3742 search results for "gis"

Revolution Newsletter: July 2013

July 15, 2013
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The most recent edition of the Revolution Newsletter came out a couple of weeks ago. In case you missed it, the news section is below, and you can read the full July edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email. Let’s Be Quick About...

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Getting Started with Reproducible Research: A chapter from my new book

July 15, 2013
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Getting Started with Reproducible Research: A chapter from my new book

(This article was first published on Christopher Gandrud (간드루드 크리스토파), and kindly contributed to R-bloggers) This is an abridged excerpt from Chapter 2 of my new book Reproducible Research with R and RStudio. It’s published by Chapman & Hall/CRC Press. You can purchase it on Amazon. “Search inside this book” includes a complete table of contents. Researchers often start...

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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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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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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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Generate UUIDs in R

July 11, 2013
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Here a snippet of R to generate a Version 4 UUID. Dunno why there wouldn't be an official function for that in the standard libraries, but if there is, I couldn't find it. ## Version 4 UUIDs have the form: ## xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx ## where x is any hexadecimal digit and ## y is one...

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UK dialect maps

July 10, 2013
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UK dialect maps

A few weeks ago Joshua Katz published some awesome dialect maps of the United States with the help of a web interface coded with Shiny. Now we propose a similar setup for the UK data based on our rapporter.net "R-as-a-Service" with some further add-ons, like regional comparison and dynamic textual analysis of the differences: You may...

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Modeling Residential Electricity Usage with R – Part 2

July 8, 2013
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Modeling Residential Electricity Usage with R – Part 2

(This article was first published on Commodity Stat Arb, and kindly contributed to R-bloggers) I can’t believe it has been nearly 6 months since I last posted.  Given the sustained heat it seemed like a good idea to finish off this subject. As hinted at in my last post, temperature is the missing variable to make sense of Residential...

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Veterinary Epidemiologic Research: Modelling Survival Data – Parametric and Frailty Models

July 5, 2013
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Veterinary Epidemiologic Research: Modelling Survival Data – Parametric and Frailty Models

Last post on modelling survival data from Veterinary Epidemiologic Research: parametric analyses. The Cox proportional hazards model described in the last post make no assumption about the shape of the baseline hazard, which is an advantage if you have no idea about what that shape might be. With a parametric survival model, the survival time

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