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Last data update: 2014.03.03

R: Generalized Inverse Gaussian Quantile-Quantile and...

GIGPlots

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, 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, ...)

Arguments

`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.

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.

Examples

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))

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(GeneralizedHyperbolic)
Loading required package: DistributionUtils
Loading required package: RUnit
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/GeneralizedHyperbolic/qqgig.Rd_%03d_medium.png", width=480, height=480)
> ### Name: GIGPlots
> ### Title: Generalized Inverse Gaussian Quantile-Quantile and
> ###   Percent-Percent Plots
> ### Aliases: qqgig ppgig
> ### Keywords: hplot distribution
> 
> ### ** Examples
> 
> 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))
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>