R is an Open Source project providing an interactive language and environment for statistical computing. It has become the lingua franca for research in statistical methods. Because R is an interpreted language it is comparat...

R is an Open Source project providing an interactive language and environment for statistical computing. It has become the lingua franca for research in statistical methods. Because R is an interpreted language it is comparat...

Slides from the Boston Predictive Analytics Big Data Workshop tutorials: Big Data Step-by-Step: Infrastructure 1/3: Local VM Big Data Step-by-Step: Infrastructure 2/3: Running R and RStudio on EC2 Big Data Step-by-Step: Infrastructure 3/3: Taking it to the cloud... easily... with Whirr Big Data Step-by-Step: Using R & Hadoop (with RHadoop's rmr package)

I read Mining Twitter for consumer attitudes towards hotels in my feed of R-bloggers. That reminded me that I intended to look at generating wordclouds for salt and MSG at some point. Salt, or sodium is linked to hypertension, which is linked...

Couple of months back I read Jeffrey Breen’s presentation on mining Twitter for consumer attitudes towards airlines, so I was just curious how it would look if I estimate the sentiment toward major hotels. So here it is: # load twitter library > library(twitteR) # search for all the hilton tweets > hilton.tweets=searchTwitter('@hilton',n=1500) > length(hilton.tweets)

For the longest time I resisted customizing R for my particular environment. My philosophy has been that each R script for each separate analysis I do should be self contained such that I can rerun the script from top to bottom on any machine and get the same results. This being said, I have now

Nico brought to my attention the 130/30: The New Long-Only (2008) by A. Lo, P. Patel paper in his comment to the Multiple Factor Model – Building CSFB Factors post. This paper presents a very detailed step by step guide to building 130/30 Index using average CSFB Factors as the alpha model and MSCI Barra