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Statistical Computing with R epub

Statistical Computing with R by Maria L. Rizzo, Rizzo Maria

Statistical Computing with R



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Statistical Computing with R Maria L. Rizzo, Rizzo Maria ebook
Format: pdf
Publisher: Taylor & Francis
ISBN: 9781584885450
Page: 416


May 21, 2014 - Not only does R have a gigantic head start, but also there is the point that statistics simply is not Python's or Julia's central mission; the incentives to get that big in data science just aren't there, I believe. R is very different than C++ or Python. R is similar to S, which was developed at Bell Laboratories by John Chambers et al. R is a not a general purpose programming language. Mar 19, 2013 - Once that is complete, we will show examples of running SAS, Stata, and R on the cluster. We will then give a very brief introduction to parallel computing with R. I'd heard Python was much faster, so I translated a piece of R code with several nested loops into Python (it ran an order of magnitude faster). Apr 19, 2014 - Though I have done some work in R, overall R is somewhat new to me. Feb 28, 2013 - Over the past couple weeks, I've been considering alternatives to R. Feb 1, 2001 - Description: Environment for statistical computing (3.1.0-2). Oct 14, 2013 - R is the de facto standard for statistical analysis in a wide range of disciplines such as computational biology, finance, sociology, political science and digital humanities. R is a DSL for statistical computing. Updated March 26th: this workshop is now filled to capacity. It needs much better indexing, and But I believe it is fair to say that for parallel computing, R beats Python and Julia. (This is not to say that CRAN doesn't need improvement.