The annoucement below went out to R-SIG-Finance earlier today. For information is as usual the the R / Finance 2010 page: Now open for registrations: R / Finance 2010: Applied Finance with R April 16 and 17, 2010 Chicago, IL, USA The second annu...

The annoucement below went out to R-SIG-Finance earlier today. For information is as usual the the R / Finance 2010 page: Now open for registrations: R / Finance 2010: Applied Finance with R April 16 and 17, 2010 Chicago, IL, USA The second annu...

One of the greatest event on R is under way… R / Finance 2010: Applied Finance with R April 16 & 17, Chicago, IL, US The second annual R / Finance conference for applied finance using R, the premier free software system for statistical computation and graphics, will be held this spring in Chicago, IL, USA on Friday April 16

FlowingData has just posted a nice step-by-step tutorial on how to make a heat-map in R, like this one on attributes of NBA scorers: If you want to take the concept a step further with time-series data, you can also create calendar heat-maps in R. For example, you can track the level of activity in a forum, or the...

Statistical Algorithms blog attempted to recreate a graph depicting the growing colour selection of Crayola crayons in ggplot2 (original graph below via FlowingData). He also asked the following questions: Is there an easier way to do this? How can I make the axes more like the original? What about the white lines between boxes and

My apologies for the long break between posts. Before the end of this week I’ll return to my series of posts on image processing in R. In the intervening time, I’ve finished a piece of code that I’d like to officially release to the public. The code in question is a very minimal object-relational mapper

FriendFeed is a social media service, where groups of people can post interesting information from the Web, and "like" or comment posts from others. Statistical Bioinformatician Neil Saunders is a member of the "Life Scientists" group, and has posted an analysis of the group's activity in 2009 to his blog. He used Ruby and the FriendFeed API to extract...

Sometimes it is preferable to label data series instead of using a legend. This post demonstrates one way of using labels instead of legend in a ggplot2 plot. > library(ggplot2) > p <- ggplot(dfm, aes(month, value, group = City, colour = City)) + geom_line(size = 1) + opts(legend.position = "none") > p + geom_text(data =

This post is a continuation of my series dealing with matrix operations for image processing. My next goal is to demonstrate the construction of simple low-pass and high-pass spatial frequency filters in R. It’s easy enough to construct simple versions of these filters in R using the Fast Fourier Transform (also known as the FFT),