qqnl
produces a normal Laplace QQ plot of the values in
y
.
ppnl
produces a normal Laplace PP (percentpercent) or
probability plot of the values in y
.
Graphical parameters may be given as arguments to qqnl
,
and ppnl
.
1 2 3 4 5 6 7 8 9 10 11 12  qqnl(y, mu = 0, sigma = 1, alpha = 1, beta = 1,
param = c(mu, sigma, alpha, beta),
main = "Normal Laplace QQ 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 PP Plot",
xlab = "Uniform Quantiles",
ylab = "Probabilityintegraltransformed Data",
plot.it = TRUE, line = TRUE, ...)

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. 
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. 
Wilk, M. B. and Gnanadesikan, R. (1968) Probability plotting methods for the analysis of data. Biometrika. 55, 1–17.
ppoints
, dnl
, nlFit
1 2 3 4 5 6 
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