Nomen Est Omen?Lately, the terms "data science" and "data scientist" turn up at an increasing pace in the R-blog-sphere. Since its first occurrence (to my knowledge,  "data scientist" has been coined by DJ Patil and Jeff Hammerbacher in 2008), th... [Read more...]

In case you have no experience in writing an R-package yourself  but would like to start developing one right away, this post might be helpful.I'm about to finish my first own (serious) R-package these days (more on the package itself later). Whil... [Read more...]

Have you ever played Monte Carlo Dart? If not, read this post and learn how to do it with R and what it can be used for. In fact it is a very easy and prevalent example (which I have come across in a  computational economics course last spring semester) ... [Read more...]

In this last post of my little series (see my latest post) on R and the web I explain how to extract data of a website (web scraping/screen scraping) with R. If the data you want to analyze are a part of a web page, for example a HTML-table (... [Read more...]

This second post of my little series on R and the web deals with how to access and process XML-data with R. XML is a markup language that is commonly used to interchange data over the Internet. If you want to access some online data over a webpage's AP... [Read more...]

One of the things I especially like about R is its ability to easily access and process data from the web. If you are new to R, or never have used it to access data from the Internet, here is the first part of a little series of posts with ... [Read more...]