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Two-Way Analysis of Variance: Statistical Tests and Graphics Using R [Repost]

Posted By: ChrisRedfield
Two-Way Analysis of Variance: Statistical Tests and Graphics Using R [Repost]

Thomas W. MacFarland - Two-Way Analysis of Variance: Statistical Tests and Graphics Using R
Published: 2011-08-12 | ISBN: 1461421330 | PDF | 135 pages | 3 MB


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.