Regression analysis in R: a comprehensive view for the social sciences
Material type:
TextSeries: Chapman & Hall/CRC Statistics in the Social and Behavioral SciencesPublication details: Boca Raton CRC Press 2023 Description: ix, 180 pISBN: 9780367272586Subject(s): Regression analysis | Social sciences--StatisticsDDC classification: 519.536 Summary: Regression Analysis in R: A Comprehensive View for the Social Sciences covers the basic applications of multiple linear regression all the way through to more complex regression applications and extensions. Written for graduate level students of social science disciplines this book walks readers through bivariate correlation giving them a solid framework from which to expand into more complicated regression models. Concepts are demonstrated using R software and real data examples.
Key Features:
Full output examples complete with interpretation
Full syntax examples to help teach R code
Appendix explaining basic R functions
Methods for multilevel data that are often included in basic regression texts
End of Chapter Comprehension Exercises
(https://www.routledge.com/Regression-Analysis-in-R-A-Comprehensive-View-for-the-Social-Sciences/Bolin/p/book/9780367272586#)
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
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Indian Institute of Management LRC General Stacks | Operations Management & Quantitative Techniques | 519.536 BOL (Browse shelf(Opens below)) | 1 | Available | 005496 |
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| 519.535 TAB Using multivariate statistics | 519.5354 PAG Multiple factor analysis by example using R | 519.536 ALL Fixed effects regression models | 519.536 BOL Regression analysis in R: a comprehensive view for the social sciences | 519.536 CHE Statistical regression modeling with R: longitudinal and multi-level modeling | 519.536 FOX Regression diagnostics: | 519.536 FRO Regression analysis: an intuitive guide for using and interpreting linear models |
Regression Analysis in R: A Comprehensive View for the Social Sciences covers the basic applications of multiple linear regression all the way through to more complex regression applications and extensions. Written for graduate level students of social science disciplines this book walks readers through bivariate correlation giving them a solid framework from which to expand into more complicated regression models. Concepts are demonstrated using R software and real data examples.
Key Features:
Full output examples complete with interpretation
Full syntax examples to help teach R code
Appendix explaining basic R functions
Methods for multilevel data that are often included in basic regression texts
End of Chapter Comprehension Exercises
(https://www.routledge.com/Regression-Analysis-in-R-A-Comprehensive-View-for-the-Social-Sciences/Bolin/p/book/9780367272586#)
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