This article lists the steps I take to create a network animation in R, provides some example source code that you can copy and modify for your own work, and starts a discussion about programming and visualization as an interpretive approach in research. Before I start, take a look at this network animation created with
In 1998, John Chambers won the ACM Software Systems award for the S language, which the ACM heralded as having "forever altered how people analyze, visualize, and manipulate data". The R language is "not unlike S", and John continues pushing the frontiers of statistical computing as a member of the R Core Group. Ang his legacy continues in another...
Here I demonstrate a simple way to code Conway's game of life (GoL) in R and to produce the animation above. Cellular automata in R are usually painfully slow if you iterate through all grid cells in an array. A … Continue reading →
I was wondering about the null distribution of successive differences of random sequences, and decided to do some numerical experiments. I quickly realized that successive differences equates to taking successively higher-order numerical derivatives, ...
We all know that the odds of flipping an unbiased coin is 50% heads, 50% tails. But what happens if you do this a lot of times. Do you expect the same number of heads and tails? What if we took a cumulative sum where heads = +1 and tails = -1. What wou...
We all know that the odds of flipping an unbiased coin is 50% heads, 50% tails. But what happens if you do this a lot of times. Do you expect the same number of heads and tails? What if we took a cumulative sum where heads = +1 and tails = -1. What wou...
In part inspired by the chart described in The electoral map sans the map, I thought I’d start mulling over a quick sketch showing the race to the 2012 Formula One Drivers’ Championship. The chart needs to show tension somehow, so in this first really quick and simple rough sketch, you really do have to 
I am working on a project with the Rizzo Lab examining the dynamics of Sudden Oak Death (SOD). I really have to write more about this, but today I’m just going to post the results of an initial exercise.
Here I attempt to replicate model results from Cobb et al. (2012). The model in that paper simulates...
Data visualizations are useful for exploratory work and as an aid in communicating findings. Data visualizations also seem to be in demand these days as a kind of eye candy for capturing attention. But when we look at one engaging enough to hold our attention, we want to know what it means. In other words,
I like to explore the graphics features of R. Base graphics, ggplot2 are my favourites. On other graphics packages, I haven’t used plotrix much. I am currently exploring grid package. Raptor First one is using ggplot2. (you could also do … Continue reading →
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Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
