R Programming for Basic Statistical Methods by Robin Kerrigan is a practical introductory textbook that teaches the fundamentals of R for statistical computing and data analysis. It covers the history and features of R, environment setup, basic programming concepts, data types, operators, and scripting, then moves into core statistical techniques including descriptive statistics, regression (linear, multiple, logistic), probability distributions, ANOVA (one- and two-way, MANOVA, MANCOVA), correlation analysis, and hypothesis testing. The book also explores R graphics (scatter plots, histograms, bar charts, etc.), package management, data import/export, and real-world applications across fields such as finance, biosciences, and business analytics. With abundant code examples, outputs, and explanations, it bridges the gap between statistical theory and hands-on R implementation, making it ideal for students, researchers, and non-analyst professionals seeking to perform reproducible statistical analysis using R.1,3 giâyExpert

Ngôn ngữ:	eng
Tác giả:	Kerrigan, Robin
Thông tin nhan đề:	R Programming for Basic Statistical Methods
Nhà xuất bản:	American Academic Publisher
Loại hình:	Giáo trình, sách tham khảo / Bộ sưu tập: Công nghệ thông tin
Mô tả vật lý:	304p.
Năm xuất bản:	2025