

   DDiissttaannccee MMaattrriixx CCoommppuuttaattiioonn

        dist(x, method = "euclidian", diag = FALSE)

        print.dist(dist.obj)

   AArrgguummeennttss::

          x: a matrix or (data frame).  Distances between the
             rows of `x' will be computed.

     method: the distance measure to be used. This must be one
             of `"euclidian"', `"maximum"', `"manhattan"',
             `"canberra"' or `"binary"'.  Any unambiguous sub-
             string can be given.

       diag: a logical value indicating whether the diagonal of
             the distance matrix should be included in the
             result.

   DDeessccrriippttiioonn::

        This function computes and returns the distance matrix
        computed by using the specified distance measure to
        compute the distances between the rows of `x'.

   VVaalluuee::

        The lower triangle of the distance matrix (with or
        without its diagonal as specified by `diag') and stored
        by columns in a single vector.  The vector has the
        attributes `"size"', `"diag"', `"labels"' and `class'
        equal to "dist".

   RReeffeerreenncceess::

        Mardia, K. V., J. T. Kent and J. M. Bibby (1979).  Mul-
        tivariate Analysis, London: Academic Press.

   SSeeee AAllssoo::

        `hclust'.

   EExxaammpplleess::

        # There are no examples yet.

