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R and its libraries employ numerous types of statistical and graphical approaches, including linear and nonlinear modelling, classical statistical tests, time-sequence Investigation, classification, clustering, and others. R is well extensible through features and extensions, and also the R Group is pointed out for its active contributions regardin
R programming has an ability of jogging MacOS, Home windows and UNIX platforms. For this reason, it's ideal for usage during the progression of statistical computer software software ideally by the information miners and statisticians for classical statistical assessments, linear modeling and time-collection Assessment.R is very similar to Matlab.
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