R Programming for Data Science

  1. R Ecosystem and Best Practices
    1. Package Management
      1. CRAN Package Installation
        1. Development Package Installation
          1. GitHub Installation
            1. Local Package Installation
            2. Package Loading Strategies
              1. Dependency Management
                1. Package Updates and Maintenance
                  1. Package Documentation Access
                  2. Project Organization
                    1. R Project Structure
                      1. Project-oriented Workflow
                        1. Directory Organization
                          1. File Naming Conventions
                          2. RStudio Projects
                            1. Project Creation
                              1. Project Settings
                                1. Project Switching
                                2. Reproducible Environments
                                  1. renv Package Management
                                    1. Environment Snapshots
                                      1. Dependency Tracking
                                    2. Code Quality and Style
                                      1. Coding Style Guidelines
                                        1. Variable Naming
                                          1. Function Naming
                                            1. Code Formatting
                                              1. Indentation Standards
                                              2. Code Documentation
                                                1. Comment Best Practices
                                                  1. Function Documentation
                                                    1. Package Documentation
                                                    2. Code Review Practices
                                                      1. Linting and Style Checking
                                                      2. Performance Optimization
                                                        1. Code Profiling
                                                          1. Profiling Tools
                                                            1. Performance Bottleneck Identification
                                                            2. Vectorization Techniques
                                                              1. Vector Operations
                                                                1. Matrix Operations
                                                                  1. Avoiding Loops
                                                                  2. Memory Management
                                                                    1. Memory Usage Monitoring
                                                                      1. Efficient Data Structures
                                                                        1. Garbage Collection
                                                                        2. Parallel Computing
                                                                          1. Parallel Package Usage
                                                                            1. Multi-core Processing
                                                                              1. Cluster Computing
                                                                            2. Debugging and Testing
                                                                              1. Debugging Techniques
                                                                                1. Interactive Debugging
                                                                                  1. Debug Function Usage
                                                                                    1. Breakpoint Setting
                                                                                    2. Error Handling Strategies
                                                                                      1. Unit Testing
                                                                                        1. testthat Package
                                                                                          1. Test Organization
                                                                                            1. Test Coverage
                                                                                          2. Community and Resources
                                                                                            1. R Community Engagement
                                                                                              1. R User Groups
                                                                                                1. Online Forums
                                                                                                  1. Social Media Communities
                                                                                                  2. Learning Resources
                                                                                                    1. Official Documentation
                                                                                                      1. Books and Tutorials
                                                                                                        1. Online Courses
                                                                                                        2. Contributing to R
                                                                                                          1. Package Development
                                                                                                            1. Bug Reporting
                                                                                                              1. Community Contributions

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                                                                                                          8. Reproducible Research and Communication

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                                                                                                          1. Introduction to R for Data Science