Statistical Computing Using R Programming is a comprehensive guide designed to help students, researchers, data analysts, and academicians master statistical analysis using the R programming language. Covering fundamental and advanced topics such as data manipulation, probability distributions, hypothesis testing, regression analysis, ANOVA, multivariate analysis, data visualization, and statistical modeling, the book combines theoretical concepts with practical implementation through well-explained R code and real-world examples. With a hands-on approach and step-by-step exercises, it equips readers with the skills required to analyze data effectively, interpret statistical results, and apply R programming confidently in academic research, business analytics, and data science.








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