Monthly Archives: March 2013

Downloading NFL.com Fantasy Football Projections using R

March 9, 2013
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Downloading NFL.com Fantasy Football Projections using R

In this post, I will show how to download NFL.com fantasy football projections using R.The R ScriptThe R Script for downloading fantasy football projections from NFL.com is located at: https://github.com/dadrivr/FantasyFootballAnalyticsR...

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The Gambling Machine Puzzle

March 9, 2013
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The Gambling Machine Puzzle

This puzzle came up in the New York Times Number Play blog. It goes like this: An entrepreneur has devised a gambling machine that chooses two independent random variables x and y that are uniformly and independently distributed between 0 and 100. He plans to tell any customer the value of x and to ask him

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GSOC 2013: IID Assumptions in Performance Measurement

March 9, 2013
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GSOC 2013: IID Assumptions in Performance Measurement

Google Summer of Code for 2013 has been announced and organizations such as R are beginning to assemble ideas for student projects this summer. If you’re an interested student, there’s a list of project proposals on the R wiki. If you’re considering being a mentor, post a project idea on the site soon – project

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Visualizing Risky Words — Part 2

March 9, 2013
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Visualizing Risky Words — Part 2

This is a follow-up to my Visualizing Risky Words post. You’ll need to read that for context if you’re just jumping in now. Full R code for the generated images (which are pretty large) is at the end. Aesthetics are the primary reason for using a word cloud, though one can pretty quickly recognize what

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Analyzing SimplyStatistics visits info

March 9, 2013
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Analyzing SimplyStatistics visits info

Recently we had to analyze the data of the number of visits per day to SimplyStatistics.org. There were two goals: Estimate the fraction of visitors retained after a spike in the number of visitors Identify (if any) any factors that influence the fraction estimated in 1. For me it was a fun project in part because I like SimplyStatistics but also...

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A bit more on sample size

March 8, 2013
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A bit more on sample size

In our article What is a large enough random sample? we pointed out that if you wanted to measure a proportion to an accuracy “a” with chance of being wrong of “d” then a idea was to guarantee you had a sample size of at least: This is the central question in designing opinion polls Related posts:

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R vs. Perl/mySQL – an applied genomics showdown

March 8, 2013
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R vs. Perl/mySQL - an applied genomics showdown Recently I was given an assignment for a class I'm taking that got me thinking about speed in R. This isn't something I'm usually concerned with, but the first time I tried to run my solution (ussing plyr's ddply() it was going to take all night to compute. I consulted the professor that taught...

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Quandl package released to CRAN

March 8, 2013
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In a guest post here on February 20, Tammer Kamel introduced us to Quandl, a kind of "wikipedia" of time series data. In the post, Tammer (the founder of Quandl) noted that they were working on an R package to give R users access to Quandl as a data source. That package is now available. It includes the Quandl...

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Comparing quantiles for two samples

March 8, 2013
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Comparing quantiles for two samples

Recently, for a research paper, I some samples, and I wanted to compare them. Not to compare they means (by construction, all of them were centered) but there dispersion. And not they variance, but more their quantiles. Consider the following boxplot type function, where everything here is quantile related (which is not the case for standard boxplot, see http://freakonometrics.hypotheses.org/4138,...

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Data Visualization: Shiny Democratization

March 8, 2013
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Data Visualization: Shiny Democratization

In organizing Data Visualization DC we focus on three themes: The Message, The Process, The Psychology. In other words, ideas and examples of what can be communicated, the tools and know-how to get it done, and how best to communicate. … Continue reading → The post Data Visualization: Shiny Democratization appeared first on Data Community DC.

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