Beginning R 4 : from beginner to pro Learn how to use R 4 write and save R scripts read in and write out data files use built in functions and understand common statistical methods. This in depth tutorial includes key R 4 features including a new color palette for charts an enhanced reference counting system (useful for big data) and new data import settings for text (as well as the statistical methods to model text based categorical data). Each chapter starts with a list of learning outcomes and concludes with a summary of any R functions introduced in that chapter along with exercises to test your new knowledge. The text opens with a hands on installation of R and CRAN packages for both Windows and macOS. The bulk of the book is an introduction to statistical methods (non proof based applied statistics) that relies heavily on R (and R visualizations) to understand motivate and conduct statistical tests and modeling. Beginning R 4 shows the use of R in specific cases such as ANOVA analysis multiple and moderated regression data visualization hypothesis testing and more. It takes a hands on example based approach incorporating best practices with clear explanations of the statistics being done. You will: Acquire and install R and RStudio Import and export data from multiple file formats Analyze data and generate graphics (including confidence intervals) Interactively conduct hypothesis testing Code multiple and moderated regression solutions.