
# 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:                 COLUMN STATISTICS:
#  colStats                  Computes sample statistics by column
#  colSums                   Computes sums of all values in each column
#  colMeans                  Computes means of all values in each column
#  colSds                    Computes standardard deviation of each column
#  colVars                   Computes sample variance by column
#  colSkewness               Computes sample skewness by column
#  colKurtosis               Computes sample kurtosis by column
#  colMaxs                   Computes maximum values in each colum
#  colMins                   Computes minimum values in each colum
#  colProds                  Computes product of all values in each colum
# FUNCTION:                 NO LONGER USED:
#  colAvgs                   Computes sample mean by column
#  colStdevs                 Computes sample standard deviation by column
#  mean.timeSeries           Computes sample means by column
#  var.timeSeries            Computes sample variance by column
################################################################################


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


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

