000			01206aam a2200193 4500
003			OSt
005			20240322202902.0
008			231216b |||||||| |||| 00| 0 eng d
020			_a9781544333861
040			_c
082			_a001.4226 _bBRO
100			_aBrown, David S. _993010
245			_aStatistics and Data Visualization Using R: The Art and Practice of Data Analysis
260			_aCalifornia _bSage Publication Inc. _c2022
300			_a588p
500			_a1. 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
600			_aQuantitative Research - R (Computer Program Language) _994697
942			_2ddc _cLB _k001.4226 _mBRO
999			_c146315 _d146315