Biostatistical Design and Analysis Using R 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Biostatistical Design and Analysis Using R

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Murray Logan 作者
Wiley-Blackwell (an imprint of John Wiley & Sons Ltd)
译者
2009-02-28 出版日期
576 页数
£ 100.00 价格
Hardcover
丛书系列
9781444335248 图书编码

Biostatistical Design and Analysis Using R 在线电子书 图书标签: R  论文有关  研究生看的书  生物   


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Biostatistical Design and Analysis Using R 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Biostatistical Design and Analysis Using R 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Biostatistical Design and Analysis Using R 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



Biostatistical Design and Analysis Using R 在线电子书 用户评价

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很不错的R入门书,很建议看看,讲解的特别好

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很不错的R入门书,很建议看看,讲解的特别好

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很不错的R入门书,很建议看看,讲解的特别好

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很不错的R入门书,很建议看看,讲解的特别好

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很不错的R入门书,很建议看看,讲解的特别好

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Biostatistical Design and Analysis Using R 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Biostatistical Design and Analysis Using R 在线电子书 图书描述

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 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 extensively throughout as an alternative to traditional modeling techniques. The book is accompanied by a companion website www.wiley.com/go/logan/r with an extensive set of resources comprising all R scripts and data sets used in the book, additional worked examples, the biology package, and other instructional materials and links.

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