Monthly Archives: December 2016

How to map your Google location history with R

December 29, 2016
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How to map your Google location history with R

It’s no secret that Google Big Brothers most of us. But at least they allow us to access quite a lot of the data they have collected on us. Among this is the Google location history. If you want to see a few ways how to quickly and easily visualize ...

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Pokemon and TrelliscopeJS!

December 29, 2016
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I’m always looking for ways to spark my kid’s interest in computers, data, etc. This has proven to be more difficult than I thought it would be (kids these days…). I suspect this may have something to do with the ubiquity of electronic devices that “just work”, making them less novel and less interesting to tinker with, but speculation...

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a Galton-Watson riddle

December 29, 2016
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a Galton-Watson riddle

The Riddler of this week has an extinction riddle which summarises as follows: One observes a population of N individuals, each with a probability of 10⁻⁴ to kill the observer each day. From one day to the next, the population decreases by one individual with probability K√N 10⁻⁴ What is the value of K that

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Sampling from shifted Gompertz distribution

December 29, 2016
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Sampling from shifted Gompertz distribution

using Accept-Reject method - Shifted Gompertz distribution Shifted Gompertz distribution is useful distribution which can be used to describe time needed for adopting new innovation within the market. Recent studies showed that it outperforms Bass model of diffusion in some cases1. Its pdf is given by Below we show what happens if...

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7 Visualizations You Should Learn in R

December 29, 2016
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7 Visualizations You Should Learn in R

7 Visualizations You Should Learn in R With ever increasing volume of data, it is impossible to tell stories without visualizations. Data visualization is an art of how to turn numbers into useful knowledge. R Programming lets you learn this art by offering a set of inbuilt functions and libraries to build visualizations and present... Read MoreThe post 7...

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Quadratic Discriminant Analysis of Two Groups

December 29, 2016
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As mentioned in the post on classification with linear discriminant analysis, LDA assumes the groups in question have equal covariance matrices . Therefore, often when the groups do not have equal covariance matrices, observations are frequently assigned to groups with large variances on the diagonal of its corresponding covariance matrix... The post Quadratic Discriminant Analysis of Two Groups appeared first...

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Using R to prevent food poisoning in Chicago

December 29, 2016
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There are more than 15,000 restaurants in Chicago, but fewer than 40 inspectors tasked with making sure they comply with food-safety standards. To help prioritize the facilities targeted for inspection, the City of Chicago used R to create a model that predicts which restaurants are most likely to fail an inspection. Using this model to deploy inspectors, the City...

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Intermediate Tree 1

December 29, 2016
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Intermediate Tree 1

If you followed through the Basic Decision Tree exercise, this should be useful for you. This is like a continuation but we add so much more. We are working with a bigger and badder datasets. We will be also using techniques we learned from model evaluation and work with ROC, accuracy and other metrics. Answers

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An Interview With Jo Hardin, author of Foundations of Inference

December 29, 2016
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Hey R fans! A new episode of DataCamp's DataChats video series is out!  In this episode, we interview Jo Hardin. Jo is a Professor of Mathematics at Pomona College with many years of R experience.  She has a pure passion for education and has been w...

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Reactive acronym list in stratvis, a timevis-based Shiny app

December 29, 2016
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Reactive acronym list in stratvis, a timevis-based Shiny app

Abstract I present a method for reactively updating a table of acronyms from a Shiny interactive timeline using renderDataTable and timevis. The method is used in the new Shiny app, stratvis. The stratvis app The stratvis Shiny app provides a rich a...

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