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- catalog abstract "Text explaining basic statistical methods in the R programming language through extensive use of examples.".
- catalog contributor b13236538.
- catalog contributor b13236539.
- catalog created "2003.".
- catalog date "2003".
- catalog date "2003.".
- catalog dateCopyrighted "2003.".
- catalog description "1. A brief introduction to R -- 2. Styles of data analysis -- 3. Statistical models -- 4. Introduction to formal inference -- 5. Regression with a single predictor -- 6. Multiple linear regression -- 7. Exploiting the linear model framework -- 8. Logistic regression and other generalised linear models -- 9. Multi-level models, time series and repeated measures -- 10. Tree-based classification and regression -- 11. Multivariate data exploration and discrimination -- 12. The R system -- additional topics -- 13. Epilogue -- models -- App. S-plus differences.".
- catalog description "Includes bibliographical references (p. [346]-351) and indexes.".
- catalog description "Text explaining basic statistical methods in the R programming language through extensive use of examples.".
- catalog extent "xxiii, 362 p. :".
- catalog identifier "0521813360".
- catalog isPartOf "Cambridge series in statistical and probabilistic mathematics".
- catalog isPartOf "Cambridge series on statistical and probabilistic mathematics.".
- catalog issued "2003".
- catalog issued "2003.".
- catalog language "eng".
- catalog publisher "Cambridge, UK ; New York : Cambridge University Press,".
- catalog subject "519.5/0285 21".
- catalog subject "QA276.4 .M245 2003".
- catalog subject "R (Computer program language)".
- catalog subject "Statistics Data processing.".
- catalog subject "Statistics Graphic methods Data processing.".
- catalog tableOfContents "1. A brief introduction to R -- 2. Styles of data analysis -- 3. Statistical models -- 4. Introduction to formal inference -- 5. Regression with a single predictor -- 6. Multiple linear regression -- 7. Exploiting the linear model framework -- 8. Logistic regression and other generalised linear models -- 9. Multi-level models, time series and repeated measures -- 10. Tree-based classification and regression -- 11. Multivariate data exploration and discrimination -- 12. The R system -- additional topics -- 13. Epilogue -- models -- App. S-plus differences.".
- catalog title "Data analysis and graphics using R : an example-based approach / John Maindonald and John Braun.".
- catalog type "text".