glm.summaries {base}R Documentation

Accessing Generalized Linear Model Fits

Description

These functions are all methods for class glm or summary.glm objects.

Usage

summary(object, dispersion = NULL, correlation = FALSE, ...)
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.
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".

Value

The function summary can be used to obtain or print a summary of the results.

See Also

glm for computing glm.obj, anova.glm; the corresponding generic functions, summary, coefficients, deviance, effects, fitted.values, residuals.

Examples

## --- Continuing the Example from  ``?glm'':

summary(glm.D93)