

   OObbjjeecctt SSuummmmaarriieess

        summary(object, ...)

        summary.default   (object, ..., digits = max(3, .Options$digits -3))
        summary.data.frame(object, maxsum = 7, ...)
        summary.factor    (object, maxsum = 100, ...)
        summary.matrix    (object, ...)

   AArrgguummeennttss::

     object: an object for which a summary is desired.

     maxsum: integer, indicating how many levels should be
             shown for `factor's.

        ...: additional arguments affecting the summary pro-
             duced.

   DDeessccrriippttiioonn::

        `summary' is a generic function used to produce result
        summaries of the results of various model fitting func-
        tions.  The function invokes particular `methods' which
        depend on the `class' of the first argument.

   DDeettaaiillss::

        For `factor's, the frequency of the first `maxsum - 1'
        most frequent levels is shown, where the less frequent
        levels are summarized in `"(Others)"' (resulting in
        `maxsum' frequencies).

        The functions `summary.lm' and `summary.glm' are exam-
        ples of particular methods which summarise the results
        produced by `lm' and `glm'.

   VVaalluuee::

        The form of the value returned by `summary' depends on
        the class of its argument.  See the documentation of
        the particular methods for details of what is produced
        by that method.

   SSeeee AAllssoo::

        `anova',`summary.glm',`summary.lm'.

   EExxaammpplleess::

        options(digits=5)
        data(attenu)
        summary(attenu) #-> summary.data.frame(..)
        summary(attenu $ station, maxsum = 20) #-> summary.factor(..)

