Statistics and Data Visualization Using R: The Art and Practice of Data Analysis

Brown, David S.

Statistics and Data Visualization Using R: The Art and Practice of Data Analysis - California Sage Publication Inc. 2022 - 588p

1. Getting Started
2. An Introduction to Data Analysis
3. Describing Data
4. Central Tendency and Dispersion
5. Univariate and Bivariate Descriptions of Data
6. Transforming Data
7. Some Principles of Displaying Data
8. The Essentials of Probability Theory
9. Confidence Intervals and Testing Hypotheses
10. Making Comparisons
11. Controlled Comparisons
12. Linear Regression
13. Multiple Regression
14. Dummies and Interactions
15. Diagnostics I: Is Ordinary Least Squares Appropriate?
16. Diagnostics II: Residuals, Leverages and Measures of Influence
17. Logistic Regression

9781544333861


Quantitative Research - R (Computer Program Language)

001.4226 / BRO
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