Faites connaître cet article à vos amis:
Statistical Data Analysis Using R : A Practical Introduction Deepa Tyagi
Nos clients disent :
Statistical Data Analysis Using R : A Practical Introduction
Deepa Tyagi
This book introduces statistical data analysis using R programming, covering tools like descriptive statistics, regression, ANOVA, and non-parametric 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.
Featuring numerous tables, diagrams, and hands-on programming exercises, this book ensures ease of understanding and practical mastery of R for statistical analysis. Comprehensive coverage of statistical tools, including descriptive statistics, regression, ANOVA, and non-parametric tests. Includes dual programming approach, in-built library packages and manual coding solutions.
Focus on graphics and data visualisation for effective interpretation of results. Practical R code examples and solved exercises for hands-on learning. This book 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.
| Médias | Livres Hardcover Book (Livre avec dos et couverture rigide) |
| A libérer | 1 février 2027 |
| ISBN13 | 9781041307716 |
| Éditeurs | Taylor & Francis Ltd |
| Pages | 240 |
| Dimensions | 150 × 220 × 20 mm · 513 g (Poids (estimé)) |
