qqgl {gld} | R Documentation |
qqgl
produces a Quantile-Quantile plot against the
generalised lambda distribution. It does for the generalised lambda
distribution what qqnorm
does for the normal.
qqgl(y, lambda1, lambda2, lambda3, lambda4, param = "fmkl", abline = TRUE, ...)
y |
The data sample |
lambda1 |
lambda 1 - location parameter Note that the numbering of the lambda parameters is different to that used by Freimer, Mudholkar, Kollia and Lin. |
lambda2 |
lambda 2 - scale parameter |
lambda3 |
lambda 3 - first shape parameter |
lambda4 |
lambda 4 - second shape parameter |
param |
choose parameterisation:
fmkl uses Freimer, Mudholkar, Kollia and Lin (1988) (default).
rs uses Ramberg and Schmeiser (1974) |
abline |
A logical value, TRUE adds a line through the origian with a slope of 1 to the plot |
... |
graphical parameters |
See gld
for more details on the Generalised Lambda
Distribution. A Q-Q plot provides a way to visually assess the
correspondence between a dataset and a particular distribution.
A list of the same form as that returned by qqline
x |
The x coordinates of the points that were/would be plotted, corresponding to a generalised lambda distibution with parameters lambda 1, lambda 2, lambda 3, lambda 4. |
y |
The original y vector, i.e., the corresponding y
coordinates. |
Robert King, robert.king@newcastle.edu.au, http://maths.newcastle.edu.au/~rking/
King, R.A.R. & MacGillivray, H. L. (1999), A starship method for fitting the generalised lambda distributions, Australian and New Zealand Journal of Statistics 41, 353–374
http://maths.newcastle.edu.au/~rking/gld/
qqgl(rgl(100,0,1,0,-.1),0,1,0,-.1)