Calendar Strategy: Fed Days

May 6, 2014
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Calendar Strategy: Fed Days

UPDATE: I was pointed out a problem with original post due to look ahead bias introduced by prices > SMA(prices,100) statement. In the calendar strategy logic I did not use a usual lag of one day because important days are known before hand. However, the prices > SMA(prices,100) statement should be lagged by one day. […]

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The RSelenium R Package (Free Webinar)

May 6, 2014
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The RSelenium R Package (Free Webinar)

The Orange County R User Group (OC-RUG) will soon host a free webinar on the new “RSelenium” R Package which provides a set of R bindings for the Selenium 2.0 webdriver using the JsonWireProtocol. Using RSelenium, you can automate web … Continue reading →

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Mycoplasma Contamination in Cell-Line Based Experiments

May 6, 2014
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Mycoplasma Contamination in Cell-Line Based Experiments

For a few years now, my EvoSTAR colleague, Bill Langdon, has been exploring the degree to which Mycoplasma bacteria have contaminated experimental systems and even "infected" online databases with the contents of their genomes.  He and his colleag...

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Survey of Code Written to Date

May 6, 2014
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Survey of Code Written to Date

Using code from this great post I have been able to construct some tables illustrating how much code I have written for this blog since 2012 (note install.packages("reshape") and install.packages("reshape") might be necessary).The top left plot shows n...

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Priors I don’t believe

May 6, 2014
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Biostatistician Jeff Leek writes: Think about this headline: “Hospital checklist cut infections, saved lives.” I [Leek] am a pretty skeptical person, so I’m a little surprised that a checklist could really save lives. I say the odds of this being true are 1 in 4. I’m actually surprised that he’s surprised, since over the years […] The post Priors I don’t believe appeared first on Statistical Modeling, Causal Inference, and…

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Predictive Modeling, Causal Inference, and Imbens-Rubin (Among Others)

May 6, 2014
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When most people (including me) say predictive modeling, they mean non-causal predictive modeling, i.e., addressing questions of "What will likely happen if the gears keep grinding in the usual way"? Examples are ubiquitous and tremendously important i...

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Beyond the surface of poll numbers

May 6, 2014
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This Upshot piece about increasing prevalence of tattoos in the U.S. linked to a Fox News Poll, summarized here by Fox News reporters. The statistics say that 20% of voters haves at least one tattoo, up from 13% in 2007. Fourteen percent haves two or more tattoos, up from 8%. The problem with poll result reporting are many. Let me count them: How should we interpret those numbers? One thing…

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Customising lines and points with googleVis

May 6, 2014
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Customising lines and points with googleVis

At the end of March Google released a new version of the Chart Tools API with new options for point shapes and line brushes. The arguments are called pointShape and lineDashStyle and can be set directly via googleVis. We published googleVis 0.5.2 on CR...

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Le Monde puzzle [#865]

May 5, 2014
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Le Monde puzzle [#865]

A Le Monde mathematical puzzle in combinatorics: Given a permutation σ of {1,…,5}, if σ(1)=n, the n first values of σ are inverted. If the process is iterated until σ(1)=1, does this always happen and if so what is the maximal  number of iterations? Solve the same question for the set {1,…,2014}. I ran the following basic R […]

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Can we make better graphs of global temperature history?

May 5, 2014
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Can we make better graphs of global temperature history?

Chris Gittins sends along this post by Gavin Schmidt, who writes: Some editors at Wikipedia have made an attempt to produce a complete record for the Phanerozoic: But these collations are imperfect in many ways. On the last figure the time axis is a rather confusing mix of linear segments and logarithmic scaling, there is […] The post Can we make better graphs of global temperature history? appeared first on…

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On deck this week

May 5, 2014
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Mon: Can we make better graphs of global temperature history? Tues: Priors I don’t believe Wed: Cause he thinks he’s so-phisticated Thurs: Discussion with Steven Pinker on research that is attached to data that are so noisy as to be essentially uninformative Fri: Combining forecasts: Evidence on the relative accuracy of the simple average and […] The post On deck this week appeared first on Statistical Modeling, Causal Inference, and…

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JHU Data Science: More is More

May 5, 2014
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Today Jeff Leek, Brian Caffo, and I are launching 3 new courses on Coursera as part of the Johns Hopkins Data Science Specialization. These courses are Exploratory Data Analysis Reproducible Research Statistical Inference I'm particularly excited about Reproducible Research, not … Continue reading →

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7 R Quirks That Will Drive You Nutty

May 5, 2014
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7 R Quirks That Will Drive You Nutty

7 R Quirks That Will Drive You Nutty StumpedEvery language has its idiosyncrasies. Some “designer”“ type languages have less due to extreme thoughtfulness of language engineers. I suspect Julia for example has many less quirks. However, despite its quirkiness R has become an amazingly flexible resource for a diverse range of tasks with thousands of packages and over 100,000 available commands (Rdocumentation.org) in subject matter as diverse as Pharmacokinetics, to…

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On deck this month

May 5, 2014
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Can we make better graphs of global temperature history? Priors I don’t believe Cause he thinks he’s so-phisticated Discussion with Steven Pinker on research that is attached to data that are so noisy as to be essentially uninformative Combining forecasts: Evidence on the relative accuracy of the simple average and Bayesian model averaging for predicting […] The post On deck this month appeared first on Statistical Modeling, Causal Inference, and…

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Going overboard with simplicity

May 5, 2014
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Going overboard with simplicity

Today I look at an unlikely oversight by the New York Times: I think they tried to simplify the scale but ended up making a mess. Tufte preaches getting rid of all unnecessary ink but sometimes, you go overboard. ***...

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Blanks and lengths: Understanding SAS/IML character vectors

May 5, 2014
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Blanks and lengths: Understanding SAS/IML character vectors

SAS programmers are probably familiar with how SAS stores a character variable in a data set, but how is a character vector stored in the SAS/IML language? Recall that a character variable is stored by using a fixed-width storage structure. In the SAS DATA step, the maximum number of characters […]

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Stan (& JAGS) Tutorial on Linear Mixed Models

May 4, 2014
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Shravan Vasishth sent me an earlier draft of this tutorial he co-authored with Tanner Sorensen. I liked it, asked if I could blog about it, and in response, they’ve put together a convenient web page with links to the tutorial PDF, JAGS and Stan programs, and data: Fitting linear mixed models using JAGS and Stan: […] The post Stan (& JAGS) Tutorial on Linear Mixed Models appeared first on Statistical…

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Honored oldsters write about statistics

May 4, 2014
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The new book titled: Past, Present, and Future of Statistical Science is now available for download. The official description makes the book sound pretty stuffy: Past, Present, and Future of Statistical Science, commissioned by the Committee of Presidents of Statistical Societies (COPSS) to celebrate its 50th anniversary and the International Year of Statistics, will be […] The post Honored oldsters write about statistics appeared first on Statistical Modeling, Causal Inference,…

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New jobs in business analytics at Monash

May 4, 2014
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New jobs in business analytics at Monash

We have an exciting new initiative at Monash University with some new positions in business analytics. This is part of a plan to strengthen our research and teaching in the data science/computational statistics area. We are hoping to make multiple appointments, at junior and senior levels. These are five-year appointments, but we hope that the positions will continue after that if we can secure suitable funding. What is business analytics?…

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Choropleths and Bar charts of State Wise Potentially Preventable Deaths using googleVis and shiny

May 4, 2014
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UPDATE: THE BLOG/SITE HAS MOVED TO GITHUB. THE NEW LINK FOR THE BLOG/SITE IS patilv.github.io and THE LINK TO THIS POST IS: http://bit.ly/1mcofpp. PLEASE UPDATE ANY BOOKMARKS YOU MAY HAVE.

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European MEP Data

May 4, 2014
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European MEP Data

Pretty soon we will be having European Elections. I cannot tell when exactly, that depends on country. Over here the elections get a some attention, which is how I ran into data from votewatch.eu on voting of MEPs. That was just too interesting, so I m...

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GrubHub’s Phasmid Websites

May 4, 2014
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GrubHub’s Phasmid Websites

The rationale behind mining business data directly from the business's own website is that the business has a clear economic motivation to ensure that the data is up to date. If you own a restaurant that changes location, and your...

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Jeffreys’ Substitution Posterior for the Median: A Nice Trick to Non-parametrically Estimate the Median

May 4, 2014
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Jeffreys’ Substitution Posterior for the Median: A Nice Trick to Non-parametrically Estimate the Median

While reading up on quantile regression I found a really nice hack described in Bayesian Quantile Regression Methods (Lancaster & Jae Jun, 2010). It is called Jeffreys’ substitution posterior for the median, first described by Harold Jeffreys i...

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