For the last month or so I’ve been working on an R package to make accessing the Adobe (Omniture) Digital Marketing Suite Reporting API easier. As part of this development effort, I’m at the point where I’m intentionally introducing errors into my function inputs, trying to guess some of the ways useRs might incorrectly input
Since I wrote my blog When SAP HANA met R - First kiss I had received a lot of nice feedback...and one those feedbacks was..."What's new?"...Well...as you might now SAP HANA works with R by using Rserve, a package that allows communication to an R Serv...
The yhat blog lists 10 R packages they wish they'd known about earlier. Drew Conway calls them "10 reasons to always start your analysis in R". They're all very useful R packages that every data scientist should be aware of. They are: sqldf (for selecting from data frames using SQL) forecast (for easy forecasting of time series) plyr (data...
A great interview on the Simply Statistics blog with Google's Nick Chamandy, Phd in Statistics. Explains that he mainly uses R among other tools to perform his work at Google. Also of note is the active data science community within Google ...
We love to work with latest big data technologies. Currently, our favorite open-source tools are the NoSQL database mongoDB, the Hadoop framework for distributed computing and data storage, and the statistical software R. It is fascinating to be part of these very active communities. Here is a list of my favorite community links: mongoDB Blog 
Several packages on CRAN provide (or relate to) interfaces between databases and R. Here is a summary, mostly in the words of the package descriptions. Remember that package names are case-sensitive. The packages that talk about being DBI-compliant are referring to the DBI package (see below in “Other SQL”). MySQL dbConnect: Provides a graphical user
The post R...
As you may already know...I love R...a fancy, open source statistics programming language. So today, I decided to learn something new using R.There aren't much Web Servers for R, but there's one that I really like called Rook, that I covered on my blog...
Following directly on from F1Stats – Visually Comparing Qualifying and Grid Positions with Race Classification, and continuing in my attempt to replicate some of the methodology and results used in A Tale of Two Motorsports: A Graphical-Statistical Analysis of How Practice, Qualifying, and Past SuccessRelate to Finish Position in NASCAR and Formula One Racing, here’s 
The explosion in the availability of text has opened new opportunities to exploit text as data for research. As Justin Grimmer and Brandon Stewart discuss in the above paper, there are a number of approaches to reducing human text to … Continue reading →
if the census bureau's budget was gutted and only one complex sample survey survived, pray it's the survey of income and program participation (sipp). it's giant. it's rich with variables. it's monthly. it follows households over three, four, now five year panels. the congressional budget office uses it for their health insurance simulation. analysts read that sipp has...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
