This post is the last in a series of four on boxplots and some of their extensions. Previous posts in this series have discussed basic boxplots, modified boxplots based on a robust asymmetry measure, and violin plots, an alternative that essentia...
The doSMP package (and its companion package, revoIPC), previously bundled only with Revolution R, is now available on CRAN for use with open-source R under the GPL2 license. In short, doSMP makes it easy to do SMP parallel processing on a Windows box with multiple processors. (It works on Mac and Linux too, but it's been relatively easy to...
Revolution Analytics today announced a partnership with Jaspersoft, the makers of the most widely-used business intelligence software in the world. With this partnership, Revolution R and Jaspersoft software work together to bring the power of analytics coded in R to business users working with Business Intelligence (BI) dashboards and reports. If you're a Jaspersoft or R developer and would...
Here’s a post generated from my own ignorance of statistics (as opposed to just being marred by it)! In Labor Economics we walked through something called the truncated normal distribution. Truncated distributions come up a lot in the sciences because … Continue reading →
I just threw a post up on Revolutions, which got a lot longer than I planned. And got me thinking. And reading (see refs in previous post). And trying. Turns out that it was way easier than I thought!
Today, I'll again be using a new data set that can be found here at my website (called 'leagueoutcomes.csv'). The data set includes the standings results of the 2009 season for MLB along with average game attendance by team. I'll use this to go over some basic regression techniques and tools in R. Hopefully this...