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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:
# gridData Generates a grid data set
# persp.gridData Generates a perspective plot from a grid data object
# contour.gridData Generates a contour plot from a grid data object
# REQUIREMENT: DESCRIPTION:
# akima Package
# spatial Package
################################################################################
test.gridData =
function()
{
# gridData Generates a grid data set
# persp.gridData Generates a perspective plot from a grid data object
# contour.gridData Generates a contour plot from a grid data object
# Generate Grid Data:
gD <- gridData()
# Perspective Plot:
persp(gD)
# Contour Plot:
contour(gD)
# Return Value:
return()
}
# ------------------------------------------------------------------------------
## Cannot be checked on CRAN because of the akima library
# test.gridDataPlot =
# function()
# {
# # gridData Generates a grid data set
# # persp.gridData Generates a perspective plot from a grid data object
# # contour.gridData Generates a contour plot from a grid data object
#
# # Generate Akima interpolated Grid Data:
# # Does not run for r-solaris-x86
# if (FALSE) {
# require(akima)
# RNGkind(kind = "Marsaglia-Multicarry", normal.kind = "Inversion")
# set.seed(4711, kind = "Marsaglia-Multicarry")
# x = runif(999)-0.5
# y = runif(999)-0.5
# z = cos(2*pi*(x^2+y^2))
# ans = akimaInterp(x, y, z, extrap = FALSE)
# persp(ans)
# title(main = "Akima Interpolation")
# contour(ans)
# title(main = "Akima Interpolation")
# }
#
# # Generate Kriged Grid Data:
# require(spatial)
# RNGkind(kind = "Marsaglia-Multicarry", normal.kind = "Inversion")
# set.seed(4711, kind = "Marsaglia-Multicarry")
# x = runif(999)-0.5
# y = runif(999)-0.5
# z = cos(2*pi*(x^2+y^2))
# ans = krigeInterp(x, y, z, extrap = FALSE)
# persp(ans)
# title(main = "Kriging")
# contour(ans)
# title(main = "Kriging")
#
# # Return Value:
# return()
# }
################################################################################
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