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Last data update: 2014.03.03

R: Normal Laplace Quantile-Quantile and Percent-Percent Plots

nlPlots

R Documentation

Normal Laplace Quantile-Quantile and Percent-Percent Plots

Description

qqnl produces a normal Laplace Q-Q plot of the values in y.

ppnl produces a normal Laplace P-P (percent-percent) or probability plot of the values in y.

Graphical parameters may be given as arguments to qqnl, and ppnl.

Usage

qqnl(y, mu = 0, sigma = 1, alpha = 1, beta = 1,
     param = c(mu, sigma, alpha, beta),
     main = "Normal Laplace Q-Q Plot",
     xlab = "Theoretical Quantiles",
     ylab = "Sample Quantiles",
     plot.it = TRUE, line = TRUE, ...)
ppnl(y, mu = 0, sigma = 1, alpha = 1, beta = 1,
     param = c(mu, sigma, alpha, beta),
     main = "Normal Laplace P-P Plot",
     xlab = "Uniform Quantiles",
     ylab = "Probability-integral-transformed Data",
     plot.it = TRUE, line = TRUE, ...)

Arguments

`y`	The data sample.
`mu`	mu is the location parameter. By default this is set to 0.
`sigma`	sigma is the variance parameter of the distribution. A default value of 1 has been set.
`alpha`	alpha is a skewness parameter, with a default value of 1.
`beta`	beta is a shape parameter, by default this is 1.
`param`	Parameters of the normal Laplace distribution.
`xlab, ylab, main`	Plot labels.
`plot.it`	Logical. Should the result be plotted?
`line`	Add line through origin with unit slope.
`...`	Further graphical parameters.

Value

For qqnl and ppnl, a list with components:

`x`	The x coordinates of the points that are to be plotted.
`y`	The y coordinates of the points that are to 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))
param <- c(2, 2, 1, 1)
y <- rnl(200, param = param)
qqnl(y, param = param, line = FALSE)
abline(0, 1, col = 2)
ppnl(y, param = param)

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.
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Type 'license()' or 'licence()' for distribution details.

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'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
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Type 'q()' to quit R.

> library(NormalLaplace)
Loading required package: DistributionUtils
Loading required package: RUnit
Loading required package: GeneralizedHyperbolic
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/NormalLaplace/qqnl.Rd_%03d_medium.png", width=480, height=480)
> ### Name: nlPlots
> ### Title: Normal Laplace Quantile-Quantile and Percent-Percent Plots
> ### Aliases: qqnl ppnl
> ### Keywords: nlplot distribution
> 
> ### ** Examples
> 
> par(mfrow = c(1, 2))
> param <- c(2, 2, 1, 1)
> y <- rnl(200, param = param)
> qqnl(y, param = param, line = FALSE)
> abline(0, 1, col = 2)
> ppnl(y, param = param)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>