Two-Way Analysis of Variance
Produktnummer:
1868a488e2bda249caac13dc820ca0d24e
| Autor: | MacFarland, Thomas W. |
|---|---|
| Themengebiete: | Analysis of Variance Density Plot Multiple Comparisons R Functions Statistics |
| Veröffentlichungsdatum: | 09.12.2011 |
| EAN: | 9781461421337 |
| Sprache: | Englisch |
| Seitenzahl: | 150 |
| Produktart: | Kartoniert / Broschiert |
| Verlag: | Springer US |
| Untertitel: | Statistical Tests and Graphics Using R |
Produktinformationen "Two-Way Analysis of Variance"
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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