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EbookBell Team
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0 reviewsPrior experience of R is not needed; knowledge of other programming languages, software packages, or statistics may help but is not needed. After downloading and installing R, you learn its fundamentals with a basic R program then learn to import external data for analysis, manipulate data using variables, and store and edit data in an R workspace. Next, you learn to use various statistics for a global understanding of your data and then create predictive models using regression analysis and customized functions to assess the implications of your predictions. Finally, you learn to organize analyzed data to convey your predictions to others effectively and map your statistical analysis with charts and graphs.
