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[null,"1.","Record Nr.",null,"UNINA9910140604503321"]
[null,null,"Autore",null,"Logan Murray"]
[null,null,"Titolo",null,"Biostatistical design and analysis using R [[electronic resource] ] : a practical guide / / Murray Logan"]
[null,null,"Pubbl/distr/stampa",null,"Hoboken, N.J., : Wiley-Blackwell, 2010"]
[null,null,"ISBN",null,"1-4443-6247-X"]
[{"$nulls":4},"1-282-54792-5"]
[{"$nulls":4},"9786612547928"]
[{"$nulls":4},"1-4443-1962-0"]
[{"$nulls":4},"1-4443-1963-9"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (576 p.)"]
[null,null,"Disciplina",null,"570.1/5195"]
[null,null,"Soggetti",null,"Biometry"]
[{"$nulls":4},"R (Computer program language)"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Biostatistical Design and Analysis Using R; Contents; Preface; R quick reference card; General key to statistical methods; 1 Introduction to R; 2 Datasets; 3 Introductory statistical principles; 4 Sampling and experimental design with R; 5 Graphical data presentation; 6 Simple hypothesis testing - one and two population tests; 7 Introduction to Linear models; 8 Correlation and simple linear regression; 9 Multiple and curvilinear regression; 10 Single factor classification (ANOVA); 11 Nested ANOVA; 12 Factorial ANOVA"]
[{"$nulls":4},"13 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 index"]
[null,null,null,"Sommario/riassunto","R - 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 "]
[{"$nulls":4},"research. Topics covere"]