stat.anova

0th

Percentile

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.

See Also

anova.lm, anova.glm.

Aliases
  • stat.anova
Examples
library(stats) ##-- Continued from '?glm': utils::example("glm", echo = FALSE) 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 3.3, License: Part of R 3.3

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