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R and its libraries put into practice a wide variety of statistical and graphical approaches, including linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, and Other folks. R is definitely extensible by features and extensions, as well as R Group is mentioned for its active contributions when it comes to deals. Many of R's normal functions are prepared in R alone, which makes it easy for customers to follow the algorithmic choices built.
In January 2009, the New York Times ran an post charting the growth of R, The explanations for its popularity amid data scientists as well as the risk it poses to professional statistical deals which include SAS.[seventy four]
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