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Field name	Details
Dewey Class	519.5
Title	Two-Way Analysis of Variance (EB) : Statistical Tests and Graphics Using R / by Thomas W. MacFarland.
Author	MacFarland, Thomas W.
Other name(s)	SpringerLink (Online service)
Publication	New York, NY : Springer , 2012.
Physical Details	VII, 150 pages, 3 illus., 2 illus. in color. : online resource.
Series	SpringerBriefs in Statistics ; 1
ISBN	9781461421344
Summary Note	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.Â 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.:
System details note	Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site	http://dx.doi.org/10.1007/978-1-4614-2134-4
Links to Related Works	Subject References: Mathematical Statistics . Statistical Theory and Methods . Statistics . Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law . Statistics, general . Authors: MacFarland, Thomas W. . Corporate Authors: SpringerLink (Online service) . Series: SpringerBriefs in Statistics . Classification: 519.5 .

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

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