Financial Data Accessible from R – part II

October 30, 2013
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I updated my initial post with two new sources of data and the associated R packages: Datastream and PWT. I also added the fImport package from Rmetrics. Following a reader suggestion, I made the initial table  more interactive, moved  the data description and package detail below the main table and updated them. Enjoy! Source R […]

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Fellow me

October 29, 2013
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Last summer I have applied for a NIHR Research Methods fellowship. Earlier this week the results have come out and they have liked my proposal, which is of course great news. The idea of this project is to critically evaluate the stepped...

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Linguistics, meet Evolutionary Biology

October 29, 2013
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Linguistics, meet Evolutionary Biology

One of the things that I love about my field is the indiscriminate adoption of techniques from other fields. Statistics, computer science, neuroscience, and linguistics are most commonly drawn upon, but no field, no matter how seemingly irrelevant, is off limits. While working on and doing research for my pet project of making a robust »more

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How to participate in #futureofstats Unconference

October 29, 2013
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Tomorrow is the Unconference on the Future of Statistics from 12PM-1PM EDT. There are two ways that you can get in the game: Ask questions for our speakers on Twitter with the hashtag #futureofstats. Don't wait, start right now, Roger, … Continue reading →

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My talk in Amsterdam tomorrow (Wed 29 Oct): Can we use Bayesian methods to resolve the current crisis of statistically-significant research findings that don’t hold up?

October 29, 2013
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The talk is at the University of Amsterdam in the Diamantbeurs (Weesperplein 4, Amsterdam), room 5.01, at noon. Here’s the plan: Can we use Bayesian methods to resolve the current crisis of statistically-significant research findings that don’t hold up? In recent years, psychology and medicine have been rocked by scandals of research fraud. At the […]The post My talk in Amsterdam tomorrow (Wed 29 Oct): Can we use Bayesian methods…

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Tukey Talks Turkey #futureofstats

October 29, 2013
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I've been digging up old "future of statistics" writings from the past in anticipation of our Unconference on the Future of Statistics this Wednesday 12-1pm EDT. Last week I mentioned Daryl Pregibon's experience trying to build statistical expertise into software. … Continue reading →

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An interview, and a talk

October 29, 2013
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For those in New York, I'll give a talk tonight at NYU's main library. Details are here. If you're not affiliated with NYU, please make sure you RSVP to put yourself on the guest list. The talk covers what is meant by Big Data, why you need numbersense, and several examples of using numbersense to interpret data analyses. Click here for more details. *** For those who aren't in New…

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High resolution graphics with R

October 29, 2013
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High resolution graphics with R

For most purposes PDF or other vector graphic formats such as windows metafile and SVG work just fine. However, if I plot lots of points, say 100k, then those files can get quite large and bitmap formats like PNG can be the better option. I just have t...

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Updates for Proportional Minimum Variance and Adaptive Shrinkage methods

October 29, 2013
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Updates for Proportional Minimum Variance and Adaptive Shrinkage methods

I create supporting pages for two projects I have collaborated with David Varadi in 2013: Proportional Minimum Variance Algorithm Adaptive Shrinkage Method Please check the links to get more info, including supporting blog posts, back-tests, R code to reproduce the back-tests, and more to come in the near future. I and David appreciate your feedback […]

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Cont model – Part II

October 28, 2013
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Cont model – Part II

In my last post I have investigated properties of Cont model (you can download the paper here). Today I would like to show how we can use simulations to further simplify its analysis.First let us start with the observation that the model does not reall...

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Call them what you will

October 28, 2013
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I’ve been playing around with the R package texreg for creating combined regression tables for multiple models. It’s not the only package to do that – see here for a review – but it’s often handy to be able to generate both ascii art, latex, and html versions of the same table using almost identical […]

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Mother Nature makes fools of Statisticians

October 28, 2013
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The most dispiriting thing I’ve read in a while was this post by John Cook involving coin flips. The discussants are certain they have all the puzzle pieces and all that remains is to arrange them with the right prose. There’s not even a hi...

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Simply Statistics Future of Statistics Speakers – Two Truths, One Lie #futureofstats

October 28, 2013
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Our online conference live-streamed on Youtube is going to happen on October 30th 12PM-1PM Baltimore (UTC-4:00) time. You can find more information here or sign up for email alerts here. I get bored with the usual speaker bios at conferences so I … Continue reading →

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Writing for free

October 28, 2013
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Max Read points to discussions by Cord Jefferson and Tim Krieger about people who write for free, thus depressing the wages of paid journalists. The topic interests me because I’m one of those people who writes for free, all the time. As a commenter wrote in response to Cord Jefferson’s article: It’s not just people […]The post Writing for free appeared first on Statistical Modeling, Causal Inference, and Social Science.

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Analysis of #ASHG2013 Tweets

October 28, 2013
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Analysis of #ASHG2013 Tweets

I archived and anlayzed all Tweets with the hashtag #ASHG2013 using my previously mentioned code.Number of Tweets by date shows Wednesday was the most Tweeted day:The top used hashtags other than #ASHG2013:The most prolific users:And what Twitter analy...

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Light entertainment: bold paint flowing down

October 28, 2013
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Light entertainment: bold paint flowing down

Oh, Andrew Sullivan selected this as Chart of the Day a few weeks ago (link): Too bad the content was good.

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How to order categories in a two-way table with PROC FREQ

October 28, 2013
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How to order categories in a two-way table with PROC FREQ

If you've ever tried to use PROC FREQ to create a frequency table of two character variables, you know that by default the categories for each variable are displayed in alphabetical order. A different order is sometimes more useful. For example, consider the following two-way table for the smoking status [...]

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De la significativité (statistique), suite

October 28, 2013
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De la significativité (statistique), suite

Suite à mon rapide billet sur l’article donnant les conclusions d’une étude des effets de la e-cigarette (et la comparaison avec le patch pour arrêter de fumer), j’avais entendu cette phrase “ça veut dire quoi ‘statistiquement non significatif’ ?“. Comme c’est une très bonne question, qui plus est relativement complexe, j’ai pris un peu de temps pour y répondre… Il ne s’agit pas de complexité mathématique, en s’entend car tous…

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Report from IEEE VIS 2013 in Atlanta, GA

October 28, 2013
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Report from IEEE VIS 2013 in Atlanta, GA

There were parties, papers, and presentations. The keynote involved ramen, the capstone cited Rams. Lies were told, we watched stories unfold, and stacked bars of gold. The first IEEE VIS took place inside a giant alien, and the dinosaurs were particularly memorable. This was technically the first IEEE VIS, though the conference has been around for […]

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DIY Kruschke Style Diagrams

October 27, 2013
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DIY Kruschke Style Diagrams

I argued recently that a good way of communicating statistical models graphically was by using the convention devised by John K. Kruschke in his book Doing Bayesian Data Analysis. John Kruschke describes these diagrams in more detail on his blog: her...

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Sunday data/statistics link roundup (10/27/13)

October 27, 2013
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Pubmed Commons is a new post-publication commenting system. I think this is a great idea and I hope it succeeds. Right now it is in "private beta" so only people with Pubmed Commons accounts can post/view comments. But you can … Continue reading →

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Statistics + Journalism = Data Journalism ?

October 27, 2013
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Statistics + Journalism = Data Journalism ?

Statistics+journalism=data journalism is not the full truth. The equation may make sense because statistics are the most important source for data …Continue reading →

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Statistics + Journalism = Data Journalism ?

October 27, 2013
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Statistics + Journalism = Data Journalism ?

Statistics+journalism=data journalism is not the full truth. The equation may make sense because statistics are the most important source for data …Continue reading →

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