Two-way analysis of variance : statistical tests and graphics using R
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Bibliographic Information
Two-way analysis of variance : statistical tests and graphics using R
（Springer Briefs in statistics）
Springer, c2012
- : [pbk.]
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Description and Table of Contents
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 graphical figures to complement outcomes from parametric Two-Way ANOVA.
Table of Contents
1. Introduction.2. Data Import or Data Entry3. Data Organization4. Display the Code Book5. Conduct a Visual Data Check6. Descriptive Analysis of the Data.
by "Nielsen BookData"