While the US's Major League Soccer is using advanced analytics to analyze ball movement and improve team composition, they might want to think about a smaller, but possibly more impactful, goal for analytics. Like, how to explain to an American audience what a 1-2 game means to a basketball or baseball fan not familiar with scoring in the beautiful...
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How to Convert Rugby into Football/Soccer Scores
Following the Irish rugby team’s humiliating 60-0 defeat to New Zealand, an interesting question was posed on Twitter: what does a 60-0 result convert to in football/soccer? Intrigued, I decided to gather some data from both the English premier league (this season, more data collected and future blog posts to come!) and the equivalent English 
Time-Series Policy Evaluation in R
Quantifying the success of government policies is clearly important. Randomized control trials, like those conducted by drug companies, are often described as the ‘gold-standard’ for policy evaluation. Under these, a policy is implemented in/to one area/group (treatment), but not in/to another (control). The difference in outcomes between the two areas or groups represents the effectiveness 
Emulating local static variables in R
Recently I was writing a code allowing to plot multiple ggplot2 plots on one page. I wanted to replicate standard behavior of plot function that plots graphs in sequence according to mfrow/ mfcol option in par...
Functions ddply and melt make plotting summary stats in R more tolerable
The main reason why I have usually chosen to use excel to make my plots at work is because I had difficulty feeding the summary stats in R into a plotting function. One thing I learned this week is how … Continue reading →
Plotting data and distribution simultaneously (with ggplot2)
Ever wanted to see at a glance the distribution of your data across different axes? It happens often to me, and R allows to build a nice plot composition - This is my latest concoction. I used ggplot2 here, but equivalent graphics can be made...
Porting cdplot to ggplot2
Last week I published a post on plotting tables in ggplot2. So the next natural step is to port cdplot to allow simple visualization of categorical variables against a numerical predictor.First part of the story covers binary variables. In th...
playitbyr 0.2-1: data through sound, now with layers, facets, and more pleasure
The recent Sonification Handbook has a chapter devoted to exploratory data analysis using sound. With some help from Sam Ferguson, one of the chapter's authors, I've made it easy to implement those techniques using R with playitbyr.
Reproducible Research: Export Regression Table to MS Word
Here's a quick tip for anyone wishing to export results, say a regression table, from R to MS Word:require(R2wd)# install packages required# install software RCOM, RDCOMClient # (I had to restart the R-Session after the above step to get it work)wdGet(...
Use file.choose to customize output filenames in R functions
In this post, I want to address the following issue: several data files with a common trame have to be dealt with by an R function. The function should export files (such as images or data files or any other file type). I explain how to create filenames such that the function automatically exports files in the same directory...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
