After a month of on-again, off-again coding, I’ve finally completed a web site geared towards calculating the Value at Risk of the average investor’s portfolio. The site is visualvar.com. The big idea was to combine the statistical and visualization tools of R (especially ggplot2) with the web interface of Drupal. While I’m
If you’ve read any of my previous posts, you’ll notice that they’re rather scanty on colour. There’s a reason for this. Mainly, that to get a good colour output takes some time. I recently read a commentary in Nature methods (sorry if you don’t have access to it, but this looks like it may be 
One of the things I repeatedly include in referee reports, and in my responses to authors who have submitted papers to the International Journal of Forecasting, are comments designed to include the quality of the graphics. Recently someone asked on stats.stackexchange.com about best practices for producing plots. So I thought it might be helpful to
(Written by Ian Fellows) There has been quite a bit of progress on the ggplot2 graphical user interface since the last post. All of the major features have been implemented, and are outlined in the vlog links below. What remains is to fix bugs, improve interface elements, and listen to feedback from users (that’s you). 
So, when you first look at some data, it’s helpful to get a feel of it. One way to do this is to do a plot or two. I’ve found myself continuously doing the same series of plots for different datasets, so in the end I wrote this short code to put all the plots 
I recently posed a question on stackoverflow on whether anyone knew an efficient way to save an R plot to a MySQL database as a BLOB. My plan was to use my personal desktop to perform R routines and save them to a web server, where they could then be accessed and displayed on
Tuesday night I had the opportunity to present on high performance computing in R, and the Los Angeles R Users’ Group. There was so much to talk about that I had to split my talk into two parts. The first part was parallelization and the second ...
So I have been remiss in posting updates of progress on rgeos as my summer has gotten busier but the project is progressing smoothly and everything is on schedule. We have just recently passed an important personal milestone, parsing and running of all the JTS unit tests are now working and the rgeos code passes 
The Q&A site for statistical analysis, data mining, data visualization, and everything else to do with data analysis has finally been launched. Please head over to stats.StackExchange.com and start asking and answering questions. Also, spread the word to everyone else who may be interested — work colleagues, students, etc. The more people who use the
Some charts are to help you analyse data. Some charts are to wow people. 3d charts are often the latter, but occasionally the former. In this post, we’ll look at how to turn your data into a 3d chart. Let’s use the data from this previous post. Use the code which turns the .csv spreadsheet 
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
