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    R PROGRAMMING


    Introduction:

    • Introduction to R Language
    • Programming Statistical Graphics
    • Programming With R
    • Simulation
    • Computational Linear Algebra
    • Numerical Optimization

    Data Manipulation:

    • Data In R
    • Reading and Writing Data
    • R and Databases
    • Dates
    • Factors
    • Subscribing
    • Character Manipulation
    • Data Aggregation
    • Reshaping Data

    Statistical Applications:

    • Basics
    • The R Environment
    • Probability and Distributions
    • Descriptive Statistics and Graphics
    • One- And Two-Sample Tests
    • Regression and Correlation
    • Analysis of Variance and The Kruskal–Wallis Test
    • Tabular Data
    • Power and The Computation of Sample Size
    • Advanced Data Handling
    • Multiple Regression
    • Linear Models
    • Logistic Regression
    • Survival Analysis
    • Rates and Poisson Regression
    • Nonlinear Curve Fitting