R Programming for Data Science

  1. Programming Fundamentals in R
    1. Control Flow Structures
      1. Conditional Execution
        1. if Statements
          1. if-else Constructs
            1. else if Chains
              1. Nested Conditionals
                1. Vectorized Conditionals
                2. Iterative Constructs
                  1. for Loop Structure
                    1. while Loop Structure
                      1. repeat Loop Structure
                        1. Loop Control Statements
                          1. break Statement
                            1. next Statement
                          2. Error Handling
                            1. try Function
                              1. tryCatch Function
                                1. Error Recovery Strategies
                              2. Function Development
                                1. Function Definition
                                  1. Function Syntax
                                    1. Parameter Specification
                                      1. Default Arguments
                                        1. Variable Arguments
                                        2. Function Execution
                                          1. Argument Matching
                                            1. Return Value Handling
                                              1. Side Effects Management
                                              2. Scoping and Environments
                                                1. Lexical Scoping Rules
                                                  1. Environment Hierarchy
                                                    1. Variable Lookup
                                                      1. Closure Concepts
                                                      2. Function Documentation
                                                        1. Inline Documentation
                                                          1. Roxygen2 Comments
                                                            1. Example Creation
                                                          2. Functional Programming Concepts
                                                            1. Higher-Order Functions
                                                              1. Function Composition
                                                                1. Anonymous Functions
                                                                  1. Closures and Factories
                                                                  2. Apply Family Functions
                                                                    1. apply for Arrays
                                                                      1. lapply for Lists
                                                                        1. sapply for Simplified Output
                                                                          1. vapply for Type-safe Output
                                                                            1. mapply for Multiple Arguments
                                                                              1. tapply for Grouped Operations
                                                                              2. purrr Package Functions
                                                                                1. map Function Family
                                                                                  1. Type-specific Mapping
                                                                                    1. Conditional Mapping
                                                                                      1. Error-safe Mapping
                                                                                        1. Parallel Mapping

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                                                                                      5. Data Visualization with ggplot2

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                                                                                      7. Statistical Analysis in R