Monthly Archives: November 2011

Materials of the “LaTeX for Psychological Researchers” course

November 23, 2011
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I have given a course on using LaTeX for psychological researchers. This course consisted of four lectures in which I discussed the following subjects: how to obtain a LaTeX distribution How to use LaTeX to write professional scientific reports How to use … Continue reading →

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Prague Half Marathon Ranking: 2% or 25% missing?

November 23, 2011
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Prague Half Marathon Ranking: 2% or 25% missing?

I am a regular participant of Prague International Half Marathon. In a mass event like this the horde of runners needs a long time to reach the starting line. To make the times mutually comparable the “start time” is measured and afterwards subtracted from the “finish time”. Also the crowd is organized to corridors in such...

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An R function to analyze your Google Scholar Citations page

November 23, 2011
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An R function to analyze your Google Scholar Citations page

Google scholar has now made Google Scholar Citations profiles available to anyone. You can read about these profiles and set one up for yourself here. I asked John Muschelli and Andrew Jaffe to write me a function that would download my Google Scholar...

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Updating CODA – a possible post-doctoral project

November 23, 2011
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Updating CODA – a possible post-doctoral project

If you are looking for a post-doctoral position in statistical computing in 2012 then you may be able to help me with rewriting the coda package for R.  But if you are interested, you don’t have much time to apply.The … Continue reading →

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Volume by Price Charts using R

November 23, 2011
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Volume by Price Charts using R

R-Bloggers is a wonderful site which offers some great ideas for analysis.While I have been busy of late, hence could not do much with R, I was inspired by this post by Eric Nguyen on Volume by Price chart. This chart can be used with a great effe...

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Why we need to deal with big data in R

November 22, 2011
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Responding to the birth rates analysis in the post earlier this week on big-data analysis with Revolution R Enterprise, Luis Apiolaza asks at the Quantum Forests blog, do we really need to deal with big data in R? My basic question is why would I want to deal with all those 100 million records directly in R? Wouldn’t it...

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Misleading Statistics: Too much risk without a financial adviser?

November 22, 2011
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Misleading Statistics: Too much risk without a financial adviser?

This popular article references a report by financial consulting firms that makes a fairly convincing argument (even though they mostly neglect inferential statistics, and some parts of their argument are misleading, or otherwise not convincing) that 401(k) participants who accept "help" from financial experts take less risk and have better returns than those who do

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Magical RUT with GIST

November 22, 2011
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Magical RUT with GIST

In search of better ways to post my R code, I finally discovered how GIST can help make my R blogging easier.  I know I am way behind, and I apologize to my loyal readers for my shortcomings.  Here is yesterday’s Magical Russell 2000 code u...

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Time series cross-validation 2

November 22, 2011
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Time series cross-validation 2

In my previous post, I shared a function for parallel time-series cross-validation, based on Rob Hyndman's code.  I thought I'd expand on that example a little bit, and share some additional wrapper functions I wrote to test other forecasting&nbsp...

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Example 9.15: Bar chart with error bars ("Dynamite plot")

November 22, 2011
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Example 9.15: Bar chart with error bars ("Dynamite plot")

The "dynamite plot", a bar chart plotting the a mean with a error bar, is one of the most reviled types of image among statisticians. Reasons to dislike them are numerous, and are nicely summarized here. (Edward Tufte also suggests they be avoided.) ...

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