| 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,
na.action = na.omit)
anova(object, ..., test = NULL, na.action = na.omit)
anova.glmlist(object, test = NULL, na.action = na.omit)
coefficients(x) ; coef(x)
df.residual(x)
family(x)
fitted.values(x) ; fitted(x)
residuals(x, type="deviance")
print.summary(summary.glm.obj, digits = max(3, .Options$digits - 3),
na.print="", symbolic.cor = p > 4,
signif.stars= .Options$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 |
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.
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")