Practicing R for Statistical Computing
This book is designed to provide a comprehensive introduction to R programming for data analysis, manipulation and presentation. It covers fundamental data structures such as vectors, matrices, arrays and lists, along with techniques for exploratory data analysis, data transformation and manipulatio...
I tiakina i:
| Ngā kaituhi matua: | , |
|---|---|
| Kaituhi rangatōpū: | |
| Hōputu: | Tāhiko īPukapuka |
| Reo: | Ingarihi |
| I whakaputaina: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2023.
|
| Putanga: | 1st ed. 2023. |
| Ngā marau: | |
| Urunga tuihono: | https://doi.org/10.1007/978-981-99-2886-6 |
| Ngā Tūtohu: |
Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
|
Rārangi ihirangi:
- Chapter 1. R Language: Introduction
- Chapter 2. Obtaining and Installing R Language
- Chapter 3. Using R as a Calculator
- Chapter 4. Data Mode and Data Structure
- Chapter 5. Working with Data
- Chapter 6. Descriptive Statistics
- Chapter 7. Probability and Probability Distributions
- Chapter 8. Confidence Intervals and Comparison Tests
- Chapter 9. Correlation & Regression Analysis
- Chapter 10. Graphing in R
- Chapter 11. Control Flow: election and Iteration
- Chapter 12. Functions and R Resources
- Chapter 13. Common Errors and Mistakes
- Chapter 14. Functions for Better Programming
- Chapter 15. Some Useful Functions
- Chapter 16. Important Packages.