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# 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
################################################################################
# FUNCTION: DESCRIPTION:
# squareBinning Square binning of irregularly distributed data sets
# plot S3 Method for plotting square binned data sets
# FUNCTION: DESCRIPTION:
# hexBinning Hexagonal binning of irregularly distributed data sets
# plot S3 Method for plotting hexagonal binned data sets
################################################################################
test.squareBinning =
function()
{
# squareBinning Square binning of irregularly distributed data sets
# plot S3 Method for plotting square binned data sets
# Generate Grid Data:
RNGkind(kind = "Marsaglia-Multicarry", normal.kind = "Inversion")
set.seed(4711, kind = "Marsaglia-Multicarry")
sB = squareBinning(x = rnorm(1000), y = rnorm(1000))
# Plot:
par(mfrow = c(1, 1))
plot(sB)
title(main = "Square Binning")
# Return Value:
return()
}
# ------------------------------------------------------------------------------
test.hexBinning =
function()
{
# hexBinning Hexagonal binning of irregularly distributed data sets
# plot S3 Method for plotting hexagonal binned data sets
# Generate Grid Data:
RNGkind(kind = "Marsaglia-Multicarry", normal.kind = "Inversion")
set.seed(4711, kind = "Marsaglia-Multicarry")
hB = hexBinning(x = rnorm(1000), y = rnorm(1000))
# Plot:
par(mfrow = c(1, 1))
plot(hB)
title(main = "Hexagonal Binning")
# Return Value:
return()
}
################################################################################
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