02827nam 2200697 a 450 991046411240332120200520144314.01-4462-4410-51-283-28914-897866132891481-4462-0602-50-85702-449-3(CKB)3230000000007017(EBL)743577(OCoLC)764572812(SSID)ssj0000539215(PQKBManifestationID)12177388(PQKBTitleCode)TC0000539215(PQKBWorkID)10568819(PQKB)11151468(MiAaPQ)EBC743577(OCoLC)1014400585(StDuBDS)EDZ0000018666(PPN)241544971sudoc(PPN)22791337X(Au-PeEL)EBL743577(CaPaEBR)ebr10504440(CaONFJC)MIL328914(EXLCZ)99323000000000701720110110d2009 fy 0engur|n|---|||||txtccrModern regression techniques using R[electronic resource] a practical guide for students and researchers /Daniel B. Wright and Kamala LondonLos Angeles, [Calif.] ;London SAGE20091 online resource (217 p.)Description based upon print version of record.1-84787-902-0 1-84787-903-9 Includes bibliographical references and index.Cover; Contents; Preface; 1 Very brief introduction to R; 2 The basic regression; 3 ANOVA as regression; 4 ANCOVA: Lord's paradox and mediation analysis; 5 Model selection and shrinkage; 6 Generalized linear models (GLMs); 7 Regression splines and generalized additive models (GAMs); 8 Multilevel models; 9 Robust regression; 10 Conclusion - make your data cool; Glossary of R functions used in this book; References; IndexTechniques covered in this book include multilevel modeling ANOVA and ANCOVA, path analysis, mediation and moderation logistic regression, generalised additive models, and robust methods. These are all tested out using a range of real research examples conducted by the authors in every chapter.Regression analysisSocial sciencesStatistical methodsFree computer softwareElectronic books.Regression analysis.Social sciencesStatistical methods.Free computer software.300.72519.536Wright Daniel B98320London Kamala1054911StDuBDSStDuBDSBOOK9910464112403321Modern regression techniques using R2487904UNINA