Monthly Archives: January 2011

Hard drive occupation prediction with R – part 2

Hard drive occupation prediction with R – part 2

On the first article, we saw a quick-and-dirty method to predict disk space exhaustion when the usage pattern is rigorously linear. We did that by importing our data into R and making a linear regression.In this article we will see the problems wit...

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Volcanic Solar Dimming, ENSO and Temperature Anomalies

January 21, 2011
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Volcanic Solar Dimming, ENSO and Temperature Anomalies

In previous posts I have shown plots of global temperature anomaly, volcano and Nino34 trends (here , here). In this post , I want to further  explore the role of volcanic eruptions and Nino34 phases (El Nino, La Nina) on … Continue reading →

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Learning R through baseball: sab-R-metrics

January 21, 2011
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Learning R through baseball: sab-R-metrics

The words "statistics" and "baseball" are often found near each other, but there's a lot more to statistics than dividing the number of hits by the number of swings to get a batting average. And there's a lot more to sabermetrics -- the statistical analysis of baseball -- than averages, too. Many baseball fans are also stats geeks (and...

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Embedding a time series with time delay in R

January 21, 2011
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Embedding a time series with time delay in R

I’ve recently been looking at Martin Trauth‘s book MATLAB® Recipes for Earth Sciences to try to understand what some of my palaeoceanography colleagues are doing with their data analyses (lots of frequency domain time series techniques and a preponderance of … Continue reading →

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Relationship Between SAT & College Retention

January 21, 2011
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Relationship Between SAT & College Retention

Here is a quick analysis of the relationship between SAT score and student retention. The data is from the Integrated Postsecondary Education Data System (IPEDS) and analyzed using R. This was a quick analysis and would be careful about making any strong conclusions. The source for running this analysis along with some additional graphics that

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Interesting volatility measurement, part 2

January 21, 2011
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Interesting volatility measurement, part 2

A few weeks ago I have mentioned about an interesting volatility prediction. It is based on two periods of historical volatility (standard deviation). The remaining question was – does it really works? I could not give the answer, because I didn’t have VIX futures data at that time. Later on, I was contacted by Brian

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Model for nothing – and the bootstrap for free

January 21, 2011
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Model for nothing – and the bootstrap for free

Reconstructing phylogenies is an interesting task, sadly one that often requires to navigate between a multitude of software. To add an unnecessary layer of complexity to the whole thing, most of these softwares speaks different languages, and requires the user to do endless conversions from fasta to phylip to nexus to whatever new format they

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Disable auto-update from R (Windows)

January 21, 2011
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There are two major threats to complex MCMC estimations:Wrong energy settings (hibernate after 2 hours of inactivity)Automatic Updates (install updates at 3 a.m.)I thought about the latter threat. At times, you may hand some R code to other co-workers,...

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Disable auto-update from R (Windows)

January 21, 2011
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There are two major threats to complex MCMC estimations:Wrong energy settings (hibernate after 2 hours of inactivity)Automatic Updates (install updates at 3 a.m.)I thought about the latter threat. At times, you may hand some R code to other co-workers,...

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Ultraedit to R

January 21, 2011
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My favorite text editor on Windows is Ultraedit, but it does not have a nice interface to R in the same vein as Emacs/ESS, Tinn-R, or Eclipse. (I have never used Eclipse.) Ultraedit is powerful enough to submit whole R programs...

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