Two-Way Analysis of Variance :
MacFarland, Thomas W.
Two-Way Analysis of Variance : Statistical Tests and Graphics Using R / by Thomas W. MacFarland. - vii, 150 páginas 3 ilustraciones, 2 ilustraciones en color. recurso en línea. - SpringerBriefs in Statistics ; 1 .
Springer eBooks
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.
9781461421344
10.1007/9781461421344 doi
QA276-280
Two-Way Analysis of Variance : Statistical Tests and Graphics Using R / by Thomas W. MacFarland. - vii, 150 páginas 3 ilustraciones, 2 ilustraciones en color. recurso en línea. - SpringerBriefs in Statistics ; 1 .
Springer eBooks
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.
9781461421344
10.1007/9781461421344 doi
QA276-280