Two-way analysis of variance: statistical tests and graphics using R

In statistics, analysis of variance (ANOVA) is a collection of statistical models used to distinguish between an observed variance in a particular variableand 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. INDICE: 1. Introduction.2. Data Import or Data Entry3. Data Organization4.Display the Code Book5. Conduct a Visual Data Check6. Descriptive Analysis ofthe Data.

• ISBN: 978-1-4614-2133-7
• Editorial: Springer New York
• Encuadernacion: Rústica
• Páginas: 128
• Fecha Publicación: 28/01/2012
• Nº Volúmenes: 1
• Idioma: Inglés