RStats

Syllabus

• Introduction
  • Language basics, numeric, arithmetic, assignment, and vectors, Matrices and Arrays, Non-numeric Values, Lists and Data Frames, Special Values, Classes, and Coercion, Basic Plotting.
• Programming
  • Reading and writing files, Programming, Calling Functions, Conditions and Loops (stand-alone statements, stacking statements, coding loops), Writing Functions, Exceptions, Timings, and Visibility.- Statistics and Probability
  • Basic data visualisation, probability, common probability distributions (Bernoulli, binomial, Poisson), common probability density functions (uniform, normal, Student's t-distribution).
• Statistical Testing and Modelling
  • Sampling distributions, hypothesis testing (testing means, proportions, categorical variables), errors and power, Analysis of variance (ANOVA).
• Regression and Advanced Graphics
  • Simple linear regression, multiple linear regression, linear model selection and diagnostics. Advanced graphics(plot customization, plotting regions and margins, point and click coordinate interaction, customizing traditional R plots, specialized text and label notation).
• Advanced Visualization
  • Defining colors and plotting in higher dimensions, representing and using color, 3D scatter plots.

Links

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