| ISBN 13 | 9781461421337 |
| Editorial Review | "This book provides a detailed description of the
use of R code with examples for statistical tests and graphics in two-way
analysis of variance in four chapters. ... It is a great softcover book for
self-learning and self-training at a modest price." (Subir Ghosh, Technometrics, Vol. 56 (4), November,
2014) |
| Book 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. |
| Book Format | Paperback |
| Book Subtitle | Statistical Tests And Graphics Using R |
| Number of Pages | 150 |
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