Imagine you have a sequence of snapshots from a day in Justin Bieber’s life, and you want to label each image with the activity it represents (eating, sleeping, driving, etc.). How can you do this? One way is to ignore the sequential nature of the snapshots, and build a ... [Read more...]

This is the first lesson of CloudStat School, Lesson 1: Overview of R Language & CloudStat School. The objective of this lesson is introducing R Language and how you can be a R programmer or a data analyst through CloudStat School. At the end of this l... [Read more...]

One of my Christmas presents was the book Beautiful Visualization. Chapter 8 by Andrew Odewahn is a very nice piece on visualizing the U.S Senate social graph. Odewahn basically builds an affinity network, where ties represent whether two senator have ... [Read more...]

Hello, folks its time to cover some important econometrics tests you can do in R.The Akaike information criterion is a measure of the relative goodness of fit of a statistical model.  If you have 10 models and order them by AIC, the... [Read more...]

Here is a little example of what I do. While learning R isn't easy, it can be very powerful and efficient once you get your feet wet. I intend for this example to whet  your appetite. This should take you less than 20 minutes. By the end, you will... [Read more...]

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Since 4th September 2010 we have had over 2,800 quakes (considering only magnitude 3+) in Christchurch. Quakes come in swarms, with one or few strong shocks, followed by numerous smaller ones and then the ocasional shock, creating an interesting data … Continue reading → [Read more...]

A review of market predictions and results for 2011, and a calibration for 2012 predictions (of 19 equity indices plus oil). Previously One year ago the post “Revised market prediction distributions” presented plots showing the variability of various markets assuming no market-moving forces. The follow-up post “Some market predictions enhanced some of those ... [Read more...]

CloudStat School is a not yet released open source project. The objective is to create an interactive R Learning Platform. The best way to learn R programming is doing while learning. In CloudStat School, you will see a console box at your top left han... [Read more...]

  Some days ago the journal Renewable Energy published my last paper “Cost of energy and mutual shadows in a …Continuar leyendo » [Read more...]

My last post discussed a method to decode a substitution cipher using a Metropolis-Hastings algorithm. It was brought to my attention that this code could be improved by using Simulated Annealing methods to jump around the sample space and avoid some of the local maxima. Here is a basic description ... [Read more...]

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R-bloggers.com is now two years young. The site is an (unofficial) online R journal written by bloggers who agreed to contribute their R articles to the site. In this post I wish to celebrate R-bloggers’ second birthmounth by sharing with you: Links to the top 20 posts of 2011 Statistics on “... [Read more...]

In post 6 we introduced some econometrics code that will help those working with time-series to gain asymptoticly efficient results.  In this post we look at the different commands and libraries necessary for testing our assumptions and such. Testing our Assumptions and Meeting the Gauss-Markov TheoremIn this section we will seek ... [Read more...]

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RTextTools v1.3.5 addresses some key concerns that have been raised in recent months. Many of the algorithms used in RTextTools require that any new data presented to a trained classifier contain the same features as the original document-term matrix. Since this rarely (if ever) happens in the real world, I ... [Read more...]

Well, here we go again! It's time of year that we make all of those resolutions - the ones that usually get broken before the holiday decorations have been packed away. Not this year, though!In 2012, and in no particular order, I firmly resolve to:Increase my use of the ... [Read more...]