| glm.summaries {base} | R Documentation |
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.
summary(object, dispersion = NULL, correlation = FALSE, ...)
anova(object, ..., test = NULL)
anova.glmlist(object, 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"), ...)
object, x |
an object of class glm, typically the result of
a call to glm. |
dispersion |
the dispersion parameter for the fitting family.
By default it is obtained from glm.obj. |
correlation |
logical; if TRUE, the correlation matrix of
the estimated parameters is returned and printed. |
test |
a character string, matching one of "Chisq",
"F" or "Cp". See stat.anova. |
type |
the type of residuals which should be returned.
The alternatives are: "deviance" (default), "pearson",
"working", "response", and "partial". |
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.
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.
glm for computing glm.obj;
the corresponding generic functions, summary,
anova, coefficients, deviance,
effects, fitted.values, residuals.
## --- Continuing the Example from ``?glm'': summary(glm.D93) anova(glm.D93) anova(glm.D93, test = "Cp")