By Earl F Glynn | Franklin Center A comparison of US Census voting age population data in Virginia to voter registration data shows only one locality, Surry County, with about 100% of the voting age population registered to vote. Six other localities have about 95% of their voting age population registered: Craig County, Isle of
For the past 18 months, it seems like all I’ve heard about in the digital marketing industry is “big data”, and with that, mentions of using Hadoop and R to solve these sorts of problems. Why are these tools the … Continue reading →
Learning R has really made me appreciate SAS is an article from randyzwitch.com,...
What follows is like a kata to strengthen your R fundamentals. The lovely stats in the wild recently posted some hott data analysis of Olympians’ ages and sexes. Because I’m annoyingly picky about graphics, I asked for his code so I could ...
Discrete-event simulation is a very useful tool when it comes to simulating alternative scenario’s for current of future business operations. Let’s take the following case; Patients of an outpatient diabetes clinic are complaining about long waiting times, this seems to have an adverse effect on patient satisfaction and patient retention. Read more »
R is an object oriented language. You provide a name and R supplies that name with various properties. In the simplest case, you can assign a number to a name. This will only have a few attributes, such as its class, length etc: i <- 5 names(i) #NULL class(i) # "integer" attr(i, "name") #NULL dim(i) 
I knew R was versatile, but DANG, people do a lot with it: > > … I don’t think anyone actually believes that R is designed to make *everyone* happy. For me, R does about 99% of the things I … Continue reading →
Here is the second screencast episode of the R-Podcast to accompany episode 8 of the R-Podcast: Visualization with ggplot2. In this screencast I demonstrate a real-time session of using ggplot2 to create boxplots for a visualization of hockey attendance in the NHL. The R code created in this screencast is available in our GitHub repository,
I’m happy to present this jam-packed episode of the R-Podcast dedicated to using the ggplot2 package for visualization. This episode will have a companion screencast released in the next few days. I use data from the Hockey Summary Project to demonstrate how to create a series of boxplots of NHL regular season attendance for each
Introduction I've recently been interested in how to communicate information using color. I don't know much about the field of Color Theory, but it's an interesting topic to me. The selection of color palettes, in particular, has been a topic I've been faced with lately. I downloaded 18 different sequential color palettes from Cynthia Brewer's
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
