2354 search results for "Time Series"

Situational Baseball: Analyzing Runs Potential Statistics

May 26, 2015
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By Mark Malter A few weeks ago, I wrote about my Baseball Stats R shiny application, where I demonstrated how to calculate runs expectancies based on the 24 possible bases/outs states for any plate appearance. In this article, I’ll explain how I expanded on that to calculate the probability of winning the game, based on the current score/inning/bases/outs state....

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Interactive maps of Crime data in Greater London

May 25, 2015
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Interactive maps of Crime data in Greater London

In the previous post we looked at ways to perform some introductory point pattern analysis of open data downloaded from Police.uk. As you remember we subset the dataset of crimes in the Greater London area, extracting only the drug related ones. Subseq...

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Simulation-based power analysis using proportional odds logistic regression

May 22, 2015
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Simulation-based power analysis using proportional odds logistic regression

Consider planning a clinicial trial where patients are randomized in permuted blocks of size four to either a 'control' or 'treatment' group. The outcome is measured on an 11-point ordinal scale (e.g., the numerical rating scale for pain). It may be reasonable to evaluate the results of this trial using a proportional odds cumulative logit

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Introductory Point Pattern Analysis of Open Crime Data in London

May 21, 2015
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Introductory Point Pattern Analysis of Open Crime Data in London

IntroductionPolice in Britain (http://data.police.uk/) not only register every single crime they encounter, and include coordinates, but also distribute their data free on the web.They have two ways of distributing data: the first is through an API, which is extremely easy to use but returns only a limited number of crimes for each request, the second is...

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Are Canadian newspapers painting false pictures with data?

May 20, 2015
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Are Canadian newspapers painting false pictures with data?

The Canadian newspaper, Globe and Mail, is a leader in diction and style, but it may need improvement in the ‘grammar of graphics’.Globe’s recent depiction of metropolitan economic growth in the series Off the Charts was way off the mark. The chart plotted the current and forecasted GDP growth rates for select cities in Canada. The...

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GSoC 2015: Tracking changes in performance metrics of R Code

May 19, 2015
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GSoC 2015: Tracking changes in performance metrics of R Code

This blog post comes more than a week late than I had originally intended it to. But well, better late than never! This is the first in a series of posts I will write as I work through the summer on my project as…

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GSoC 2015: Tracking changes in performance metrics of R Code

May 19, 2015
By
GSoC 2015: Tracking changes in performance metrics of R Code

This blog post comes more than a week late than I had originally intended it to. But well, better late than never! This is the first in a series of posts I will write as I work through the summer on my …

Read more »

Fast parallel computing with Intel Phi coprocessors

May 19, 2015
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Fast parallel computing with Intel Phi coprocessors

by Andrew Ekstrom Recovering physicist, applied mathematician and graduate student in applied Stats and systems engineering We know that R is a great system for performing statistical analysis. The price is quite nice too ;-) . As a graduate student, I need a cheap replacement for Matlab and/or Maple. Well, R can do that too. I’m running a large...

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Posterior predictive output with Stan

May 18, 2015
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Posterior predictive output with Stan

I continue my Stan experiments with another insurance example. Here I am particular interested in the posterior predictive distribution from only three data points. Or, to put it differently I have a customer of three years and I'd like to predict the expected claims cost for the next year to set or adjust the premium.The example is taken...

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Learning about classes in R with plot.bike()

May 16, 2015
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Learning about classes in R with plot.bike()

A useful feature of R is its ability to implement a function differently depending on the ‘class’ of the object acted on. This article explores this behaviour with reference to a playful modification of the ‘generic’ function plot() to allow plotting of cartoon bicycles. Although the example is quite simple and fun, the concepts it touches on are complex...

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