GLDEX: qqplot.gld – R documentation

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qqplot.gld

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

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

Fitting Single and Mixture of Generalised Lambda Distributions (RS and FMKL) using Various Methods

v2.0.0.7

GPL (>= 3)

Authors

Steve Su, with contributions from: Diethelm Wuertz, Martin Maechler and Rmetrics core team members for low discrepancy algorithm, Juha Karvanen for L moments codes, Robert King for gld C codes and starship codes, Benjamin Dean for corrections and input in ks.gof code and R core team for histsu function.

Initial release

2020-02-04