All around the world at noon GMT on April 28, data scientists around the world will compete in the world's first one-day International Data Science Hackathon, organized by Data Science London. Participants will receive a data set at the beginning of the event, and work in teams of 3-5 over the following 24 hours to create the best predictive...
Monthly Archives: April 2012
An intro to R
A few weeks back I gave a talk at the local Berkeley R meetup group. The idea was to help people not make the same mistakes I made when I first started out learning R. It was the first time I made an entire presentation with Deck.js and I generated the syntax highlighted R code
Use file.choose to customize output filenames in R functions
In this post, I want to address the following issue: several data files with a common trame have to be dealt with by an R function. The function should export files (such as images or data files or any other file type). I explain how to create filenames such that the function automatically exports files in the same directory...
useR! 2012 Deadlines Approaching: Registration, Hotels, Student Scholarships
Forwarded from Frank Harrell: DEADLINES FAST APPROACHING – 8th Annual International R User Conference useR! 2012, Nashville, Tennessee USA Registration Deadlines: Early Registration: Passed Regular Registration: Mar 1- May 12 Late Registration: May 13 – June 4 On-Site Registration: June 12 – June 15 Please note: Nashville is offering several large entertainment events the month
Gaussian process regression with R
I’m currently working my way through Rasmussen and Williams’s book
Where hiding if you don’t want to get wet ?
Following the previous post, two additional remarks. Following a comment by @cosi, I have investigated quickly a binomial fit to the distribution of the number of people not getting wet, with a fixed number of players on the field. It looks like it...
Melt
There are many situations where data is presented in a format that is not ready to dive straight to exploratory data analysis or to use a desired statistical method. The reshape2 package for R provides useful functionality to avoid having to hack data around in a spreadsheet prior to import into R. The melt function
A Little Web Scraping Exercise with XML-Package
Some months ago I posted an example of how to get the links of the contributing blogs on the R-Blogger site. I used readLines() and did some string processing using regular expressions.With package XML this can be drastically shortened - see this:# get...
R Structure Explained
This post by Suraj Gupta explains it all. This is the first time I have seen a concise and accessible explanation of the R environment structure and why it matters. Addendum: This one by Digithead is also pretty good
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
