Monthly Archives: December 2013

Evaluating Quandl Data Quality – part II

December 2, 2013
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Evaluating Quandl Data Quality – part II

This post is a more in depth analysis of Quandl futures data vs. Bloomberg data. Since my last post Quandl has updated its futures database to 200+ contracts from 68 contracts originally. For practical reasons, I limit myself here to the initial list of 60+ contracts. I’m still comparing the “Front Month” contract between the

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Recent Rcpp talks at U Chicago / Booth and U Kansas

December 1, 2013
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In early October, I had an opportunity to talk about Rcpp and RcppArmadillo at the Statistical Computing Seminar at the Booth School of Business at the University of Chicago. And then two weeks ago, I had an invitation to talk at the Center for Re...

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24 Days of R: Day 1

December 1, 2013
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24 Days of R: Day 1

Last year, the good people at is.R() spent December publishing an R advent calendar. This meant that for 24 days, every day, there was an interesting post featuring analysis and some excellent visualizations in R. I think it's an interesting (if very challenging) exercise and I'm going to try to do it myself this year.

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R: Explore ARIMA(2, 2, 2) subclass family on Shiny

December 1, 2013
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R: Explore ARIMA(2, 2, 2) subclass family on Shiny

I've been thinking that it might be better to explore the Box-Jenkins ARIMA (Autoregressive Integrated Moving-Average) three-iterative modelling on Shiny. So here is what I got, this app is intended for ARIMA(2, 2, 2) subclass family only.The app has s...

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Read line by line of a file in R

December 1, 2013
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Are you using R for data manipulation for later use with other programs, i.e., a workflow something like this:read data sets from a disk,modify the data, andwrite it back to a disk.All fine, but of data set is really big, then you will soon stumble on ...

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Ensemble, Part2 (Bootstrap Aggregation)

December 1, 2013
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Ensemble, Part2 (Bootstrap Aggregation)

Part 1 consisted of building a classification tree with the "party" package.  I will now use "ipred" to examine the same data with a bagging (bootstrap aggregation) algorithm. > library(ipred)> train_bag = bagging(class ~ ., data=train, coob...

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A few random things

December 1, 2013
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Tutorials from the IV Jornadas de usuarios de R.

December 1, 2013
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Tutorials from the IV Jornadas de usuarios de R.

The “IV Jornadas de usuarios de R”  were held in Barcelona on November 15th and 16th of 2012. From the Barcelona’s Users Group (RugBcn) we want to highlight two workshops given by some of the RugBcn’s organizers : Ggplot2 and ggmaps by Lluís Ramon, Andreu Valls and Roger Borràs (in spanish). Introduction to reference classes by Aleix

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JAGS model Fe concentration in rainwater including values below detection level

December 1, 2013
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JAGS model Fe concentration in rainwater including values below detection level

In my previous post I ignored the fact that some data are below the detection level. I would not know how to handle those in a mixed model from lme4 or nlme. However, JAGS can handle these values. Next to that I kept the usual independent variables, su...

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More Explorations with catR

December 1, 2013
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More Explorations with catR

# For the purposes of simulating computerized adaptive tests# the R package catR is unparallelled. # catR is an excellent tool for students who are curious about# how a computerized adaptive test might work. It is also useful# for testing companie...

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