glm.summary               package: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'.

See Also:

     `glm', `summary'.

Examples:

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

     summary(glm.D93)

