects where I’m expected to produce “publication-worthy” graphics. Therefore, these posts are a way for

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Faster Multivariate Normal densities with RcppArmadillo and OpenMP

July 13, 2013
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Faster Multivariate Normal densities with RcppArmadillo and OpenMP

The Multivariate Normal density function is used frequently in a number of problems. Especially for MCMC problems, fast evaluation is important. Multivariate Normal Likelihoods, Priors and mixtures of Multivariate Normals require numerous evaluations, thus speed of computation is vital. We show a twofold increase in speed by using RcppArmadillo, and some extra gain by using OpenMP.This project is based...

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Reflections on UseR! 2013

July 12, 2013
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This week I’ve been at the R Users conference in Albacete, Spain. These conferences are a little unusual in that they are not really about research, unlike most conferences I attend. They provide a place for people to discuss and exchange ideas on how R can be used. Here are some thoughts and highlights of the conference, in no...

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Throw some, throw some STATS on that map…(Part 1)

July 12, 2013
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Throw some, throw some STATS on that map…(Part 1)

R is a very powerful and free (and fun) software package that allows you to do, pretty much anything you could ever want. Someone told me that there’s even code that allows you to order pizza (spoiler alert: you actually cannot order pizza using R :( ). But if you’re not hungry, the statistical capabilities

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From Whale Calls to Dark Matter: Competitive Data Science with R and Python

July 12, 2013
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From Whale Calls to Dark Matter: Competitive Data Science with R and Python

Back in June I gave a fun talk at Montreal Python on some of my dabbling in the competitive data science scene. The good people at Savior-fair Linux recorded the talk and have edited it all together into a pretty slick video. If you can spare twenty-minutes or so, have a look. If you want

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UseR! 2013: it’s a wrap!

July 12, 2013
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UseR! 2013: it’s a wrap!

Steve Scott (Google) presents at useR! 2013, July 12 2013 The 2013 UseR! conference has drawn to a close in Albacete, Spain. The conference organizers did a fantastic job putting together a jam-packed presentation and social program for the 350+ R users in attendance. Here are just a few of my highlights from the last couple of days: Duncan...

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