Statistics with R

Statistics with R is the practical application of statistical theory and methods using the R programming language, a powerful open-source environment designed specifically for statistical computing and graphics. This field moves beyond theoretical concepts to focus on hands-on data analysis, teaching you how to import, clean, manipulate, and visualize data sets. By leveraging R's extensive ecosystem of packages, you will learn to implement a wide range of statistical techniques, from descriptive statistics and hypothesis testing to complex regression modeling and machine learning, ultimately enabling you to conduct reproducible and robust data-driven research.

  1. Introduction to R and Statistical Computing
    1. Overview of R
      1. Definition and Purpose
        1. Key Features and Capabilities
          1. History and Development
            1. R as a Statistical Computing Language
              1. Open Source Nature and Philosophy
              2. The R Ecosystem
                1. CRAN Repository
                  1. Package System
                    1. Community and Support Resources
                      1. R Consortium and Governance
                      2. Installing and Setting Up R
                        1. Downloading R
                          1. Installation on Windows
                            1. Installation on macOS
                              1. Installation on Linux
                              2. R Configuration
                                1. Setting Working Directory
                                  1. Customizing Startup Options
                                2. Introduction to RStudio IDE
                                  1. R vs RStudio Distinction
                                    1. Installing RStudio
                                      1. RStudio Interface Components
                                        1. Console Pane
                                          1. Source Editor Pane
                                            1. Environment Pane
                                              1. History Pane
                                                1. Files Pane
                                                  1. Plots Pane
                                                    1. Packages Pane
                                                      1. Help Pane
                                                        1. Viewer Pane
                                                        2. Customizing RStudio
                                                          1. Themes and Appearance
                                                            1. Code Editing Options
                                                              1. Pane Layout Configuration