| 书目名称 | Two-Way Analysis of Variance | | 副标题 | Statistical Tests an | | 编辑 | Thomas W. MacFarland | | 视频video | | | 概述 | Includes supplementary material: | | 丛书名称 | SpringerBriefs in Statistics | | 图书封面 |  | | 描述 | In statistics, analysis of variance (ANOVA) is a collection of statistical models used to distinguish between an observed variance in a particular variable and its component parts. In its simplest form, ANOVA provides a statistical test of whether or not the means of several groups are all equal, and therefore generalizes a test between these groups. One test often used by statisticians and researchers in their work is the Two-Way ANOVA, which determines the differences--and possible interactions--when variables are presented from the perspective of two or more categories. When a Two-Way ANOVA is implemented, it enables one to compare and contrast variables resulting from independent or joint actions. This brief provides guidance on how R can be used to facilitate Two-Way ANOVA for data analysis and graphical presentation. Along with instruction on the use of R and R syntax associated with Two-Way ANOVA, this brief will also reinforce the use of descriptive statistics and graphicalfigures to complement outcomes from parametric Two-Way ANOVA. | | 出版日期 | Book 2012 | | 关键词 | Analysis of Variance; Density Plot; Multiple Comparisons; R Functions; Statistics | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4614-2134-4 | | isbn_softcover | 978-1-4614-2133-7 | | isbn_ebook | 978-1-4614-2134-4Series ISSN 2191-544X Series E-ISSN 2191-5458 | | issn_series | 2191-544X | | copyright | Thomas W. MacFarland 2012 |
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发表于 2025-3-21 19:25:10
