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Two-Way Analysis of Variance - Statistical Tests and Graphics Using R (Paperback, 2012 ed.)
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Two-Way Analysis of Variance - Statistical Tests and Graphics Using R (Paperback, 2012 ed.)
Series: SpringerBriefs in Statistics
Expected to ship within 10 - 15 working days
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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.
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