| glm.summaries {base} | R Documentation |
Accessing Generalized Linear Model Fits
Description
These functions are all methods for class glm or
summary.glm and anova.glm objects.
anova.glmlist is called from anova.glm for comparison of
several glm models.
Usage
summary(object, dispersion = NULL, correlation = FALSE, ...)
anova(object, dispersion = NULL, ..., test = NULL)
anova.glmlist(object, dispersion = NULL, test = NULL, ...)
coefficients(x) ; coef(x)
df.residual(x)
family(x)
fitted.values(x) ; fitted(x)
residuals(x, type = c("deviance", "pearson", "working",
"response", "partial"), ...)
print.summary(summary.glm.obj, digits = max(3, getOption("digits") - 3),
na.print = "", symbolic.cor = p > 4,
signif.stars = getOption("show.signif.stars"), ...)
Arguments
object, x |
an object of class |
dispersion |
the dispersion parameter for the fitting family.
By default it is obtained from |
correlation |
logical; if |
test |
a character string, matching one of |
type |
the type of residuals which should be returned.
The alternatives are: |
Value
The function summary can be used to obtain or print
a summary of the results and the function anova
and be used to produce and analysis of variance table.
Warning
The comparison between two or more models by anova or
anova.glmlist will only be valid if they
are fitted to the same dataset. This may be a problem if there are
missing values and R's default of na.action = na.omit is used.
See Also
glm for computing glm.obj;
the corresponding generic functions, summary,
anova, coefficients, deviance,
effects, fitted.values, residuals.
Examples
## --- Continuing the Example from ``?glm'':%\code{\link{glm}}:
summary(glm.D93)
anova(glm.D93)
anova(glm.D93, test = "Cp")
anova(glm.D93, test = "Chisq")