2738 search results for "GIS"

Stop Sign Project Post1: Some GIS stuff done in R

February 26, 2013
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(This article was first published on bRogramming, and kindly contributed to R-bloggers) To leave a comment for the author, please follow the link and comment on his blog: bRogramming. R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics...

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Registration for ‘R in Insurance’ conference has opened

February 19, 2013
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Registration for ‘R in Insurance’ conference has opened

The registration for the first conference on R in Insurance on Monday 15 July 2013 at Cass Business School in London has opened. The intended audience of the conference includes both academics and practitioners who are active or interested in the applications of R in insurance. The 2013 R in Insurance conference builds...

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Gist for previous posts

February 17, 2013
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The more I use it, the more I understand the benefits and value of Github as a code-sharing resource. The gist found here is the R code for my posts on run scoring trends by league (found here, here, and here).  I will continue to use Github for t...

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Evolution of a logistic regression

January 28, 2013
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Evolution of a logistic regression

In my last post I showed how one can easily summarize the outcome of a logistic regression. Here I want to show how this really depends on the data-points that are used to estimate the model. Taking a cue from the evolution of a correlation I have plotted the estimated Odds Ratios (ORs) depending on

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How much can we learn from an empirical result? A Bayesian approach to power analysis and the implications for pre-registration.

January 18, 2013
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How much can we learn from an empirical result? A Bayesian approach to power analysis and the implications for pre-registration.

Just like a lot of political science departments, here at Rice a group of faculty and students meet each week to discuss new research in political methodology. This week, we read a new symposium in Political Analysis about the pre-registration of studies in political science. To briefly summarize, several researchers argued that political scientists should

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Clone all your gists locally with R

January 2, 2013
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I really like gists as a quick way to include more lengthly code snippets into my blog posts. However, I am not a git user as such, and so I was quite concerned when I noticed that all my gists on this blog had vanished after Christmas. I suppose this was a result of Github's downtime...

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Binary Classification – A Comparison of “Titanic” Proportions Between Logistic Regression, Random Forests, and Conditional Trees

December 23, 2012
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Binary Classification – A Comparison of “Titanic” Proportions Between Logistic Regression, Random Forests, and Conditional Trees

Now that I’m on my winter break, I’ve been taking a little bit of time to read up on some modelling techniques that I’ve never used before. Two such techniques are Random Forests and Conditional Trees.  Since both can be used … Continue reading →

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Scaling legislative roll call votes with wnominate

December 3, 2012
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Scaling legislative roll call votes with wnominate

We’ve used NOMINATE scaling data before here at is.R(), but today’s Gist shows, in just a few lines of code, how to download up-to-date roll call data and run those votes through Keith Poole (et. al.)’s DW-NOMINATE procedure. It&#82...

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R for Ecologists: Permutation Analysis – t-tests

October 24, 2012
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R for Ecologists: Permutation Analysis – t-tests

You’ve carefully designed your experiment, you’ve meticulously collected your data, and you have a hypothesis to test. Unfortunately, your data is typical of ecology data: small sample sizes, messy, and non-normal. Your ideal test, the t-test, won’t work because of the … Continue reading →

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Logistic Regression with R

October 21, 2012
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Logistic Regression with R

Logistic Regression In my first blog post, I have explained about the what is regression? And how linear regression model is generated in R? In this post, I will explain what is logistic regression? And how the logistic regression model is generated in R? Let’s first understand logistic regression. Logistic regression is one of the

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