stat.anova

From stats v3.2.2 by R-core R-core@R-project.org

GLM Anova Statistics

This is a utility function, used in lm and glm methods for anova(..., test != NULL) and should not be used by the average user.

Keywords: models, regression

Usage

stat.anova(table, test = c("Rao","LRT", "Chisq", "F", "Cp"), scale, df.scale, n)

Arguments

table: numeric matrix as results from anova.glm(..., test = NULL).
test: a character string, partially matching one of "Rao", "LRT", "Chisq", "F" or "Cp".
scale: a residual mean square or other scale estimate to be used as the denominator in an F test.
df.scale: degrees of freedom corresponding to scale.
n: number of observations.

Value

A matrix which is the original table, augmented by a column of test statistics, depending on the test argument.

References

Hastie, T. J. and Pregibon, D. (1992) Generalized linear models. Chapter 6 of Statistical Models in S eds J. M. Chambers and T. J. Hastie, Wadsworth & Brooks/Cole.

Examples

library(stats)

##-- Continued from '?glm':

print(ag <- anova(glm.D93))
stat.anova(ag$table, test = "Cp",
           scale = sum(resid(glm.D93, "pearson")^2)/4,
           df.scale = 4, n = 9)

Documentation reproduced from package stats, version 3.2.2, License: Part of R 3.2.2

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