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

By Thomas W. Macfarland

​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.

• Format: Paperback
• Language: English
• ISBN: 1461421330
• ISBN13: 9781461421337
• Release Date: December 2011
• Publisher: Springer
• Length: 150 Pages
• Weight: 0.50 lbs.
• Dimensions: 0.4" x 6.0" x 9.0"