Statistical Data Analysis Using R

This book introduces statistical data analysis using R programming, covering tools such as descriptive statistics, regression, ANOVA, and nonparametric tests. It covers essential statistical tools, including descriptive statistics, probability distributions, and hypothesis testing, with practical examples and solved exercises. It introduces both built-in library packages and manual coding solutions, offering flexibility and clarity for learners. With numerous tables, diagrams, and hands-on programming exercises, this book makes R for statistical analysis easy to understand and master.

• Comprehensive coverage of statistical tools, including descriptive statistics, regression, ANOVA, and nonparametric tests.
• Includes a dual programming approach, built-in library packages, and manual coding solutions.
• Focuses on graphics and data visualization for effective interpretation of results.
• Practical R code examples and solved exercises for hands-on learning.

It is ideal is for undergraduate and postgraduate students, researchers, and professionals in fields such as statistics, computer science, business analytics, public health, psychology, economics, and environmental science.