Nothing

```
# 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:
# nigSlider Displays normal inverse Gausssian distribution function
################################################################################
nigSlider <-
function()
{
# A function implemented by Diethelm Wuertz
# Normal Inverse Gaussian Distribution:
# dnig(x, alpha = 1, beta = 0, delta = 1, mu = 0)
# FUNCTION:
# Internal Function:
refresh.code = function(...)
{
# Sliders:
N = .sliderMenu(no = 1)
alpha = .sliderMenu(no = 2)
beta = .sliderMenu(no = 3)
delta = .sliderMenu(no = 4)
mu = .sliderMenu(no = 5)
# Plot Data:
xmin = round(qnig(0.01, alpha, beta, delta, mu), digits = 2)
xmax = round(qnig(0.99, alpha, beta, delta, mu), digits = 2)
s = seq(xmin, xmax, length = N)
y1 = dnig(s, alpha, beta, delta, mu)
y2 = pnig(s, alpha, beta, delta, mu)
main1 = paste("NIG Density\n",
"alpha = ", as.character(alpha), " | ",
"beta = ", as.character(beta), " | ",
"delta = ", as.character(delta), " | ",
"mu = ", as.character(mu))
main2 = paste("NIG Probability\n",
"xmin 0.01% = ", as.character(xmin), " | ",
"xmax 0.99% = ", as.character(xmax), " | ")
# Frame:
par(mfrow = c(2, 1), cex = 0.7)
# Density:
plot(s, y1, type = "l", xlim = c(xmin, xmax), col = "steelblue")
abline (h = 0, lty = 3)
title(main = main1)
# Probability:
plot(s, y2, type = "l", xlim = c(xmin, xmax), ylim = c(0, 1),
col = "steelblue" )
abline(h = 0.0, lty = 3)
abline(h = 1.0, lty = 3)
abline(h = 0.5, lty = 3)
abline(v = mu, lty = 3, col = "red")
title(main = main2)
# Frame:
par(mfrow = c(1, 1), cex = 0.7)
}
# Open Slider Menu:
.sliderMenu(refresh.code,
names = c( "N", "alpha", "beta", "delta", "mu"),
minima = c( 50, 0.00, -2.00, 0.00, -5.0),
maxima = c(1000, 2.00, +2.00, 10.00, +5.0),
resolutions = c( 50, 0.20, 0.20, 1.00, 1.0),
starts = c( 50, 1.00, 0.00, 1.00, 0.0))
}
################################################################################
```

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