3901 search results for "Gis"

Yet Another Baseball Defense Statistic

April 22, 2014
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Yet Another Baseball Defense Statistic

Fangraphs recently published an interesting dataset that measures defensive efficiency of fielders. For each player, the Inside Edge dataset breaks their opportunities to make plays into five categories, ranging from almost impossible to routine. It al...

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R jobs (April 22nd 2014)

April 22, 2014
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r_jobs

This is the bimonthly R Jobs post (for 2014-04-22), based on the R-bloggers’ sister website: R-users.com. If you are an employer who is looking to hire people from the R community, please visit this link to post a new R job (it’s free, and registration takes less than 10 seconds). If you are a job seekers, please follow the links below to learn more and apply...

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Simpson’s Paradox Is Back

April 21, 2014
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Simpson’s Paradox Is Back

The latest issue of the American Statistician has a set of thought-provoking point/counterpoint papers on Simpson’s Paradox, with a tie-in to the controversial issue of causality. (I will not address the causality issue here.) Since I have long had my own thoughts about Simpson’s, I’ll postpone the topic I had planned to post this week,

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Simpson’s Paradox Is Back

April 21, 2014
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Simpson’s Paradox Is Back

The latest issue of the American Statistician has a set of thought-provoking point/counterpoint papers on Simpson’s Paradox, with a tie-in to the controversial issue of causality. (I will not address the causality issue here.) Since I have long had my own thoughts about Simpson’s, I’ll postpone the topic I had planned to post this week,

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Mythbusting – Dr. Copper

April 21, 2014
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Mythbusting – Dr. Copper

Image by Justin Reznick   “An economist is an expert who will know tomorrow why the things he predicted yesterday didn't happen today.” Laurence J. Peter (author and creator of the Peter Principle) If you were paying attention to financial sites last month, you probably noticed a number of articles on “Dr. Copper”. Here is

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High incidence in Measles Data in Project Tycho

April 21, 2014
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High incidence in Measles Data in Project Tycho

In this third post on Measles data I want to have a look at some high incidence occasions. As described before, the data is from Project Tycho, which contains data from all weekly notifiable disease reports for the United States dating back to 1888. These data are freely available to anybody...

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Using Markov Chains to Model Mortgage Defaults in R

April 18, 2014
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Using Markov Chains to Model Mortgage Defaults in R

The goal of this post is to blend the material I’ve been learning in my night class with my day-job and R. If we have some object that switches between states over time according to fixed probabilities, we can model the long-term behavior of this object using Markov chains*. A good example is a mortgage. … Continue reading...

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Using Gitbook with R Markdown

April 18, 2014
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Using Gitbook with R Markdown

Gitbook has been getting some (deserved) attention. For those who haven’t seen it, Gitbook is a system to create really beautiful interactive web (or PDF and ebook) books. For me, the timing of discovering this framework could not be better as I am preparing documentation for propensity score analysis for an upcoming workshop I am giving. Of...

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Make your ggplots shareable, collaborative, and with D3

April 17, 2014
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Make your ggplots shareable, collaborative, and with D3

Editor's note: This is a guest post from Matt Sundquist form the Plot.ly team. You can access the source code for this post at https://gist.github.com/sckott/10991885 Ggplotly and Plotly's R API let you make ggplot2 plots, add py$ggplotly(), and make your plots interactive, online, and drawn with D3. Let's make some. 1. Getting Started and Examples Here is Fisher's iris...

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Using R — Working with Geospatial Data (and ggplot2)

April 16, 2014
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Using R — Working with Geospatial Data (and ggplot2)

This is a follow-up blog-post to an earlier introductory post by Steven Brey: Using R: Working with Geospatial Data. In this post, we’ll learn how to plot geospatial data in ggplot2. Why might we want to do this? Well, it’s really …   read more ...

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