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 = 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 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.
type the type of residuals which should be returned. The alternatives are: "deviance" (default), "pearson", "working", "response", and "partial".

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'':

summary(glm.D93)
anova(glm.D93)
anova(glm.D93, test = "Cp")
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