Learn R

What Is R? Why Learn R? What Can You Build With R? Installing R and RStudio Setting Up Your Development Environment Your First R Program How R Code Runs R Syntax Basics Variables and Assignment Data Types Numbers and Arithmetic Vectors Working with Vectors Strings Logical Values and Comparisons Missing Values: NA and NULL Type Conversion Conditionals: if and else switch and Multiple Choices Loops Functions Scope and Anonymous Functions Lists Factors Data Frames Packages Comments and Code Style

Importing and Exporting Data Tibbles dplyr: filter, select, and arrange dplyr: mutate, summarise, and group_by Joining Data Tidy Data with tidyr Working with Text: stringr Dates and Times: lubridate Data Visualization with ggplot2 Customizing Charts: Facets, Scales, and Themes Descriptive Statistics Probability, Sampling, and Simulation The apply Family Functional Programming with purrr Error Handling and Defensive Code Working with JSON and APIs Files, Paths, and Projects Reproducible Reports with Quarto Testing with testthat Debugging R Code

Linear Regression Hypothesis Testing Generalized Linear Models Machine Learning with tidymodels Environments, Scoping, and Closures Programming with dplyr: Tidy Evaluation Object-Oriented R: S3 S4 and R6 Classes Performance and Profiling Working with Databases Interactive Web Apps with Shiny Building APIs with plumber Building R Packages Reproducibility: renv, Git, and Projects R in Production: Scheduling, Docker, and CI