| GIGPlots | R Documentation | 
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.
qqgig(y, chi = 1, psi = 1, lambda = 1,
      param = c(chi, psi, lambda),
      main = "GIG Q-Q Plot",
      xlab = "Theoretical Quantiles",
      ylab = "Sample Quantiles",
      plot.it = TRUE, line = TRUE, ...)
ppgig(y, chi = 1, psi = 1, lambda = 1,
      param = c(chi, psi, lambda),
      main = "GIG P-P Plot",
      xlab = "Uniform Quantiles",
      ylab = "Probability-integral-transformed Data",
      plot.it = TRUE, line = TRUE, ...)
| y | The data sample. | 
| chi | A shape parameter that by default holds a value of 1. | 
| psi | Another shape parameter that is set to 1 by default. | 
| lambda | Shape parameter of the GIG distribution. Common to all forms of parameterization. By default this is set to 1. | 
| param | 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. | 
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. | 
Wilk, M. B. and Gnanadesikan, R. (1968) Probability plotting methods for the analysis of data. Biometrika. 55, 1–17.
ppoints, dgig.
par(mfrow = c(1, 2))
y <- rgig(1000, param = c(2, 3, 1))
qqgig(y, param = c(2, 3, 1), line = FALSE)
abline(0, 1, col = 2)
ppgig(y, param = c(2, 3, 1))
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.