| stat.anova {stats} | R Documentation |
This is a utility function, used in lm and
glm methods for anova(..., test != NULL)
and should not be used by the average user.
stat.anova(table, test = c("Rao","LRT", "Chisq", "F", "Cp"),
scale, df.scale, n)
table |
numeric matrix as results from
|
test |
a character string, matching one of |
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 |
n |
number of observations. |
A matrix which is the original table, augmented by a column
of test statistics, depending on the test argument.
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.
##-- 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)