R for Statistical Programming

If your analysis lives in spreadsheets, every new dataset means repeating the same clicks and hoping you remember each step. R lets you replace that with scripts you can rerun, check and share.

R for Statistical Programming takes you from first principles to a complete analysis. You begin with the R workflow, syntax and RStudio, then learn data import, objects and tidy data. You will wrangle messy data with dplyr and tidyr, visualise it with ggplot2, and explore it through descriptive statistics. The book then covers statistical tests and how to check their assumptions, and regression modelling in R. Later chapters show you how to produce reproducible reports with R Markdown and Quarto and build interactive analyses with Shiny.