In the following post, I describe how I've used the OOP features of R to create and use the following class hierarchy:Your browser does not support the <CANVAS> element !/* generated with svg2canvas by Pierre Lindenbaum http://plindenbaum.blogspot.com [email protected] */function paint1271278100588(){var canvas=document.getElementById('ctx1271278100588');if (!canvas.getContext) return;var c=
Monthly Archives: April 2010
Slides from High-Performance Analytics webinar now available
Thanks to everyone who attended the webinar I presented this morning, High-Performance Analytics with REvolution R and Windows HPC Server. My slides are now available for download at the link below; even if you're not using Windows, I hope the slides are a useful introduction to the foreach parallel programming construct in general. If you do use R on...
“The next big thing”, R, and Statistics in the cloud
A friend just e-mailed me about a blog post by Dr. AnnMaria De Mars titled “The Next Big Thing”. In it Dr. De Mars wrote (I allowed myself to emphasize some parts of the text): Contrary to what some people seem to think, R is definitely not the next big thing, either. I am always surprised when people ask me why I think...
R: parallel processing using multicore package
I have been meaning to look at adding some parallel processing to R as I have some scripts that are painfully slow and embarrassingly parallel. There seem to be a lot of packages around for doing parallel computing, listed here.I decided to look at mul...
R: parallel processing using multicore package
I have been meaning to look at adding some parallel processing to R as I have some scripts that are painfully slow and embarrassingly parallel. There seem to be a lot of packages around for doing parallel computing, listed here.I decided to look at mul...
Plotting “time of day” data using ggplot2
William asks: How can I make a graph that looks like this, “tweet density” style, showing time intervals? He then helpfully describes his input data: a CSV file with headers “time started, time finished, date”. Here’s a simple CSV file, tasks.csv: task,date,start,end task1,2010-03-05,09:00:00,13:00:00 task2,2010-03-06,10:00:00,15:00:00 task3,2010-03-06,11:00:00,18:00:00 task4,2010-03-07,08:00:00,11:00:00 task5,2010-03-08,14:00:00,17:00:00 task6,2010-03-09,12:00:00,16:00:00 task7,2010-03-10,14:00:00,19:00:00 task8,2010-03-11,09:30:00,13:30:00 Read into R, calculate the 
In case you missed it: March Roundup
In case you missed them, here are some articles from last month of particular interest to R users. We reviewed a special report in The Economist on the "Data Deluge" and the growing importance of statistical analysis in business. One section mentioned R specifically. We announced that Zack Urlocker, formerly responsible for engineering and marketing for the open-source database...
formatR: farewell to ugly R code
It is not uncommon to see messy R code which is almost not human-readable like this: # rotation of the word "Animation" # in a loop; change the angle and color # step by step for (i in 1:360) { # redraw the plot again and again plot(1,ann=FALSE,type="n",axes=FALSE) # rotate; use rainbow() colors text(1,1,"Animation",srt=i,col=rainbow(360),cex=7*i/360) #
Efficient Mixed-Model Association in GWAS using R
I recently did an analysis for the eMERGE network where I had lots of individuals from a small town in central Wisconsin where many of the subjects were related to one another. The subjects could not be treated as independent, but I could not use a fam...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
