Two-Way Analysis of Variance : Statistical Tests and Graphics Using R Paperback / softback
by Thomas W. MacFarland
Part of the SpringerBriefs in Statistics series
Paperback / softback
Description
?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.
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Item not Available
- Format:Paperback / softback
- Pages:150 pages, 2 Illustrations, color; 1 Illustrations, black and white; VII, 150 p. 3 illus., 2 illus.
- Publisher:Springer-Verlag New York Inc.
- Publication Date:08/12/2011
- Category:
- ISBN:9781461421337
Other Formats
- PDF from £46.74
Information
-
Item not Available
- Format:Paperback / softback
- Pages:150 pages, 2 Illustrations, color; 1 Illustrations, black and white; VII, 150 p. 3 illus., 2 illus.
- Publisher:Springer-Verlag New York Inc.
- Publication Date:08/12/2011
- Category:
- ISBN:9781461421337
