| 书目名称 | Two-Way Analysis of Variance |
| 副标题 | Statistical Tests an |
| 编辑 | Thomas W. MacFarland |
| 视频video | http://file.papertrans.cn/932/931331/931331.mp4 |
| 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 |
|Archiver|手机版|小黑屋|
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