R: Summarizing Generalized Linear Model Fits

glm.summary {base}

R Documentation

Summarizing Generalized Linear Model Fits

Description

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

Usage

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

print(x, digits = max(3, getOption("digits") - 3),
              na.print = "", symbolic.cor = p > 4,
              signif.stars = getOption("show.signif.stars"), ...)

Arguments

`object`	an object of class `"glm"`, usually, a result of a call to `glm`.
`x`	an object of class `"summary.glm"`, usually, a result of a call to `summary.glm`.
`dispersion`	the dispersion parameter for the fitting family. By default it is obtained from `object`.
`correlation`	logical; if `TRUE`, the correlation matrix of the estimated parameters is returned and printed.
`digits`	the number of significant digits to use when printing.
`na.print`	Unused.
`symbolic.cor`	logical. If `TRUE`, print the correlations in a symbolic form (see `symnum` rather than as numbers.
`signif.stars`	logical. If `TRUE`, ``significance stars'' are printed for each coefficient.
`...`	further arguments passed to or from other methods.

Details

print.summary.glm tries to be smart about formatting the coefficients, standard errors, etc. and additionally gives ``significance stars'' if signif.stars is TRUE.

Examples

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

summary(glm.D93)