# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Library General Public
# License as published by the Free Software Foundation; either
# version 2 of the License, or (at your option) any later version.
#
# This library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 
# GNU Library General Public License for more details.
#
# You should have received a copy of the GNU Library General 
# Public License along with this library; if not, write to the 
# Free Foundation, Inc., 59 Temple Place, Suite 330, Boston, 
# MA  02111-1307  USA

# Copyrights (C)
# for this R-port: 
#   1999 - 2008, Diethelm Wuertz, Rmetrics Foundation, GPL
#   Diethelm Wuertz <wuertz@itp.phys.ethz.ch>
#   www.rmetrics.org
# for the code accessed (or partly included) from other R-ports:
#   see R's copyright and license files
# for the code accessed (or partly included) from contributed R-ports
# and other sources
#   see Rmetrics's copyright file 


################################################################################
# FUNCTION:                 INTERNAL USED PLOT FUNCTIONS:
#  .residualsPlot            Returns a residual series plot
#  .acfPlot                  Returns a autocorrelation function plot
#  .pacfPlot                 Returns a partial ACF plot
#  .mrlPlot                  Returns a mean residual life plot
# FUNCTION:                 INTERNAL USED BIVARIATE PLOT FUNCTIONS:
#  .responsesPlot            Returns a response series plot
#  .firePlot                 Returns a fitted values vs.residuals plot
# FUNCTION:                 INTERNAL THREE-DIMENSIONAL PLOT UTILITIES:
#  .circlesPlot              Returns a circles plot indexing 3rd variable
#  .perspPlot                Returns a perspective plot in 2 dimensions
#  .contourPlot              Returns a contour plot in 2 dimensions
#  .histStack                Returns a stacked histogram plot
################################################################################


test.plot <-  
    function()
{
    # Plot:
    NA
    
    # Return Value:
    return()
}


################################################################################