…or your money back.
author = "Ben Ogorek"
Twitter = "@baogorek"
email = paste0(sub("@", "", Twitter), "@gmail.com")
Pretend this is Big Data:
doc1 <- "Stray cats are running all over the place. I see 10 a day!"
doc2 <- "Cats are killers. They...
Programmers have long been very proud and loyal with their tools, and often very vocal. This has led to well-contested rivalries and “fights” about which tool is better: emacs or vi; Java or C++; Perl or Python; Django or Rails; … Continue reading →
The post Python vs R vs SPSS … Can’t All Programmers Just Get Along?...
A few weeks ago, the stream package has been released on CRAN. It allows to do real time analytics on data streams. This can be very usefull if you are working with large datasets which are already hard to put in RAM completely, let alone to build some statistical model on it without getting into RAM problems.
Most of...
Solution: use your ~/.my/cnfInside your ~/.my.cnf file define the connection parameters to your databases. For example, here I define two groups called local and toto:user = rootpassword = ultra_secrethost = localhostuser = capitaine_flamp...
(This article was first published on asdfree by anthony damico, and kindly contributed to R-bloggers) "Combining R's sophisticated calculations and MonetDB's excellent data access performance is a no-brainer. One gets the best of two (open source) worlds with minimal hassle." - Dr. Hannes Mühleisen"oh wow that was fast like a cheetah with a jetpack or something" - anthony damicowhy...
Most of you might not be aware of a feature introduced on SAP HANA SPS5. This new feature is called "Flexible Tables", which means that you can define a table that will grow depending on your needs. Let's see an example...You define a table with ID, NA...
For some reason, I feel like have much better control with plot.xts function from the xtsExtra package described here over some of the other more refined R graphical packages. Maybe, it is just my simple mind, but recently I wanted to shade holding per...
Unfortunately the RpostgreSQL package (I’m pretty sure other SQL DBs as well) doesn’t have a provision to UPDATE multiple records (say a whole data.frame) at once or allow placeholders making the UPDATE a one row at a time ordeal, so I built a work around hack to do the job in parellel. The big problem 
Today, there are two main ways to use Hadoop with R and big data: 1. Use the open-source rmr package to write map-reduce tasks in R (running within the Hadoop cluster - great for data distillation!) 2. Import data from Hadoop to a server running Revolution R Enterprise, via Hbase, ODBC (for high-performance Hadoop/SQL interfaces), or streaming data direct...
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
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
