# inst/unitTests/runit.BivariateBinning.R In fMultivar: Rmetrics - Analysing and Modeling Multivariate Financial Return Distributions

```# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Library General Public
# 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()
}

################################################################################
```

## Try the fMultivar package in your browser

Any scripts or data that you put into this service are public.

fMultivar documentation built on Nov. 17, 2017, 2:19 p.m.