Fitting distribution with R is something I have to do once in a while.A good starting point to learn more about distribution fitting with R is Vito Ricci's tutorial on CRAN. I also find the vignettes of the actuar and fitdistrplus packag...

The Orange County R Users Group is hosting a free webinar presented by Hadley Wickham, author of the ggplot2 graphics package for R. The webinar, "Advanced Visualizations in R with Hadley Wickham" is live from 6PM-7PM Pacific Time tomorrow, December 1. You can register at the LinkedIn event page below, as long as there are spaces left (it's limited...

The University of Washington is holding a web-based course which will be of interest to anyone who wants to learn about financial modeling with R: Financial Data Modeling and Analysis in R (AMATH 542) is a comprehensive introduction to the R statistical programming language for computational finance offered by the University of Washington Computational Finance program and taught by...

This is another pretty simple function, written to help me solve the simplest representation of a trivial but tedious task. Most biologist are probably familiar with this task. How many nucleotide differences exist between two given sequences? I only faced the easiest part of the problem, i.e. I do not perform alignment, I just assume that

Happy Thanksgiving, everyone. Earlier today, I found an interesting post from Bo Allen on pseudo-random vs random numbers, where the author uses a simple bitmap (heat map) to show that the rand function in PHP has a systematic pattern and compares these to truly random numbers obtained from random.org. The post’s results suggest that pseudo-randomness in PHP is

This post is somewhat marginal to R in that there are several statistical systems that could be used to tackle the problem. Bayesian statistics is one of those topics that I would like to understand better, much better, in fact. … Continue reading →

I am a regular participant of Prague International Half Marathon. In a mass event like this the horde of runners needs a long time to reach the starting line. To make the times mutually comparable the “start time” is measured and afterwards subtracted from the “finish time”. Also the crowd is organized to corridors in such...