03343nam 2200685Ia 450 991081951630332120210702172430.01-4443-6247-X1-282-54792-597866125479281-4443-1962-01-4443-1963-9(CKB)2670000000014784(EBL)514460(OCoLC)609863007(SSID)ssj0000357210(PQKBManifestationID)11254492(PQKBTitleCode)TC0000357210(PQKBWorkID)10352144(PQKB)10766551(MiAaPQ)EBC514460(MiAaPQ)EBC4041932(Au-PeEL)EBL514460(CaPaEBR)ebr10377840(CaONFJC)MIL254792(Au-PeEL)EBL4041932(CaPaEBR)ebr11114672(OCoLC)613206391(PPN)250326302(EXLCZ)99267000000001478420100111d2010 uy 0engur|n|---|||||txtccrBiostatistical design and analysis using R[electronic resource] a practical guide /Murray Logan1st ed.Hoboken, N.J. Wiley-Blackwell20101 online resource (576 p.)Description based upon print version of record.1-4443-3524-3 1-4051-9008-6 Includes bibliographical references and index.Biostatistical Design and Analysis Using R; Contents; Preface; R quick reference card; General key to statistical methods; 1 Introduction to R; 2 Datasets; 3 Introductory statistical principles; 4 Sampling and experimental design with R; 5 Graphical data presentation; 6 Simple hypothesis testing - one and two population tests; 7 Introduction to Linear models; 8 Correlation and simple linear regression; 9 Multiple and curvilinear regression; 10 Single factor classification (ANOVA); 11 Nested ANOVA; 12 Factorial ANOVA13 Unreplicated factorial designs - randomized block and simple repeated measures14 Partly nested designs: split plot and complex repeated measures; 15 Analysis of covariance (ANCOVA); 16 Simple Frequency Analysis; 17 Generalized linear models (GLM); Bibliography; R index; Statistics indexR - the statistical and graphical environment is rapidly emerging as an important set of teaching and research tools for biologists. This book draws upon the popularity and free availability of R to couple the theory and practice of biostatistics into a single treatment, so as to provide a textbook for biologists learning statistics, R, or both. An abridged description of biostatistical principles and analysis sequence keys are combined together with worked examples of the practical use of R into a complete practical guide to designing and analyzing real biological research. Topics covereBiometryR (Computer program language)Biometry.R (Computer program language)570.1/5195Logan Murray517065MiAaPQMiAaPQMiAaPQBOOK9910819516303321Biostatistical design and analysis using R845293UNINA