GIGPlots {HyperbolicDist} | R Documentation |
Generalized Inverse Gaussian Quantile-Quantile and Percent-Percent Plots
Description
qqgig
produces a generalized inverse Gaussian QQ plot of the
values in y
.
ppgig
produces a generalized inverse Gaussian PP (percent-percent) or
probability plot of the values in y
.
If line = TRUE
, a line with zero intercept and unit slope is
added to the plot.
Graphical parameters may be given as arguments to qqgig
, and
ppgig
.
Usage
qqgig(y, Theta, main = "GIG Q-Q Plot",
xlab = "Theoretical Quantiles",
ylab = "Sample Quantiles",
plot.it = TRUE, line = TRUE, ...)
ppgig(y, Theta, main = "GIG P-P Plot",
xlab = "Uniform Quantiles",
ylab = "Probability-integral-transformed Data",
plot.it = TRUE, line = TRUE, ...)
Arguments
y |
The data sample. |
Theta |
Parameters of the generalized inverse Gaussian distribution. |
xlab , ylab , main |
Plot labels. |
plot.it |
Logical. TRUE denotes the results should be plotted. |
line |
Logical. If TRUE, a line with zero intercept and unit slope is added to the plot. |
... |
Further graphical parameters. |
Value
For qqgig
and ppgig
, a list with components:
x |
The x coordinates of the points that are be plotted. |
y |
The y coordinates of the points that are be plotted. |
References
Wilk, M. B. and Gnanadesikan, R. (1968) Probability plotting methods for the analysis of data. Biometrika. 55, 1–17.
See Also
Examples
par(mfrow=c(1,2))
y <- rgig(1000,c(1,2,3))
qqgig(y,c(1,2,3),line=FALSE)
abline(0,1,col=2)
ppgig(y,c(1,2,3))