Monthly Archives: July 2010

R and Oracle HR Part II – Plotting a single variable

July 9, 2010
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R and Oracle HR Part II – Plotting a single variable

If you have not done so already, make sure you have R and Oracle setup as described in the previous article.  If so, you should be able to create a connection from R and list the tables that are available in the HR schema.library('RODBC')ch <-o...

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Les estivales 2010

July 9, 2010
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Les estivales 2010 ont commencées à montpellier.

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Chatfield’s Plots in S-Plus

July 9, 2010
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Chatfield’s Plots in S-Plus

I have recently finished reading the sixth edition of The Analysis of Time Series: An Introduction by Chatfield in our Statistics reading group. Whilst enjoying most of the book I got a little confused when looking at Appendix D: Some … Continue reading →

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Funny Math in Governor Approval Ratings

July 9, 2010
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Andrew Gelman wrote today about some erroneous U.S. Governor approval ratings, noting that the ratings for Janet Napolitano sum to 108%. In fact most of these ratings do not sum to 100%. I prepared a clean CSV file of the ratings, making use of R‘s XML library and the readHTMLTable function. The ratings data file

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World Bank data plots

July 9, 2010
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World Bank data plots

Couple of weeks ago, I was looking for interesting data sets to play with using R. I came across this post and got inspired to use World Bank data to extract interesting patterns/facts about developing countries. World Bank has 300+ World Development i...

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100 Prisoners, 100 lines of code

July 9, 2010
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100 Prisoners, 100 lines of code

In math and economics, there is a long, proud history of placing imaginary prisoners into nasty, complicated scenarios. We have, of course, the classic Prisoner’s Dilemma, as well as 100 prisoners and a light bulb. Add to that list the focus of this post, 100 prisoners and 100 boxes. In this game, the warden places

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TripleR/ BlockR: Working on mixed effect models …

July 9, 2010
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TripleR/ BlockR: Working on mixed effect models …

At the moment I’m working on the implementation of full block designs (e.g., every member of group A rates each member from group and vice versa. A typical example is speed dating: every man rates each woman and vice versa). These designs can be analyzed with mixed effect models, and now I’m a bit confused

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Core in CiRM [2]

July 8, 2010
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Core in CiRM [2]

We are making slow progress on the normal and regression chapters as we decided to write the package at the same time we revise the chapters… Jean-Michel transformed the variable selection and model choice R codes of the regression chapter into generic functions that will fit within the package. I rewrote the section on testing,

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Just updated the list of the new blog de…

July 8, 2010
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Just updated the list of the new blog de…

Just updated the list about the new blog design and purpose. Hope it will prove useful.

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Competition: Predicting traffic

July 8, 2010
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Here's an interesting competition that may well lend itself to R: the IEEE International Conference on Data Mining is running a contest to find the best way of predicting traffic problems. There are three separate contests: Predicting congestion: a series of measurements from 10 selected road segments is given and the goal is to make short-term predictions of future...

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