Estimating required hospital bed capacity

July 23, 2012 | 0 Comments

Estimating required hospital bed capacity requires a thorough analysis. There are a lot of ways of approaching a capacity requirement problem, but I think we can agree that a simple spreadsheet analysis just won't cut it. The approach described in this post makes use of discrete-event simulation and, just ... [Read more...]

Using discrete-event simulation to simulate hospital processes

July 12, 2012 | 0 Comments

Discrete-event simulation is a very useful tool when it comes to simulating alternative scenario’s for current of future business operations. Let’s take the following case; Patients of an outpatient diabetes clinic are complaining about long waiting times, this seems to have an adverse effect on patient satisfaction and ... [Read more...]

R/Python Web Apps

June 10, 2012 | 0 Comments

I have a little delinquent on this whole blogging thing but here is a talk I gave to the DC R Group. On a twisted and Rpy2 web application framework that I built for my company. Enjoy J [Read more...]

Data Science Books for Computational Journalists

May 8, 2012 | 0 Comments

There are quite a few books out now on “data science”. I’ve picked out three that I think are the best place to start for computational journalists. First is Machine Learning for Hackers, by Drew Conway and John Myles White. The autho... [Read more...]

Late-April flotsam

April 25, 2012 | 0 Comments

It has been month and a half since I compiled a list of statistical/programming internet flotsam and jetsam. Via Lambda The Ultimate: Evaluating the Design of the R Language: Objects and Functions For Data Analysis (PDF). A very detailed evaluation … Continue reading → [Read more...]

User Input in R vs Python

April 18, 2012 | 0 Comments

Both R and Python have facilities where the coder can write a script which requests a user to input some information. In Python 2.6, the main function for this task is raw_input (in Python 3.0, it’s input()). In R, there are a series of functions that can be used to ... [Read more...]

ThinkStats … in R :: Example/Chapter 2 :: Example 2.1-2.3

March 14, 2012 | 0 Comments

As promised, this post is a bit more graphical, but I feel the need to stress the importance of the first few points in chapter 2 of the book (i.e. the difference between mean and average and why variance is meaningful). These are fundamental concepts for future work. The “pumpkin” ...
[Read more...]

Early-March flotsam

March 8, 2012 | 0 Comments

It has been a strange last ten days since we unexpectedly entered grant writing mode. I was looking forward to work on this issue near the end of the year but a likely change on funding agency priorities requires applying … Continue reading → [Read more...]

ThinkStats … in R (including Example 1.2)

March 4, 2012 | 0 Comments

ThinkStats (by Allen B. Downey) is a good book to get you familiar with statistics (and even Python, if you’ve done some scripting in other languages). I thought it would be interesting to present some of the examples & exercises in the book in R. Why? Well, once you’ve ... [Read more...]

Mid-February flotsam

February 17, 2012 | 0 Comments

This coming Monday we start the first semester in Canterbury (and in New Zealand for that matter). We are all looking forward to an earthquake-free year; more realistically, I’d be happy with low magnitude aftershocks. The Wall Street Journal reports … Continue reading → [Read more...]

speed of R, C, &tc.

February 2, 2012 | 0 Comments

My Paris colleague (and fellow-runner) Aurélien Garivier has produced an interesting comparison of 4 (or 6 if you consider scilab and octave as different from matlab) computer languages in terms of speed for producing the MLE in a hidden Markov model, using EM and the Baum-Welch algorithms. His conclusions are that ... [Read more...]

Interview with Kai Chew, CloudStat

December 31, 2011 | 0 Comments

Here is an interview with Kai Chew, Founder of Cloudstat. CloudStat is developing a cloud-based statistical platform to help researchers who want to make sense of data to do statistical analysis collaboratively with its high performance computing infra... [Read more...]

New release with Batch processing

October 5, 2011 | 0 Comments

This week we rolled out a new release at which implements two new main features: now supports Batch processing. Due to some changes in the architecture we were able to reduce our system requirements. In detail, we do not need that much open ports in your ... [Read more...]

A simple example for writting parallel code

September 7, 2011 | 0 Comments

Today, programmers have to deal with multi-core and multi-computer technologies. Several people claim that software developers are far behind hardware technologies. My two favorite posts for this statement are Editor’s Desk: Software Lags Behind Hardware, But That’s a Good Thing A Hacker’s Craic -Why is software so ... [Read more...]

Seriously … why don’t math classes use computers?…

August 31, 2011 | 0 Comments

Seriously … why don’t math classes use computers? Excel, simple Python scripts, Mathematica / Sage, everything beyond the TI-83. Kids could be creating totally sweet visuals instead of cribbing formulae. And thinking instead of copying. I can sa... [Read more...]

The foundations of Statistics: a simulation-based approach

July 11, 2011 | 0 Comments

“We have seen that a perfect correlation is perfectly linear, so an imperfect correlation will be `imperfectly linear’.” page 128 This book has been written by two linguists, Shravan Vasishth and Michael Broe, in order to teach statistics “in  areas that are traditionally not mathematically demanding” at a deeper level than ... [Read more...]
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