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) # NOT RUN { ##-- Continued from '?glm': # } # NOT RUN { 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 3.5.0, License: Part of R 3.5.0

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