After the recent foray into stock analysis using quantmod, I thought it worthwhile to mention that the library can be used to analyze a wide variety of investments, including precious metals. It is also worthwhile to mention that there are other ...
Ever since I first looked at this NYT visualization by Amanda Cox, I’ve always wanted to reproduce this in R. This is a plot that stacks multiple time series onto one another, with the width of the river/ribbon/hourglass representing the strength at each time. The NYT article used box office revenue as the width of 
Here's another great example of R being used to analyze sports data. Statistician and skier Joran Elias has started a project to analyze and visualize international cross country ski racing results, and he publishes his analysis at the blog Statistical Skier. All of the analyses are done using R (and for data, SQLite via the RSQLite package). As much...
We have a mild obsession with employee productivity and how that declines as companies get bigger. We have previously found that when you treble the number of workers, you halve their individual productivity which is mildly scary.
We revisit the analysis for the...
We have a mild obsession with employee productivity and how that declines as companies get bigger. We have previously found that when you treble the number of workers, you halve their individual productivity which is mildly scary.
We revisit the analysis for the...
(Written by Ian Fellows) Below is a link to the first of a weekly (or bi-weekly) screen-cast vlog of my progress building a GUI for the ggplot2 package. http://neolab.stat.ucla.edu/cranstats/gsoc_vlog1.mov comments and suggestions are more than welcome, and can e-mailed to me at: [email protected]
At AIPL, we’ve been posting Manhattan plots of the marker effects for each breed-trait combination with each official release of our genomic predictions. For example, consider the plot of lifetime net merit for Holsteins from the April, 2010 run: These … Continue reading →