R types and classes, Functions, Data Structures, Reading and writing Data from files, Variables, Control Structures. Input Output, Graphics, Data Visualization, Simulation-Generating Random Numbers, Setting the random number seed, Simulating a Linear Model, Random Sampling, Data Analysis Case Study.
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