Introduction to Applied Econometrics With R

April 30, 2015
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I came across a January post from David Smith at Revolution Analytics, in his Revolutions blog. It's titled, An Introduction to Applied Econometrics With R, and it refers to a very useful resource that's been put together by Bruno Rodrigues of the University of Strasbourg. It's called Introduction to Programming Econometrics With R,...

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Using rvest and dplyr to look at aviation incidents

April 30, 2015
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Using rvest and dplyr to look at aviation incidents

For a project I recently faced the issue of getting a database of all aviation incidents. As I really wanted to try Hadley’s new rvest-package, I thought I will give it a try and share the code with you. The data of aviation incidents starting in 1919 from the Aviation Safety Network can be found

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The First NY R Conference

April 30, 2015
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The First NY R Conference

by Joseph Rickert Last Friday and Saturday the NY R Conference briefly lit up Manhattan's Union Square neighborhood as the center of the R world. You may have caught some of the glow on twitter. Jared Lander, volunteers from the New York Open Statistical Programming Meetup along with the staff at Workbench (the conference venue) set the bar pretty...

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EARL2015 Conference Agenda (London) Announced

April 30, 2015
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EARL2015 Conference Agenda (London) Announced

  The full agenda for the London EARL2015 Conference has now been announced.  The conference focusses on the real world commercial usage and business applications of the R Language and features speakers from companies such as Shell, Allianz, KPMG, UBS, … Continue reading →

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Circle packing in R (again)

April 29, 2015
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Circle packing in R (again)

Back in 2010 I posted some R code for circle packing. Now, just five years later, I've ported the code to Rcpp and created a little package which you can find at GitHub.The main function is circleLayout which takes a set of overlapping circles and tries to find a non-overlapping arrangement for them. Here's an example:

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Wakefield: Random Data Set (Part II)

April 29, 2015
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Wakefield: Random Data Set (Part II)

This post is part II of a series detailing the GitHub package, wakefield, for generating random data sets. The First Post (part I) was a test run to gauge user interest. I received positive feedback and some ideas for improvements, … Continue reading →

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Modeling the Latent Structure That Shapes Brand Learning

April 29, 2015
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Modeling the Latent Structure That Shapes Brand Learning

What is a brand? Metaphorically, the brand is the white sphere in the middle of this figure, that is, the ball surrounded by the radiating black cones. Of course, no ball has been drawn, just the conic thorns positioned so that we construct the sphere ...

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the most patronizing start to an answer I have ever received

April 29, 2015
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the most patronizing start to an answer I have ever received

Another occurrence of a question on X validated where the originator (primitivus petitor) was trying to get an explanation without the proper background. On either Bayesian statistics or simulation. The introductory sentence to the question was about “trying to understand how the choice of priors affects a Bayesian model estimated using MCMC”

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Visualizing fits, inference, implications of (G)LMMs with Jaime Ashander

April 29, 2015
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A couple of weeks at the Davis R Users’ Group, Jaime Ashander gave a presentation on and visualizing and diagnosing (G)LMMs in R. Here’s the video: Jaime also wrote up the notes from his talk, including all the code, on his blog here (with the raw R Markdown file on github here). The material...

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Turning Data Into Awesome With sqldf and pandasql

April 29, 2015
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Turning Data Into Awesome With sqldf and pandasql

Both R and Python possess libraries for using SQL statements to interact with data frames. While both languages have native facilities for manipulating data, the sqldf and pandasql provide a simple and elegant interface for conducting tasks using an intuitive framework that’s widely used by analysts.         R and sqldf sqldf("SELECT COUNT(*) FROM df2 WHERE

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R, Python, MATLAB, & Excel Dashboards & Graphs with D3.js & WebGL

April 29, 2015
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R, Python, MATLAB, & Excel Dashboards & Graphs with D3.js & WebGL

Web tools like D3.js and WebGL let you make beautiful, interactive 2D and 3D graphs. You can now publish graphs and dashboards with these technologies using Python, R, MATLAB, & Excel. Publishing and sharing is one extra line of code. This post puts you on your way, no downloads or installations required. We’ll start with ggplot2; scroll to see Python and MATLAB plots in 2D and 3D. See our

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Benchmarks of RRO on OSX and Ubuntu

April 29, 2015
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Benchmarks of RRO on OSX and Ubuntu

Bay Area engineer Vineet Abraham recently ran some benchmarks for Revolution R Open (RRO) running on Mac OS X and on Ubuntu. Thanks to the multi-threaded processing capabilites of RRO, several operations ran much faster than R downloaded from CRAN, without having to change any code: For the most part, RRO performs significantly faster than standard R both locally...

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See R in action at the BUILD conference

April 29, 2015
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See R in action at the BUILD conference

Build 2015, the Microsoft conference which brings around 5,000 developers to the Moscone Center in San Francisco, begins tomorrow. The conference is sold out, but you can livestream the keynote presentations from buildwindows.com to catch all the big announcements. You can also follow along on Twitter at the #Build2015 hashtag. There will be a major keynote presentation featuring CEO...

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Finance-YahooQuote 0.25 hotfix

April 29, 2015
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A hotfix release for the Finance-YahooQuote Perl module on CPAN is now available. Available Yahoo! Finance decided to change the base URL. My thanks to Nicola Chiapolini who not only noticed but also sent me the one-line patch fixing this: --- YahooQuote.pm~ 2010-03-27 01:44:10.000000000 +0100 +++ YahooQuote.pm ...

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Twelve Graphs & Dashboards You Should See On Climate Change, Science, & Public Opinion

April 28, 2015
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Twelve Graphs & Dashboards You Should See On Climate Change, Science, & Public Opinion

Plotly has teamed up with The White House on President Obama’s Climate Data Initiative to explore and explain climate trends. This post is our first contribution. You’ll see interactive graphs about: temperature and CO2 (4), climate change & environmental impact (4), attitudes about global warming (3), and a population graph. If you like this post, please share...

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choroplethrZip v1.3.0: easier demographics, national maps

April 28, 2015
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choroplethrZip v1.3.0: easier demographics, national maps

Introduction choroplethr v3.0 is now available on github. You can get it by typing # install.packages("devtools") library(devtools) install_github('arilamstein/[email protected]') Version 1.3.0 has two new features: Data frame df_zip_demographics contains eight demographic statistics about each ZIP Code Tabulated Area (ZCTA) in the US. Data comes from the 2013 5-year American Community Survey (ACS). Function ?get_zip_demographics will return

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RStudio v0.99 Preview: Code Diagnostics

April 28, 2015
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RStudio v0.99 Preview: Code Diagnostics

In RStudio v0.99 we’ve made a major investment in R source code analysis. This work resulted in significant improvements in code completion, and in the latest preview release enable a new inline code diagnostics feature that highlights various issues in your R code as you edit. For example, here we’re getting a diagnostic that notes that there is an extra

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Winning streaks in baseball

April 28, 2015
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Winning streaks in baseball

How rare are winning streaks in baseball? The post Winning streaks in baseball appeared first on Decision Science News.

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Situational Baseball: Analyzing Runs Potential Statistics

April 28, 2015
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Situational Baseball: Analyzing Runs Potential Statistics

by Mark Malter After reading the book, Analyzing Baseball with R, by Max Marchi and Jim Albert, I decided to expand on some of their ideas relating to runs created and put them into an R shiny app . The Server and UI code are linked at the bottom of the Introduction tab. I downloaded the Retrosheet play-by-play data...

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RcppTOML 0.0.3: A New Approach to Configuration Files

April 28, 2015
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A small project I worked on during the last few weeks has now come together in new package RcppTOML which arrived on CRAN yesterday. It provides R with a reader for TOML files. TOML stands for Tom's Obvious Markup Language. And before you roll your eyes, glance at the TOML site. It really is different, and...

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Downloading and Visualizing Seismic Events from USGS

April 28, 2015
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Downloading and Visualizing Seismic Events from USGS

The unlucky events that took place in Nepal have flooded the web with visualization of the earthquakes from USGS. They normally visualize earthquakes with a colour scale that depends on the age of the event and a marker size that depends on magnitude. I remembered that some time ago I tested ways for downloading and visualizing data from USG...

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R in Insurance 2015 Conference Programme

April 28, 2015
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R in Insurance 2015 Conference Programme

The programme for the 3rd R in Insurance conference is on-line. The event will take place on 29 June 2015 at the University of Amsterdam. Time to register now. Special thanks to our sponsors, without whom the conference wouldn't be possible: CYBAEA, RS...

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Some basics of biomaRt

April 27, 2015
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Some basics of biomaRt

One of the commonest bioinformatics questions, at Biostars and elsewhere, takes the form: “I have a list of identifiers (X); I want to relate them to a second set of identifiers (Y)”. HGNC gene symbols to Ensembl Gene IDs, for example. When this occurs I have been known to tweet “the answer is BioMart” (there

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I Fought the (distribution) Law (and the Law did not win)

April 27, 2015
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I Fought the (distribution) Law (and the Law did not win)

A few days ago, I was asked if we should spend a lot of time to choose the distribution we use, in GLMs, for (actuarial) ratemaking. On that topic, I usually claim that the family is not the most important parameter in the regression model. Consider the following dataset > db <- data.frame(x=c(1,2,3,4,5),y=c(1,2,4,2,6)) > plot(db,xlim=c(0,6),ylim=c(-1,8),pch=19) To visualize a regression...

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Awesome-R: A curated list of the best add-ons for R

April 27, 2015
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One of the great things about R is that there's so much available to use with it: there are several interfaces to choose from, thousands of add-on packages to extend its capabilites, hundreds of books and on-line tutorials — an abundance of riches to improve your R experience. But with that abundance comes a problem: how to find the...

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8 new R jobs (2015-04-27)

April 27, 2015
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8 new R jobs (2015-04-27)

This is the bimonthly post (for 2015-04-13) for new R Jobs from R-users.com. Employers: visit this link to post a new R job to the R community (it’s free and quick). Job seekers: please follow the links below to learn more and apply for your job of interest (or visit previous R jobs posts). Full-Time Senior Data Analyst – Online Advertising (at Booking.com) Booking.com – Posted by Booking.com Amsterdam Noord-Holland, Netherlands 23 Apr2015...

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Oracle R, Hash Table Results, And VIM To The Rescue

April 27, 2015
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Oracle R, Hash Table Results, And VIM To The Rescue

Downloaded and installed Solaris 11.2 on my laptop, and WOW! That was a throwback to the late 90’s! Old version of GNOME, no truetype fonts so the whole visual experience was very pixelly. Firefox was installed but every website I visited yelled,...

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Exploration of Functional Diversity indices using Shiny

April 27, 2015
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Exploration of Functional Diversity indices using Shiny

Biological diversity (or biodiversity) is a complex concept with many different aspects in it, like species richness, evenness or functional redundancy. My field of research focus on understanding the effect of changing plant diversity on higher trophic levels communities but also ecosystem function. Even if the founding papers of this area of research already hypothesized

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EARL2015 Conference, London – Presenters Announced

April 27, 2015
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EARL2015 Conference, London – Presenters Announced

We are delighted to announce the impressive line up of speakers for September’s London EARL Conference.  The speakers represent industries including Energy, Leisure, Insurance, FCMG, Finance, Market Research, Healthcare and Sport and offer real world examples of the usage and application of … Continue reading →

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