|By Bob Gourley||
|April 21, 2014 12:18 AM EDT||
By Bob Gourley
“R” is a freely available language for interacting with your computer that is designed for a wide variety of functions. It is most frequently associated with statistical computing and graphics. R runs on a wide variety of systems, including Mac, Windows, Linux and Unix.
Every analyst who deals with data should have a copy of R and be familiar with it. And every technologist with a desire to track the greatest technologies available should run it as well so you know what the buzz is all about.
Here are some tips to get you up and running fast:
You will immediately see links to Linux, Mac and Windows versions of R. Download and install the one for your system.
That’s it. See how easy that was. Now you have R running on your system. Open it, and look around. One of the greatest things about R is the help functionality. Make that the first menu item you click on. The powerful guidance in the help section can walk you through an introduction to R and have you up and working with real world problems in no time at all.
In coming posts we will provide more tips, including how to install new “packages” to R to expand its functionality.
- R 3.1.0 is released! (r-bloggers.com)
- Resources to speed the R learning curve (datagrad.blogspot.com)
- R Continues Its Rapid Growth (r-bloggers.com)
- R and Bayesian Statistics (r-bloggers.com)
- Unix Commands and Batch Processing for the Reluctant Librarian or Archivist (metro.org)
- QuantLib 1.4 packages also available for Ubuntu and Windoze (dirk.eddelbuettel.com)
- CRAN now has 5000 R packages (r-bloggers.com)
- Staying up with R (statmethods.wordpress.com)
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Smart Cities are here to stay, but for their promise to be delivered, the data they produce must not be put in new siloes. In his session at @ThingsExpo, Mathias Herberts, Co-founder and CTO of Cityzen Data, will deep dive into best practices that will ensure a successful smart city journey.
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