Monthly Archives: August 2016

Mapping Traffic Fatalities

August 31, 2016
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Mapping Traffic Fatalities

On Monday, August 29, DJ Patil, the Chief Data Scientist in the White House Office of Science and Technology Policy, and Mark Rosekind, the Administrator of the National Highway Traffic Safety Administration (NHTSA), announced the release of a data set...

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Simulation models of epidemics using R and simecol

August 31, 2016
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In this post we'll dip our toes into the waters of epidemological dynamics models, using R and simecol, as we have done in the previous two posts of this series. These models of epidemics are interesting in that they introduce us to a more general class of models called compartment models, commonly used in the study of biological systems....

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forcats 0.1.0 🐈🐈🐈🐈

August 31, 2016
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forcats 0.1.0 🐈🐈🐈🐈

I’m excited to announce forcats, a new package for categorical variables, or factors. Factors have a bad rap in R because they often turn up when you don’t want them. That’s because historically, factors were more convenient than character vectors, as discussed in stringsAsFactors: An unauthorized biography by Roger Peng, and stringsAsFactors = <sigh> by Thomas Lumley. If you use packages from

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Fundamental and Technical Analysis of Shares Exercises

August 31, 2016
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Fundamental and Technical Analysis of Shares Exercises

In this set of exercises we shall explore possibilities for fundamental and technical analysis of stocks offered by the quantmod package. If you don’t have the package already installed, install it using the following code: install.packages("quantmod") and load it into the session using the following code: library("quantmod") before proceeding. Answers to the exercises are available

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How to Check Data Quality using R

August 31, 2016
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  By Milind Paradkar Do You Use Clean Data? Always go for clean data! Why is it that experienced traders/authors stress this point in their trading articles/books so often? As a novice trader, you might be using the freely available data from sources like Google or Yahoo finance. Do such sources provide accurate, quality data?... The post How...

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ggtree for microbiome data

August 31, 2016
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ggtree for microbiome data

ggtree can parse many software outputs and the evolution evidences inferred by these software can be used directly for tree annotation. ggtree not only works as an infrastructure that enables evolutionary data that inferred by commonly used software packages to be used in R, but also serves as a general tree visualization and annotation tool for the...

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ubeR: A Package for the Uber API

August 31, 2016
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ubeR: A Package for the Uber API

Uber exposes an extensive API for interacting with their service. ubeR is a R package for working with that API which Arthur Wu and I put together during a Hackathon at iXperience. Installation The package is currently hosted on GitHub. Installation is simple using the devtools package. Authentication To work with the API you’ll need The post

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A map of elevators in NYC

August 30, 2016
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Not too long ago, I came across a random tweet pointing to a GitHub repository full of miscallaneous datasets. I was imemdiately excited by the various data science and visualization problems tha I could take on and immediately decided to get my hand...

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The R community is awesome (and fast)

August 30, 2016
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Recently I whined/whinged or generally complained about a few sharp edges in some powerful R systems. In each case I was treated very politely, listened to, and actually got fixes back in a very short timeframe from volunteers. That is really great and probably one of the many reasons R is a great ecosystem. Please … Continue...

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Florid’AISTATS

August 30, 2016
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Florid’AISTATS

The next AISTATS conference is taking place in Florida, Fort Lauderdale, on April 20-22. (The website keeps the same address one conference after another, which means all my links to the AISTATS 2016 conference in Cadiz are no longer valid. And that the above sunset from Florida is named… cadiz.jpg!) The deadline for paper submission

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