Creating publication quality graphics using R

July 15, 2013
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Creating publication quality graphics using R

As part of a one-day workshop, I have developped an online tutorial on how to create publication quality graphics using R (from an academic point of view). The tutorial can

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New Webinar this Wednesday: Using survival analysis for marketing attribution

July 15, 2013
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This Wednesday at 11AM Eastern Time, Revolution Analytics UK Business Services Director Andrie DeVries will present a new webinar, Using Survival Analysis for Marketing Attribution. This webinar will focus on a new application of survival analysis (more traditionally used for life sciences application) to the domain of marketing: A central question in advertising is how to measure the effectiveness...

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Read GRASS raster directly into R?

July 15, 2013
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Read GRASS raster directly into R?

There was always the issue which bugged me: Why do I have to go through an intermediate format on disk when I want to import a GRASS raster layer into R? At the moment, when I use readRAST6(), the raster layer is exported from GRASS into an intermediate formate (I don’t recall which format it

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useR 2013

July 15, 2013
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useR 2013

Four days sunshine, heat and R – isn’t that a dream? Well, I guess for some this would be a nightmare, but that depends if you like heat or not. And it was hot: at 21:00 it was still 35 degrees in the sun. So that aspect is covered, and we can move on to

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Tailor Your Tables with stargazer: New Features for LaTeX and Text Output

July 15, 2013
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Tailor Your Tables with stargazer: New Features for LaTeX and Text Output

Guest post by Marek Hlavac Since its first introduction on this blog, stargazer, a package for turning R statistical output into beautiful LaTeX and ASCII text tables, has made a great deal of progress. Compared to available alternatives (such as …Read more »

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R in Insurance Presentation

July 15, 2013
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R in Insurance Presentation

I will be presenting with Simon Brickman today at the inaugural “R in Insurance” conference at the Cass Business School in London. You can download the content from my public Dropbox folder. There was a bit of magic in how … Continue reading →

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Coming back from Albacete (useR conference 2013)…

July 15, 2013
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Dear MilanoR friends, I am just back from UseR 2013 in Albacete (Spain) and I would like to share. Thanks First of all I would like to thank all staff from the conference organizer committee and personnel for the excellent … Continue reading →

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analyze the surveillance epidemiology and end results (seer) with r and monetdb

July 15, 2013
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the surveillance epidemiology and end results program is the aggregation of all cancer registry statistics in the united states.  created by congressional decree, seer has captured a nationally-representative quarter of american cancer incidence s...

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Imputing Missing Data With Expectation – Maximization

July 14, 2013
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Imputing Missing Data With Expectation – Maximization

It can be fairly common to find missing values in a dataset. Having only a few missing values isn’t generally a problem and those records can be deleted listwise. In other words the entire record is simply removed from the analysis. The problem is even with a limited amount missing data, that can translate into

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Go home, Feedly, you’re drunk!

July 14, 2013
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Go home, Feedly, you’re drunk!

With the demise of Google Reader, many of us have scrambled to find alternatives which cover many/most of the features we were used to. For me, synchronised access from web and mobile counts quite high, and I want the (Android) mobile experience to b...

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Partial Least Squares Regression in R

July 14, 2013
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Partial Least Squares Regression in R

Partial Least Squares Regression:This week I will be doing some consulting around Structural Equation Modeling (SEM) techniques to solve a unique business problem.  We are trying to identify customer preference for various products and traditional regression is not adequate because of the high dimensional component to the data set along with the multi-colinearity of the variables.  PLS is a...

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R talks to Weka about Data Mining

July 14, 2013
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R talks to Weka about Data Mining

R provides us with excellent resources to mine data, and there are some good overviews out there: Yanchang’s website with Examples and a nice reference card The rattle-package that introduces a nice GUI for R, and Graham William’s compendium of tools The caret-package that offers a unified interface to running a multitude of model builders.

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useR 2013 was a blast!

July 14, 2013
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useR 2013 was a blast!

I had a great time at useR 2013 in Albacete, Spain. The food was great, the people were fun and the weather was hot. A pleasant surprise was that I won the useR data analysis contest with my submission “Modeling Match Results in La Liga Using a Hierarchical Bayesian Poisson Model.” It was a fun exercise modeling football...

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Rain in Netherlands during the past 100 years

July 14, 2013
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Rain in Netherlands during the past 100 years

Climate has my interest. But discussions on climate change seem to be focused on temperature. In real life, we look at temperature, rain, sunshine and wind. I was therefor happy to find a load of rain data on Royal Netherlands Meteorological Institute....

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Slides from Rcpp talk in Sydney

July 13, 2013
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The Sydney Users of R Forum (SURF) were kind enough to host me two days (well, three with the traveling ...) ago for an hour-long talk on Rcpp. Apparently, it set a new attendance record for this R user group. My thanks to Louise and Eugene for hosti...

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List Comprehensions in R

July 13, 2013
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List comprehensions in Python or Haskell are popular and useful tools to filter a list given some predicates. The foreach package by Revolution Analytics gives us a handy interface to list comprehensions in R. Quicksort is a recursive algorithm to ...

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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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Calculate RMSE and MAE in R and SAS

July 12, 2013
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Calculate RMSE and MAE in R and SAS

Here is code to calculate RMSE and MAE in R and SAS. RMSE (root mean squared error), also called RMSD (root mean squared deviation), and MAE (mean absolute error) are both used to evaluate models. MAE gives equal weight to all errors, while RMSE gives extra weight to large errors. Continue reading →

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Course Materials from useR! 2013 R/Bioconductor for Analyzing High-Throughput Genomic Data

July 12, 2013
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At last week's 2013 useR! conference in Albacete, Spain, Martin Morgan and Marc Carlson led a course on using R/Bioconductor for analyzing next-gen sequencing data, covering alignment, RNA-seq, ChIP-seq, and sequence annotation using R. The course mate...

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An Introduction to Collaborative Filtering

July 12, 2013
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An Introduction to Collaborative Filtering

A typical consumer today uses multiple devices to surf the web and interact in many ways with your eCommerce business. For most stores, maximizing conversion and increasing order size in this environment is not only an enormous challenge, but also an incredible opportunity. eCommerce stores also have a variety of marketing channels be it e-mail

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