qqplot.gld: Do a quantile plot on the univariate distribution fits.

In GLDEX: Fitting Single and Mixture of Generalised Lambda Distributions

Do a quantile plot on the univariate distribution fits.

Description

This plots the theoretical and actual data quantiles to allow the user to examine the adequacy of a single gld distribution fit.

Usage

qqplot.gld(data, fit, param, len = 10000, name = "", 
corner = "topleft",type="",range=c(0,1),xlab="",main="")

Arguments

data	Data fitted.
fit	Parameters of distribution fit.
param	Can be either "rs" or "fmkl".
len	Precision of the quantile calculatons. Default is 10000. This means 10000 points are taken from 0 to 1.
name	Name of the data set, added to the title of plot if main is missing.
corner	Can be "bottomright", "bottom", "bottomleft", "left", "topleft", "top", "topright", "right", "center" as in legend.
type	This can be "" or "str.qqplot", the first produces the raw quantiles and the second plot them on a straight line. Default is "".
range	This is the range for which the quantiles are to be plotted. Default is c(0,1).
xlab	x axis label, if left blank, then default is "Data".
main	Title of the plot, if left blank, a default title will be added.

Value

A plot is given.

Author(s)

Steve Su

See Also

qqplot.gld.bi

Examples

 set.seed(1000)

 junk<-rweibull(300,3,2)

# Fit the function using fun.data.fit.ml
 obj.fit1.ml<-fun.data.fit.ml(junk)

# Do a quantile plot on the raw quantiles
 qqplot.gld(junk,obj.fit1.ml[,1],param="rs",name="RS ML fit")

# Or a qq plot to examine deviation from straight line
 qqplot.gld(junk,obj.fit1.ml[,1],param="rs",name="RS ML fit",type="str.qqplot")

GLDEX documentation built on Aug. 21, 2023, 9:08 a.m.