Interesting story. The truth here seems to be something between "court throws out bayes law" and "judge realizes that garbage in means garbage out."
A new R module that lets you keep your data on disk.
I think this would be pretty easy to do with gpplot2, but Portfolio looks like its worth checking out too.
Awesome (and very short) section of debugging: 1. Be liberal with the use of print (or cat()) statements in your functions when debugging them! 2. traceback() # can see the sequence of function calls 3. options(error = dump.frames) debugger() # permits you to see the values of objects in the various nested environments of the function calls
A software suite that has become an Apache project. Used by Apache to create a series of metrics.
The description of fitting coxph to time dependent data here seems to be better than any I've found yet.
Andrew Gelman likes this article more than the Wikipedia article on the subject.
*Sigh*. Another opt-in survey. This one from the Ada Initiative.
I'm a huge fan of data.table and I've used it a ton in my own work in the last year.
There should be a better way of finding your R package than searching though a page of short descriptions of all 2800 package.s But there isn't.
Simple R package to format model objects in a regression table like the kind that everyone reporting models wil need to do. Nice start even if one wants to modify things after that. Based on PoliSci publications but looks pretty standard for other social sciences.
"Cube is a system for collecting timestamped events and deriving metrics. By collecting events rather than metrics, Cube lets you compute aggregate statistics post hoc. It also enables richer analysis, such as quantiles and histograms of arbitrary event sets. Cube is built on MongoDB and available under the Apache License on GitHub."
"Cubism.js is a D3 plugin for visualizing time series. Use Cubism to construct better realtime dashboards, pulling data from Graphite, Cube and other sources. Cubism is available under the Apache License on GitHub."
