Rare Book
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If you want to do more than just the basics thenBiostatistical Design and Analysis using Ris an excellent guide,helping you climb the steep learning curve. (British Ecological Society Bulletin, 1 March 2012) "Overall, this is an excellent reference for biologists andbiostatisticians; it is also a very good supplemental textbook fora graduate-level biostatistics course." (The Quarterly Review ofBiology, 2011)
R the statistical and graphical environment is rapidlyemerging as an important set of teaching and research tools forbiologists. This book draws upon the popularity and freeavailability of R to couple the theory and practice ofbiostatistics into a single treatment, so as to provide a textbookfor biologists learning statistics, R, or both. An abridgeddescription of biostatistical principles and analysis sequence keysare combined together with worked examples of the practical use ofR into a complete practical guide to designing and analyzing realbiological research. Topics covered include: * simple hypothesis testing, graphing * exploratory data analysis and graphical summaries * regression (linear, multi and non-linear) * simple and complex ANOVA and ANCOVA designs (including nested,factorial, blocking, spit-plot and repeated measures) * frequency analysis and generalized linear models. Linear mixed effects modeling is also incorporated extensivelythroughout as an alternative to traditional modelingtechniques. The book is accompanied by a companion websitewww.wiley.com/go/logan/r with an extensive set of resourcescomprising all R scripts and data sets used in the book, additionalworked examples, the biology package, and other instructionalmaterials and links.
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Zustand: New. If you want to do more than just the basics then Biostatistical Design and Analysis using Ris an excellent guide, helping you climb the steep learning curve. (British Ecological Society Bulletin, 1 March 2012) Overall, this is an excellent reference for b. Artikel-Nr. 447558946
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