Here at Revolution Analytics, we're proud to have been a part of fostering local user groups for R users around the world. Last year we sponsored more than 40 groups, with representation from every continent around the world. And we're thrilled to see the continued growth in user groups: this time last year there about 50 R user groups;...
Monthly Archives: October 2012
Optimal Presidential Seeking Behavior
# Imagine that we have a spectrum of voters. On the left is communist-hippies. On the fights is fascist-Nazis.# Zero is perfectly between the two, the "Average voter"n.voters <- 30000voter.views <- rnorm(n.voters)# The command mat.bin...
Git Error when pushing with a large file
Quick Note: I had an error recently where RStudio nor EGit nor the command line would push my repo to github. I can't remember the exact error, although after some googling I found this SO answer that solved it git config http.postBuffer 52428800...
Error Handling in R
It’s often the case that I want to write an R script that loops over multiple datasets, or different subsets of a large dataset, running the same procedure over them: generating plots, or fitting a model, perhaps. I set the script running and turn to another task, only to come back later and find the
Debugging parameter mismatch across RAC database instances with R, dba_hist, and gv$parameter
Did you find this post useful? Does your organization need Oracle services? We can help. Much of this morning went into investigating strange ADDM reports on a two-node Oracle RAC database. For some reason, there were statistically improbable differences…
Conditional Colors and Shapes in plot() with ifelse()
Here’s an example of how to color your plot shapes and pch using an ifelse() statement. Ifelse() is handy as it creates an easy way to branch a function. The syntax is: ifelse(logical.condition, option1, option2). Meaning, if the logical condi...
Upcoming events
Featured I’ll be leading two courses in the near future: Value-at-Risk versus Expected Shortfall 2012 October 30-31, London. 30th: “Addressing the critical challenges and issues raised by the Basel proposal to replace VaR with Expected Shortfall” 31st: “Variability in Value-at-Risk and Expected Shortfall” led by Patrick Burns Details at CFP Events. Finance with R Workshop … Continue reading...
New season of Grey’s Anatomy with Exponential Random Graph Models
In a previous post we used the web of sexual contacts among characters on the Grey’s Anatomy television show to look at some social network analysis using R. To celebrate the beginning of the new season, Ben Lind has put … Continue reading →
Laplace’s liberation army
lubridate 1.2.0 now on CRAN
The latest version of lubridate offers some powerful new features and huge speed improvements. Some areas, such as date parsing are more than 50 times faster. lubridate 1.2.0 also fixes those pesky NA bugs in 1.1.0. Here’s some of what you’ll find: Parsers can now handle a wider variety date formats, even within the same 
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
