Few weeks ago GitHub announced, that its timeline data is available on bigquery for analysis. Moreover, it offers prizes for the best visualization of the data. Despite my art skills and minimal chances to win beauty contest, I decided to crunch GitHub data and run data analysis. After initial trial ... [Read more...]

A very useful way of keeping up with blogs in a particular area is to subscribe to a blog aggregator. These will syndicate posts from a large number of blogs and provide links back to the original sources. So you only need to subscribe once to get all the good ... [Read more...]

[caption id="attachment_318" align="aligncenter" width="900"] A view of the StatET plugin in the Juno Eclipse. The environment is perfect for developing R packages and creating more complex functions.[/caption] I wanted to write about creating R-packages in Windows but after trying to get StatET to work seamlessly in Windows ... [Read more...]

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We had a great Twitter conversation last Thursday on the use of big-data analytics, Revolution R Enterprise, and IBM Netezza in the search for a cure for MS. Many thanks to the other panelists: Murali Ramanathan (SUNY Buffalo), Tim Coetzee (National MS Society) and moderator Shawn Dolley (IBM) for fielding ... [Read more...]

Looking to learn R, or to expand your R skills for data visualization or package development? Here are some R courses presented by the experts you may be interested in: June 19-20: Visualization in R with ggplot2. This course presented by Garrett Grolemund & Dr. Winston Chang of Rice University is ... [Read more...]

A recent arXiv posting of the paper “On the Generalized Ratio of Uniforms as a Combination of Transformed Rejection and Extended Inverse of Density Sampling” by Martino, Luengo, and Míguez from Madrid rekindled my interest in this rather peculiar simulation method. The ratio of uniforms samples uniformly on the ... [Read more...]

This post is a some kind of reply to this one.So our goal is to determine whether our point process is random or not. We will use R and spatstat package in particular. Spatstat provides a very handy function for this, that uses K-function combined with... [Read more...]

Introduction Continuing on with my series on the weaknesses of NHST, I’d like to focus on an issue that’s not specific to NHST, but rather one that’s relevant to all quantitative analysis: the destruction caused by an inappropriate reduction of dimensionality. In our case, we’ll be ... [Read more...]

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A quick tip on how to source R-scripts from a Dropbox-account:(1) Upload the script.. (2) Get link with the "get link" option. The link should look like "https://www.dropbox.com/s/XXXXXX/yourscript.R"..(3) Grab this part "XXXXXX/yourscript.R" and paste... [Read more...]

Bias in Federal Reserve Inflation Forecasts: Christopher Gandrud uses ggplot2 to visualize potential partisan bias in US Federal Reserve inflation forecasts as a PhD student at the London School of Economics. [Read more...]

Here is a simple application to transform text into a beautiful word cloud, Text Mining to WordCloud. The purpose is to find out the highest frequency word in a certain text. It is an app built with R language, the source code is attached at the end of... [Read more...]

Finally, I got round to find some time to work out all the problems in compiling the BCEA (Bayesian Cost-Effectiveness Analysis) package.I developed it as part of the work for the book. In a nutshell, what it does is the following: first, you need to s... [Read more...]

A Poisson process provides a good model for events that happen rarely. That's what von Bortkiewicz realized in 1898 when he modeled deaths by horse kick in Prussian cavalry; since it would be ungentlemanly to actually kill my readers, I instead represent the events in a Poisson process using a horse's ... [Read more...]

Autocorrelation of a time series can be useful for prediction because the most recent observation of the prediction target contains information about future values. At the same time autocorrelation can play tricks on you because many standard statistical methods implicitely assume independence of measurements at different times. The correlation coefficient ... [Read more...]

Next week I’ll present a glimpse of R and ggplot2 graphics at VUW. This is a MESA seminar on ‘Data analysis and plotting with free and open source tools’ where we’ll present spreadsheet alternatives based on gnuplot, Python, an... [Read more...]

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First Post: Welcome to this new blog!!!It's been almost one years that I've started using R as my main programming/analysis tool. I like the fact that so many beautiful graphics can be produced directly within R.Although I often just use the basic func... [Read more...]

Neat demo real of d3 (js & svg powered interactive graphics in the browser).  Hopefully there will be ggplot2 integration one day! [Read more...]