Monthly Archives: September 2012

R courses in Belgium

R courses in Belgium

Every year, the Leuven Statistics Research Center (Belgium) is offering short courses for professionals and researchers in statistics and statistical tools. The following link shows the overview of the courses: http://lstat.kuleuven.be/consulting/shortcourses/ENcourse%20overview.htm or get it here in pdf: http://lstat.kuleuven.be/consulting/shortcourses/BRO_LSTAT_2012-2013.pdf This year, BNOSAC is presenting the course on Advanced R Programming Topics, which will be held on Oktober 18-19. This course...

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Creating Scientific Posters using R, Latex, Beamer and Beamerposter

September 26, 2012
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Creating Scientific Posters using R, Latex, Beamer and Beamerposter

A while ago I had the need to produce some posters that included lots of data (scientific style).  Having recently got back into R and learning LaTex I googled for a way to do this using R.  Here's what I found and ended up with, using R, LaT...

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Using R in production: industry experts share their experiences

September 26, 2012
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I had a great time yesterday moderating the "R in Action" panel discussion at the DataWeek conference in San Francisco. Each of the panelists represented a company that is actively using R and/or Revolution R Enterprise. Here (from memory, since I couldn't take notes) are some the things they shared: Jesse Bridgewater from eBay talked about how R is...

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R Studio and Revolution R impressions

September 26, 2012
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R Studio and Revolution R impressions

I have used R for about six years now. Over the years I’ve done the majority of my coding in Linux and so R has been nothing more than a terminal. I enjoy the simplicity and purity of the terminal but...

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Some regressions on school data

September 26, 2012
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Some regressions on school data

Eric and I have been exchanging emails about potential analyses for the school data and he published a first draft model in Offsetting Behaviour. I have kept on doing mostly data exploration while we get a definitive full dataset, and … Continue reading →

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rasterVis to the rescue

September 26, 2012
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rasterVis to the rescue

Programmers like Oscar Perpiñán Lamigueiro are the reason I love R!  Oscar is the maintainer of the rasterVis package and it in this post I’ll explain why it is must have package for anyone working with the raster package in R.  My latest project is focused on the NOAA’s Climate Reference Network. The details can

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Predict Bounce Rate based on Page Load Time in Google Analytics

September 26, 2012
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Predict Bounce Rate based on Page Load Time in Google Analytics

Welcome to the second part. In the last blog post on Linear Regression with R, we have discussed about what is regression? and how it is used ? Now we will apply that learning on a specific problem of prediction. In this post, I will create a basic model to predict bounce rate as function

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Linear Regression using R

September 26, 2012
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Linear Regression using R

Regression Through this post I am going to explain How Linear Regression works? Let us start with what is regression and how it works? Regression is widely used for prediction and forecasting in field of machine learning. Focus of regression is on the relationship between dependent and one or more independent variables. The “dependent variable”

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Modifying select off-diagonal items in a matrix

September 25, 2012
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This is something I have had the occasion to do, and never remember how, so this is legitimately a reminder to my future self of how to do things with off-diagonal elements of a matrix. Select rows and columns are easy: mat or mat, for...

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Minimum Correlation Algorithm Speed comparison

September 25, 2012
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Minimum Correlation Algorithm Speed comparison

The Minimum Correlation Algorithm is a heuristic method discovered by David Varadi. Below I will benchmark the execution speed of 2 versions of the Minimum Correlation Algorithm versus the traditional minimum variance optimization that relies on solving a quadratic programming problem. I have run the code above for n=10 (10 assets), n=100 (100 assets), n=500

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