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Two-Way Analysis of Variance : Statistical Tests and Graphics Using R / by Thomas W. MacFarland
(SpringerBriefs in Statistics. ISSN:21915458)
版 | 1st ed. 2012. |
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出版者 | New York, NY : Springer New York : Imprint: Springer |
出版年 | 2012 |
本文言語 | 英語 |
大きさ | VII, 150 p. 3 illus., 2 illus. in color : online resource |
著者標目 | *MacFarland, Thomas W author SpringerLink (Online service) |
件 名 | LCSH:Social sciences -- Statistical methods
全ての件名で検索
LCSH:Statistics FREE:Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy FREE:Statistics FREE:Statistical Theory and Methods |
一般注記 | 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 graphical figures to complement outcomes from parametric Two-Way ANOVA. HTTP:URL=https://doi.org/10.1007/978-1-4614-2134-4 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9781461421344 |
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EB00237739 |
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