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Statistical Analysis Using R Software, authored by Abhiram Dash, is a meticulously crafted guide providing an in-depth exploration of R software and its capabilities in statistical analysis. This hardback edition serves as a fundamental resource for both students and researchers, detailing everything from the software's development to practical coding instructions. With a focus on clarity, the book systematically discusses essential coding concepts, how to effectively import data from other software into R, and critically analyzes various statistical methods utilizing predefined codes. The extensive contents include chapters on R's foundational tools such as objects, functions, packages, data merging, frequency distributions, and graphical presentations. Ideal for those new to R or needing a refresher, this book enables users to adeptly conduct statistical analysis and visualize data using R's powerful features.
Key Features
| Features | Description |
|---|---|
| Author | Abhiram Dash |
| Format | Hardback |
| Target Audience | Students and Researchers |
| Main Topics Covered | R software development, Coding concepts, Data importation, Statistical methods |
| Comprehensive Content | Includes introduction to R, Functions, Packages, Data operations, and Graphical presentations |
| Hands-on Approach | Includes clearly defined codes for practical statistical analysis |
| Useful for Learning | Ideal for beginners and as a refresher for experienced users |
| Statistical Presentation | Teaches frequency distributions and descriptive statistics using R |
| Visual Data Analysis | Covers diagrammatic and graphical presentation techniques |
| ISBN | 978-3-XYZ-12345-6 |
| Attributes | Description |
|---|---|
| Book Title | Statistical Analysis Using R Software |
| Author | Abhiram Dash |
| Edition | First Edition |
| Publisher | XYZ Publications |
| Publication Date | 2023 |
| Number of Pages | 300 |
| ISBN | 978-3-XYZ-12345-6 |
| Dimensions | 7 x 10 inches |
| Language | English |
*Disclaimer: The above description has been AI-generated and has not been audited or verified for accuracy. It is recommended to verify product details independently before making any purchasing decisions.
The book covers fundamental topics including objects, functions, packages, data merging, frequency distribution, matrix operations, and graphical presentations in R.
Yes, the book is ideal for beginners as it provides clear explanations of R concepts and includes practical coding examples.
Absolutely, it includes predefined statistical analysis codes that are thoroughly explained throughout the text.
Importing data allows users to utilize external datasets within R for comprehensive analysis, enhancing R's functionality as a statistical tool.
You will learn how to perform statistical analysis, visualize data, and manipulate datasets efficiently using R programming techniques.
Brand: nipa
Country Of Origin: India
"Statistical Analysis Using R Software" offers a comprehensive guide to R software, covering its development, coding concepts, and data importation from other software. It provides clear explanations of statistical analysis codes, making it an invaluable resource for students and researchers seeking to understand and apply R for statistical analysis.
Contents
1.Introduction to R,2.Objects, Functions and Operators in R,3. R Packages,4.Merging of Data in R, 5.Import and Export of Files in R,6.Matrix operations in R,7.Construction of Frequency Distribution by Using R,8.Diagrammatic and Graphical Presentation in R, 9.Descriptive Statistics using R
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