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Statistical Data Analysis Using R: A Practical Introduction.
・ISBN 978-1-041-30771-6 hard GB£ 91.99
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| 著者・編者 | Tyagi, Deepa / Chandra, Shalini / Kumar, Shrawan, |
|---|---|
| 出版社 | (CRC Press, UK) |
| 出版年月 | 2027 |
| ページ数 | 240 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-88659＞ |
解説
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.