Monthly Archives: May 2013

Rmagic, A Handy Interface Bridging Python and R

May 31, 2013
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Rmagic, A Handy Interface Bridging Python and R

Rmagic (http://ipython.org/ipython-doc/dev/config/extensions/rmagic.html) is the ipython extension that utilizes rpy2 in the back-end and provides a convenient interface accessing R from ipython. Compared with the generic use of rpy2, the rmagic extension allows users to exchange objects between ipython and R in a more flexible way and to run a single R function or a block

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How logistic regression work ?

May 31, 2013
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How logistic regression work ?

Discussing with a non statistician colleague, it seems that the logistic regression is not intuitive; Some basics questions like : - Why don't use the linear model? - What's logistic function? - How can we compute by hand, step by step t...

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Generating Nice Looking Tree Diagrams in R

May 31, 2013
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Generating Nice Looking Tree Diagrams in R

This function generates nice looking tree diagrams (see sample) below from tree objects (generated by package tree). This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option)

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Using the rasterVis package for raster plotting (in R)

May 31, 2013
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Using the rasterVis package for raster plotting (in R)

Here is a post discussing the possibilities of the rasterVis package: http://rpubs.com/Lionel/6374Filed under: R and Stat Tagged: R, raster

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Snowfall

May 31, 2013
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Snowfall

Yesterday I had a short post reminding EViews users that their package (versions 7 or 8) will access all of the cores on a multi-core machine. I've been playing around with parallel processing in R on my desktop machine at work over the last few days. It's something I've been meaning to do...

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The arteries of the world, in Tweets

May 31, 2013
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The arteries of the world, in Tweets

What happens when you plot billions of geotagged Tweets on a map? You can see the arteries of the world. Here's Europe: According to creator Miguel Rios (Engineering Manager, Data Visualization at Twitter), the dots on this chart represent every geotagged Tweet since 2009. The color represents number of tweets in the region, and the intensity shows where people...

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Are parallel computations worth it ?

May 31, 2013
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Are parallel computations worth it ?

Yesterday, Daniel Marcelino published an interesting post on his blog, untitled Parallel Processing: When does it worth ? I was asking myself the same question for a chapter I am currently writing. And I did like his approach, so I tried, on my computer to do the same. I did use three packages to run parallel R codes, >...

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Visualizing a One-Way ANOVA using D3.js

May 31, 2013
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A while ago I was playing around with the JavaScript package D3.js, and I began with this visualization—that I never really finished—of how a one-way ANOVA is calculated. I wanted to make the visualization interactive, and I did integrate some interactive elements. For instance, if you hover over a data point it will show the residual, and its value will be highlighted in...

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Regression regularization example

May 31, 2013
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Regression regularization example

Recently I needed a simple example showing when application of regularization in regression is worthwhile. Here is the code I came up with (along with basic application of parallelization of code execution). Assume you have 60 observations and 50 expla...

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accurate ABC: comments by Oliver Ratman [guest post]

May 31, 2013
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accurate ABC: comments by Oliver Ratman [guest post]

Here are comments by Olli following my post: I think we found a general means to obtain accurate ABC in the sense of matching the posterior mean or MAP exactly, and then minimising the KL distance between the true posterior and its ABC approximation subject to this condition. The construction works on an auxiliary probability

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