Beginning R: The Statistical Programming Language Mark Gardener
Publisher: Wrox Press, Inc.
Beginner's Guide to R Statistical Programming Language. For organizations looking to start a content analytics program or improve their existing capabilities, Aberdeen Group and IBM will lay out several recommendations on how to become a best-in-class customer service organization. R can do any statistical tests and numerical modeling you can imagine; if there's not a built-in function you can write one (the beauty of using a programming language over point-and-click statistical programs). R is fast becoming the de facto standard for statistical computing and analysis in science, business, engineering, and related fields. How developers combine the M and R programming languages to get a powerful open source statistical package. John Chambers has been the principal designer of the S language since its beginning, and in 1999 received the ACM System Software award for S, the only statistical software to receive this award. In June of 2013, ComputerWorld published a nice overview to the R statistical programming language. This book examines this complex language using Beginning R. Enough talking, let's start typing. Posted by Doug Lautzenheiser at 7:37 PM. IDG News Service (New York Bureau) — Hoping to entice more enterprises to use the R statistical programming language directly within their predictive modeling and data visualization jobs, Tibco has released a free version of its R . You can vary these later r = [0.5, 0.2] N = [2, 2] # Initial pop size K = [100, 50] alpha = [1.2, 0.2] # Set the duration of the model tmax = 100 t = range(0, tmax + 1) # Range goes from the starting point to n-1, n is the end point # Now here it gets complicated!